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Books and Theses
- 2002
[b1]Sanjay Shakkottai:
Resource Allocation for Quality of Service in a Heterogeneous Network. University of Illinois Urbana-Champaign, USA, 2002
Journal Articles
- 2024
- [j67]Zaiwei Chen
, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
A Lyapunov Theory for Finite-Sample Guarantees of Markovian Stochastic Approximation. Oper. Res. 72(4): 1352-1367 (2024) - [j66]Arghyadip Roy, Sanjay Shakkottai, R. Srikant:
Adaptive KL-UCB Based Bandit Algorithms for Markovian and I.I.D. Settings. IEEE Trans. Autom. Control. 69(4): 2637-2644 (2024) - [j65]Nihal Sharma, Rajat Sen, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai:
Bandits with Stochastic Experts: Constant Regret, Empirical Experts and Episodes. ACM Trans. Model. Perform. Evaluation Comput. Syst. 9(3): 12:1-12:33 (2024) - 2023
- [j64]Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai:
Multiagent Low-Dimensional Linear Bandits. IEEE Trans. Autom. Control. 68(5): 2667-2682 (2023) - 2022
- [j63]Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Learning To Maximize Welfare with a Reusable Resource. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 27:1-27:30 (2022) - [j62]Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai:
Online Learning for Hierarchical Scheduling to Support Network Slicing in Cellular Networks. SIGMETRICS Perform. Evaluation Rev. 49(3): 8-9 (2022) - [j61]Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai:
Meta-Scheduling for the Wireless Downlink Through Learning With Bandit Feedback. IEEE/ACM Trans. Netw. 30(2): 487-500 (2022) - 2021
- [j60]Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai:
Learning Unknown Service Rates in Queues: A Multiarmed Bandit Approach. Oper. Res. 69(1): 315-330 (2021) - [j59]Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai:
Online learning for hierarchical scheduling to support network slicing in cellular networks. Perform. Evaluation 152: 102237 (2021) - [j58]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. Proc. ACM Meas. Anal. Comput. Syst. 6(3): 53:1-53:57 (2021) - [j57]Isfar Tariq, Rajat Sen, Thomas David Novlan, Salam Akoum, Milap Majmundar, Gustavo de Veciana, Sanjay Shakkottai:
Auto-Tuning for Cellular Scheduling Through Bandit-Learning and Low-Dimensional Clustering. IEEE/ACM Trans. Netw. 29(5): 1933-1947 (2021) - 2020
- [j56]Arjun Anand, Gustavo de Veciana, Sanjay Shakkottai:
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks. IEEE/ACM Trans. Netw. 28(2): 477-490 (2020) - 2019
- [j55]Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
Social Learning in Multi Agent Multi Armed Bandits. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 53:1-53:35 (2019) - 2018
- [j54]Eli A. Meirom, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai:
Detecting Cascades from Weak Signatures. IEEE Trans. Netw. Sci. Eng. 5(4): 313-325 (2018) - [j53]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Searching for a Single Community in a Graph. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(3): 13:1-13:17 (2018) - [j52]Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman:
Adaptive TTL-Based Caching for Content Delivery. IEEE/ACM Trans. Netw. 26(3): 1063-1077 (2018) - [j51]Subhashini Krishnasamy, P. T. Akhil, Ari Arapostathis, Rajesh Sundaresan, Sanjay Shakkottai:
Augmenting Max-Weight With Explicit Learning for Wireless Scheduling With Switching Costs. IEEE/ACM Trans. Netw. 26(6): 2501-2514 (2018) - 2017
- [j50]Avik Ray, Joe Neeman, Sujay Sanghavi, Sanjay Shakkottai:
The Search Problem in Mixture Models. J. Mach. Learn. Res. 18: 206:1-206:61 (2017) - [j49]Sharayu Moharir, Subhashini Krishnasamy, Sanjay Shakkottai:
Scheduling in Densified Networks: Algorithms and Performance. IEEE/ACM Trans. Netw. 25(1): 164-178 (2017) - 2016
- [j48]Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai:
Online Collaborative Filtering on Graphs. Oper. Res. 64(3): 756-769 (2016) - [j47]Javad Ghaderi, Sanjay Shakkottai, R. Srikant:
Scheduling Storms and Streams in the Cloud. ACM Trans. Model. Perform. Evaluation Comput. Syst. 1(4): 14:1-14:28 (2016) - [j46]Subhashini Krishnasamy, Rajat Sen, Sanjay Shakkottai, Sewoong Oh:
Detecting Sponsored Recommendations. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2(1): 6:1-6:29 (2016) - [j45]Sharayu Moharir, Sujay Sanghavi, Sanjay Shakkottai:
Online Load Balancing Under Graph Constraints. IEEE/ACM Trans. Netw. 24(3): 1690-1703 (2016) - 2015
- [j44]Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai:
Wireless scheduling with partial channel state information: large deviations and optimality. Queueing Syst. Theory Appl. 80(4): 293-340 (2015) - [j43]Sharayu Moharir, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai:
Serving content with unknown demand: the high-dimensional regime. Queueing Syst. Theory Appl. 81(2-3): 231-264 (2015) - [j42]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Distinguishing Infections on Different Graph Topologies. IEEE Trans. Inf. Theory 61(6): 3100-3120 (2015) - [j41]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Improved Greedy Algorithms for Learning Graphical Models. IEEE Trans. Inf. Theory 61(6): 3457-3468 (2015) - [j40]Sharayu Moharir, Sanjay Shakkottai:
MaxWeight Versus BackPressure: Routing and Scheduling in Multichannel Relay Networks. IEEE/ACM Trans. Netw. 23(5): 1584-1598 (2015) - 2014
- [j39]Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant:
Scheduling in Multi-Channel Wireless Networks: Rate Function Optimality in the Small-Buffer Regime. IEEE Trans. Inf. Theory 60(2): 1101-1125 (2014) - [j38]Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai:
Epidemic Spreading With External Agents. IEEE Trans. Inf. Theory 60(7): 4125-4138 (2014) - 2013
- [j37]Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai:
On the Value of Coordination and Delayed Queue Information in Multicellular Scheduling. IEEE Trans. Autom. Control. 58(6): 1443-1456 (2013) - [j36]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
On the Role of Mobility for Multimessage Gossip. IEEE Trans. Inf. Theory 59(6): 3953-3970 (2013) - [j35]Xinzhou Wu, Saurabha Tavildar, Sanjay Shakkottai, Tom Richardson, Junyi Li, Rajiv Laroia, Aleksandar Jovicic:
FlashLinQ: A Synchronous Distributed Scheduler for Peer-to-Peer Ad Hoc Networks. IEEE/ACM Trans. Netw. 21(4): 1215-1228 (2013) - 2012
- [j34]François Baccelli, Junyi Li, Thomas J. Richardson, Sanjay Shakkottai, Sundar Subramanian, Xinzhou Wu:
On optimizing CSMA for wide area ad hoc networks. Queueing Syst. Theory Appl. 72(1-2): 31-68 (2012) - [j33]Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying:
On distributed scheduling with heterogeneously delayed network-state information. Queueing Syst. Theory Appl. 72(3-4): 193-218 (2012) - [j32]Siddhartha Banerjee, Piyush Gupta, Sanjay Shakkottai:
Towards a queueing-based framework for in-network function computation. Queueing Syst. Theory Appl. 72(3-4): 219-250 (2012) - [j31]Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter:
Many Flows Asymptotics for SMART Scheduling Policies. IEEE Trans. Autom. Control. 57(2): 376-391 (2012) - [j30]Lei Ying, Sanjay Shakkottai:
Scheduling in Mobile Ad Hoc Networks With Topology and Channel-State Uncertainty. IEEE Trans. Autom. Control. 57(10): 2504-2517 (2012) - [j29]Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai:
On Wireless Scheduling With Partial Channel-State Information. IEEE Trans. Inf. Theory 58(1): 403-420 (2012) - [j28]Jung Ryu, Lei Ying, Sanjay Shakkottai:
Timescale Decoupled Routing and Rate Control in Intermittently Connected Networks. IEEE/ACM Trans. Netw. 20(4): 1138-1151 (2012) - [j27]Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant:
Low-Complexity Scheduling Algorithms for Multichannel Downlink Wireless Networks. IEEE/ACM Trans. Netw. 20(5): 1608-1621 (2012) - 2011
- [j26]Jung Ryu, Lei Ying, Sanjay Shakkottai:
On Efficient Data Transport with Mobile Carriers. IEEE J. Sel. Areas Commun. 29(10): 1991-2001 (2011) - [j25]Lei Ying, Sanjay Shakkottai:
On Throughput Optimality With Delayed Network-State Information. IEEE Trans. Inf. Theory 57(8): 5116-5132 (2011) - [j24]Lei Ying, Sanjay Shakkottai, Aneesh Reddy, Shihuan Liu:
On combining shortest-path and back-pressure routing over multihop wireless networks. IEEE/ACM Trans. Netw. 19(3): 841-854 (2011) - 2010
- [j23]Sundar Subramanian, Sanjay Shakkottai:
Geographic routing with limited information in sensor networks. IEEE Trans. Inf. Theory 56(9): 4506-4519 (2010) - [j22]Sandeep Bhadra, Sanjay Shakkottai:
Buffer Asymptotics for Coding Over Networks. IEEE Trans. Inf. Theory 56(12): 6159-6181 (2010) - [j21]Yung Yi, Gustavo de Veciana, Sanjay Shakkottai:
MAC Scheduling With Low Overheads by Learning Neighborhood Contention Patterns. IEEE/ACM Trans. Netw. 18(5): 1637-1650 (2010) - 2009
- [j20]Yung Yi, Sanjay Shakkottai:
On the Elasticity of Marking Functions in an Integrated Network. IEEE Trans. Autom. Control. 54(2): 323-336 (2009) - 2008
- [j19]Jeffrey G. Andrews, Sanjay Shakkottai, Robert W. Heath Jr., Nihar Jindal, Martin Haenggi, Randy Berry, Dongning Guo, Michael J. Neely, Steven Weber, Syed Ali Jafar, Aylin Yener:
Rethinking information theory for mobile ad hoc networks. IEEE Commun. Mag. 46(12): 94-101 (2008) - [j18]Sanjay Shakkottai:
Effective Capacity and QoS for Wireless Scheduling. IEEE Trans. Autom. Control. 53(3): 749-761 (2008) - [j17]Sandeep Bhadra, Shreeshankar Bodas, Sanjay Shakkottai, Sriram Vishwanath:
Communication Through Jamming Over a Slotted ALOHA Channel. IEEE Trans. Inf. Theory 54(11): 5257-5262 (2008) - [j16]Sundar Subramanian, Sanjay Shakkottai, Ari Arapostathis:
Broadcasting in sensor networks: the role of local information. IEEE/ACM Trans. Netw. 16(5): 1133-1146 (2008) - 2007
- [j15]Yung Yi, Sanjay Shakkottai:
FluNet: A hybrid internet simulator for fast queue regimes. Comput. Networks 51(18): 4919-4937 (2007) - [j14]Yung Yi, Sanjay Shakkottai:
Hop-by-hop congestion control over a wireless multi-hop network. IEEE/ACM Trans. Netw. 15(1): 133-144 (2007) - 2006
- [j13]Wei Wu, Ari Arapostathis, Sanjay Shakkottai:
Optimal power allocation for a time-varying wireless channel under heavy-traffic approximation. IEEE Trans. Autom. Control. 51(4): 580-594 (2006) - [j12]Chang-Woo Yang, Sanjay Shakkottai:
Asymptotic Evaluation of Delay in the SRPT Scheduler. IEEE Trans. Autom. Control. 51(11): 1848-1854 (2006) - [j11]Sandeep Bhadra, Sanjay Shakkottai, Piyush Gupta:
Min-Cost Selfish Multicast With Network Coding. IEEE Trans. Inf. Theory 52(11): 5077-5087 (2006) - [j10]Yung Yi, Supratim Deb, Sanjay Shakkottai:
Time-scale decomposition and equivalent rate-based marking. IEEE/ACM Trans. Netw. 14(5): 938-950 (2006) - 2005
- [j9]Sanjay Shakkottai, Rayadurgam Srikant, Ness B. Shroff:
Unreliable sensor grids: coverage, connectivity and diameter. Ad Hoc Networks 3(6): 702-716 (2005) - [j8]Supratim Deb, Sanjay Shakkottai, R. Srikant:
Asymptotic Behavior of Internet Congestion Controllers in a Many-Flows Regime. Math. Oper. Res. 30(2): 420-440 (2005) - [j7]Sanjay Shakkottai:
Asymptotics of search strategies over a sensor network. IEEE Trans. Autom. Control. 50(5): 594-606 (2005) - 2004
- [j6]Sanjay Shakkottai, R. Srikant:
Mean FDE Models for Internet Congestion Control Under a Many-Flows Regime. IEEE Trans. Inf. Theory 50(6): 1050-1072 (2004) - 2003
- [j5]Sanjay Shakkottai, Theodore S. Rappaport, Peter C. Karlsson:
Cross-layer design for wireless networks. IEEE Commun. Mag. 41(10): 74-80 (2003) - [j4]Sanjay Shakkottai, R. Srikant, Sean P. Meyn:
Bounds on the throughput of congestion controllers in the presence of feedback delay. IEEE/ACM Trans. Netw. 11(6): 972-981 (2003) - 2002
- [j3]Sanjay Shakkottai, R. Srikant:
Scheduling Real-Time Traffic With Deadlines over a Wireless Channel. Wirel. Networks 8(1): 13-26 (2002) - 2001
- [j2]Sanjay Shakkottai, R. Srikant:
Many-Sources Delay Asymptotics with Applications to Priority Queues. Queueing Syst. Theory Appl. 39(2/3): 183-200 (2001) - [j1]Sanjay Shakkottai, Anurag Kumar, Aditya Karnik, Ajit Anvekar:
TCP performance over end-to-end rate control and stochastic available capacity. IEEE/ACM Trans. Netw. 9(4): 377-391 (2001)
Conference and Workshop Papers
- 2024
- [c121]Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CVPR 2024: 9472-9481 - [c120]Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai:
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. ICML 2024 - 2023
- [c119]Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai:
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. COLT 2023: 89-160 - [c118]Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai:
InfoNCE Loss Provably Learns Cluster-Preserving Representations. COLT 2023: 1914-1961 - [c117]Jerry Gu, Liam Collins, Debashri Roy, Aryan Mokhtari, Sanjay Shakkottai, Kaushik R. Chowdhury:
Meta-Learning for Image-Guided Millimeter-Wave Beam Selection in Unseen Environments. ICASSP 2023: 1-5 - [c116]Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant:
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. ICML 2023: 4189-4217 - [c115]Advait U. Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai:
PAC Generalization via Invariant Representations. ICML 2023: 27378-27400 - [c114]Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. NeurIPS 2023 - [c113]Jiayi Chen, Nihal Sharma, Tarannum Khan, Shu Liu, Brian Chang, Aditya Akella, Sanjay Shakkottai, Ramesh K. Sitaraman:
Darwin: Flexible Learning-based CDN Caching. SIGCOMM 2023: 981-999 - [c112]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. SIGMETRICS (Abstracts) 2023: 67-68 - 2022
- [c111]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Improved Algorithms for Misspecified Linear Markov Decision Processes. AISTATS 2022: 4723-4746 - [c110]Sen Lin, Ming Shi, Anish Arora, Raef Bassily, Elisa Bertino, Constantine Caramanis, Kaushik R. Chowdhury, Eylem Ekici, Atilla Eryilmaz, Stratis Ioannidis, Nan Jiang, Gauri Joshi, Jim Kurose, Yingbin Liang, Zhiqiang Lin, Jia Liu, Mingyan Liu, Tommaso Melodia, Aryan Mokhtari, Rob Nowak, Sewoong Oh, Srini Parthasarathy, Chunyi Peng, Hulya Seferoglu, Ness B. Shroff, Sanjay Shakkottai, Kannan Srinivasan, Ameet Talwalkar, Aylin Yener, Lei Ying:
Leveraging Synergies Between AI and Networking to Build Next Generation Edge Networks. CIC 2022: 16-25 - [c109]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
How Does the Task Landscape Affect MAML Performance? CoLLAs 2022: 23-59 - [c108]Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. COLT 2022: 313-355 - [c107]Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai:
Asymptotically-Optimal Gaussian Bandits with Side Observations. ICML 2022: 1057-1077 - [c106]Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai:
MAML and ANIL Provably Learn Representations. ICML 2022: 4238-4310 - [c105]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. ICML 2022: 22203-22233 - [c104]Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi:
Linear Bandit Algorithms with Sublinear Time Complexity. ICML 2022: 25241-25260 - [c103]Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai:
Online learning for multi-agent based resource allocation in weakly coupled wireless systems. MobiHoc 2022: 111-120 - [c102]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. NeurIPS 2022 - [c101]Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. NeurIPS 2022 - [c100]Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant:
Minimax Regret for Cascading Bandits. NeurIPS 2022 - [c99]Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Learning To Maximize Welfare with a Reusable Resource. SIGMETRICS (Abstracts) 2022: 111-112 - [c98]Isfar Tariq, Kartik Patel, Thomas David Novlan, Salam Akoum, Milap Majmundar, Gustavo de Veciana, Sanjay Shakkottai:
Bandit Learning-based Online User Clustering and Selection for Cellular Networks. WiOpt 2022: 33-40 - 2021
- [c97]Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Contextual Blocking Bandits. AISTATS 2021: 271-279 - [c96]Negin Musavi, Dawei Sun, Sayan Mitra, Geir E. Dullerud, Sanjay Shakkottai:
HooVer: A Framework for Verification and Parameter Synthesis in Stochastic Systems using Optimistic Optimization. CCTA 2021: 923-930 - [c95]Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai:
Combinatorial Blocking Bandits with Stochastic Delays. ICML 2021: 404-413 - [c94]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
Exploiting Shared Representations for Personalized Federated Learning. ICML 2021: 2089-2099 - [c93]Yi Zhang, Soumya Basu, Sanjay Shakkottai, Robert W. Heath Jr.:
MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling. MobiHoc 2021: 151-160 - [c92]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Multi-Armed Bandits. MobiHoc 2021: 161-170 - [c91]Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai:
Job Dispatching Policies for Queueing Systems with Unknown Service Rates. MobiHoc 2021: 181-190 - [c90]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators. NeurIPS 2021: 21440-21452 - 2020
- [c89]Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. AISTATS 2020: 3471-3481 - [c88]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes. NeurIPS 2020 - [c87]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Task-Robust Model-Agnostic Meta-Learning. NeurIPS 2020 - [c86]Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai:
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. NeurIPS 2020 - [c85]Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath:
Applications of Common Entropy for Causal Inference. NeurIPS 2020 - [c84]Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
Social Learning in Multi Agent Multi Armed Bandits. SIGMETRICS (Abstracts) 2020: 29-30 - [c83]Jianhan Song, Gustavo de Veciana, Sanjay Shakkottai:
Meta-Scheduling for the Wireless Downlink through Learning with Bandit Feedback. WiOpt 2020: 361-367 - 2019
- [c82]Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai:
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach. AISTATS 2019: 2096-2105 - [c81]Soumya Basu, Steven Gutstein, Brent Lance, Sanjay Shakkottai:
Pareto Optimal Streaming Unsupervised Classification. ICML 2019: 505-514 - [c80]Isfar Tariq, Rajat Sen, Gustavo de Veciana, Sanjay Shakkottai:
Online Channel-state Clustering And Multiuser Capacity Learning For Wireless Scheduling. INFOCOM 2019: 136-144 - [c79]Soumya Basu, Sanjay Shakkottai:
Switching Constrained Max-Weight Scheduling for Wireless Networks. INFOCOM 2019: 2314-2322 - [c78]Yi Zhang, Kartik Patel, Sanjay Shakkottai, Robert W. Heath Jr.:
Side-information-aided Noncoherent Beam Alignment Design for Millimeter Wave Systems. MobiHoc 2019: 341-350 - [c77]Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai:
Blocking Bandits. NeurIPS 2019: 4785-4794 - [c76]Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson:
Importance Weighted Generative Networks. ECML/PKDD (2) 2019: 249-265 - 2018
- [c75]Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai:
Contextual Bandits with Stochastic Experts. AISTATS 2018: 852-861 - [c74]Subhashini Krishnasamy, Ari Arapostathis, Ramesh Johari, Sanjay Shakkottai:
On Learning the cμ Rule in Single and Parallel Server Networks. Allerton 2018: 153-154 - [c73]Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai:
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions. ICML 2018: 4545-4554 - [c72]Arjun Anand, Gustavo de Veciana, Sanjay Shakkottai:
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks. INFOCOM 2018: 1970-1978 - 2017
- [c71]Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai:
Contextual Bandits with Latent Confounders: An NMF Approach. AISTATS 2017: 518-527 - [c70]Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai:
Identifying Best Interventions through Online Importance Sampling. ICML 2017: 3057-3066 - [c69]Subhashini Krishnasamy, P. T. Akhil, Ari Arapostathis, Sanjay Shakkottai, Rajesh Sundaresan:
Augmenting max-weight with explicit learning for wireless scheduling with switching costs. INFOCOM 2017: 1-9 - [c68]Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai:
Model-Powered Conditional Independence Test. NIPS 2017: 2951-2961 - [c67]Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman:
Adaptive TTL-Based Caching for Content Delivery. SIGMETRICS (Abstracts) 2017: 45-46 - 2016
- [c66]Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai:
Regret of Queueing Bandits. NIPS 2016: 1669-1677 - [c65]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Searching For A Single Community in a Graph. SIGMETRICS 2016: 399-400 - 2015
- [c64]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Local detection of infections in heterogeneous networks. INFOCOM 2015: 1517-1525 - [c63]Javad Ghaderi, Sanjay Shakkottai, Rayadurgam Srikant:
Scheduling Storms and Streams in the Cloud. SIGMETRICS 2015: 439-440 - [c62]Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda:
Localized Epidemic Detection in Networks with Overwhelming Noise. SIGMETRICS 2015: 441-442 - [c61]Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai:
Detecting Sponsored Recommendations. SIGMETRICS 2015: 445-446 - [c60]Subhashini Krishnasamy, Sanjay Shakkottai:
Spectrum sharing and scheduling in D2D-enabled dense cellular networks. WiOpt 2015: 307-314 - 2014
- [c59]Avik Ray, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai:
Overlap graph clustering via successive removal. Allerton 2014: 278-285 - [c58]Sharayu Moharir, Subhashini Krishnasamy, Sanjay Shakkottai:
Scheduling in densified networks: Algorithms and performance. Allerton 2014: 683-690 - [c57]Neelesh B. Mehta, Ramachandran Ramjee, Sanjay Shakkottai:
Message from TPC chairs. COMSNETS 2014: 1 - [c56]Siddhartha Banerjee, Avhishek Chatterjee, Sanjay Shakkottai:
Epidemic thresholds with external agents. INFOCOM 2014: 2202-2210 - [c55]Subhashini Krishnasamy, Siddhartha Banerjee, Sanjay Shakkottai:
The behavior of epidemics under bounded susceptibility. SIGMETRICS 2014: 263-275 - [c54]Sharayu Moharir, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai:
Serving content with unknown demand: the high-dimensional regime. SIGMETRICS 2014: 435-447 - [c53]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Topic modeling from network spread. SIGMETRICS 2014: 561-562 - 2013
- [c52]Sharayu Moharir, Sanjay Shakkottai:
MaxWeight vs. BackPressure: Routing and scheduling in multi-channel relay networks. INFOCOM 2013: 1537-1545 - [c51]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Detecting epidemics using highly noisy data. MobiHoc 2013: 177-186 - [c50]Sharayu Moharir, Sujay Sanghavi, Sanjay Shakkottai:
Online load balancing under graph constraints. SIGMETRICS 2013: 363-364 - 2012
- [c49]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
On identifying the causative network of an epidemic. Allerton Conference 2012: 909-914 - [c48]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Greedy learning of graphical models with small girth. Allerton Conference 2012: 2024-2031 - [c47]François Baccelli, Nilesh Khude, Rajiv Laroia, Junyi Li, Tom Richardson, Sanjay Shakkottai, Saurabha Tavildar, Xinzhou Wu:
On the design of device-to-device autonomous discovery. COMSNETS 2012: 1-9 - [c46]Aneesh Reddy, Sujay Sanghavi, Sanjay Shakkottai:
On the effect of channel fading on greedy scheduling. INFOCOM 2012: 406-414 - [c45]Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai:
Low-delay wireless scheduling with partial channel-state information. INFOCOM 2012: 1071-1079 - [c44]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Network forensics: random infection vs spreading epidemic. SIGMETRICS 2012: 223-234 - 2011
- [c43]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
Sharing multiple messages over mobile networks. INFOCOM 2011: 658-666 - [c42]Aditya Gopalan, Siddhartha Banerjee, Abhik Kumar Das, Sanjay Shakkottai:
Random mobility and the spread of infection. INFOCOM 2011: 999-1007 - [c41]Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant:
Scheduling for small delay in multi-rate multi-channel wireless networks. INFOCOM 2011: 1251-1259 - [c40]Yi-Ting Chen, Constantine Caramanis, Sanjay Shakkottai:
On file sharing over a wireless social network. ISIT 2011: 249-253 - [c39]Siddhartha Banerjee, Piyush Gupta, Sanjay Shakkottai:
Towards a queueing-based framework for in-network function computation. ISIT 2011: 2542-2546 - [c38]François Baccelli, Junyi Li, Thomas J. Richardson, Sundar Subramanian, Xinzhou Wu, Sanjay Shakkottai:
On optimizing CSMA for wide area ad-hoc networks. WiOpt 2011: 354-359 - 2010
- [c37]Xinzhou Wu, Saurabha Tavildar, Sanjay Shakkottai, Tom Richardson, Junyi Li, Rajiv Laroia, Aleksandar Jovicic:
FlashLinQ: A synchronous distributed scheduler for peer-to-peer ad hoc networks. Allerton 2010: 514-521 - [c36]Praneeth Netrapalli, Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai:
Greedy learning of Markov network structure. Allerton 2010: 1295-1302 - [c35]Akula Aneesh Reddy, Siddhartha Banerjee, Aditya Gopalan, Sanjay Shakkottai, Lei Ying:
Wireless scheduling with heterogeneously delayed network-state information. Allerton 2010: 1577-1584 - [c34]Jung Ryu, Lei Ying, Sanjay Shakkottai:
Back-Pressure Routing for Intermittently Connected Networks. INFOCOM 2010: 306-310 - [c33]Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant:
Low-complexity Scheduling Algorithms for Multi-channel Downlink Wireless Networks. INFOCOM 2010: 2222-2230 - [c32]V. J. Venkataramanan, Xiaojun Lin, Lei Ying, Sanjay Shakkottai:
On Scheduling for Minimizing End-to-End Buffer Usage over Multihop Wireless Networks. INFOCOM 2010: 2847-2855 - [c31]Jung Ryu, Vidur Bhargava, Nick Paine, Sanjay Shakkottai:
Back-pressure routing and rate control for ICNs. MobiCom 2010: 365-376 - 2009
- [c30]Jung Ryu, Sandeep Bhadra, Sanjay Shakkottai:
TCP with feed-forward source coding for wireless downlink networks. Allerton 2009: 1307-1314 - [c29]Lei Ying, Sanjay Shakkottai, Aneesh Reddy:
On Combining Shortest-Path and Back-Pressure Routing Over Multihop Wireless Networks. INFOCOM 2009: 1674-1682 - [c28]Chris Milling, Sundar Subramanian, Sanjay Shakkottai, Randall Berry:
Routing Over Multi-Hop Wireless Networks with Non-Ergodic Mobility. INFOCOM 2009: 2079-2087 - [c27]Lei Ying, Sanjay Shakkottai:
Scheduling in Mobile Ad Hoc Networks with Topology and Channel-State Uncertainty. INFOCOM 2009: 2347-2355 - [c26]Shreeshankar Bodas, Sanjay Shakkottai, Lei Ying, R. Srikant:
Scheduling in multi-channel wireless networks: rate function optimality in the small-buffer regime. SIGMETRICS/Performance 2009: 121-132 - 2008
- [c25]Aneesh Reddy, Sanjay Shakkottai, Lei Ying:
Distributed power control in wireless ad hoc networks using message passing: Throughput optimality and network utility maximization. CISS 2008: 770-775 - [c24]Sundar Subramanian, Sanjay Shakkottai, Piyush Gupta:
Optimal Geographic Routing for Wireless Networks with Near-Arbitrary Holes and Traffic. INFOCOM 2008: 1328-1336 - 2007
- [c23]Chang-Woo Yang, Sanjay Shakkottai:
Balancing performance and fairness using finite-SRPT. CDC 2007: 5863-5869 - [c22]Yung Yi, Gustavo de Veciana, Sanjay Shakkottai:
On Optimal MAC Scheduling With Physical Interference. INFOCOM 2007: 294-302 - [c21]Sundar Subramanian, Sanjay Shakkottai, Piyush Gupta:
On Optimal Geographic Routing in Wireless Networks with Holes and Non-Uniform Traffic. INFOCOM 2007: 1019-1027 - [c20]Devavrat Shah, Sanjay Shakkottai:
Oblivious Routing with Mobile Fusion Centers over a Sensor Network. INFOCOM 2007: 1541-1549 - [c19]Sundar Subramanian, Piyush Gupta, Sanjay Shakkottai:
Scaling Bounds for Function Computation over Large Networks. ISIT 2007: 136-140 - 2006
- [c18]Supratim Deb, Devavrat Shah, Sanjay Shakkottai:
Fast Matching Algorithms for Repetitive Optimization: An Application to Switch Scheduling. CISS 2006: 1266-1271 - [c17]Sandeep Bhadra, Sanjay Shakkottai:
Looking at Large Networks: Coding vs. Queueing. INFOCOM 2006 - [c16]Sundar Subramanian, Sanjay Shakkottai, Ari Arapostathis:
Broadcasting in Sensor Networks: The Role of Local Information. INFOCOM 2006 - [c15]Sandeep Bhadra, Piyush Gupta, Sanjay Shakkottai:
On Network Coding for Interference Networks. ISIT 2006: 207-211 - [c14]Chang-Woo Yang, Adam Wierman, Sanjay Shakkottai, Mor Harchol-Balter:
Tail asymptotics for policies favoring short jobs in a many-flows regime. SIGMETRICS/Performance 2006: 97-108 - [c13]Manish Airy, Sandeep Bhadra, Robert W. Heath Jr., Sanjay Shakkottai:
Transmit Precoding for the Multiple Antenna Broadcast Channel. VTC Spring 2006: 1396-1400 - 2005
- [c12]Sundar Subramanian, Sanjay Shakkottai:
Geographic routing with limited information in sensor networks. IPSN 2005: 269-276 - 2004
- [c11]Chang-Woo Yang, Sanjay Shakkottai:
Delay asymptotics of the SRPT scheduler. CDC 2004: 2774-2779 - [c10]Manish Airy, Antonio Forenza, Robert W. Heath Jr., Sanjay Shakkottai:
Practical Costa precoding for the multiple antenna broadcast channel. GLOBECOM 2004: 3942-3946 - [c9]Sanjay Shakkottai:
Asymptotics of Query Strategies over a Sensor Network. INFOCOM 2004 - [c8]Yung Yi, Sanjay Shakkottai:
Hop-by-hop Congestion Control over a Wireless Multi-hop Network. INFOCOM 2004: 2548-2558 - 2003
- [c7]Supratim Deb, Sanjay Shakkottai, R. Srikant:
Stability and Convergence of TCP-like Congestion Controllers in a Many-Flows Regime. INFOCOM 2003: 884-894 - [c6]Sanjay Shakkottai, R. Srikant, Ness B. Shroff:
Unreliable Sensor Grids: Coverage, Connectivity and Diameter. INFOCOM 2003: 1073-1083 - 2002
- [c5]Sanjay Shakkottai, Rayadurgam Srikant:
How Good are Deterministic Fluid Models of Internet Congestion Control? INFOCOM 2002: 497-505 - 2001
- [c4]Sanjay Shakkottai, Rayadurgam Srikant, Sean P. Meyn:
Boundedness of utility function based congestion controllers in the presence of delay. CDC 2001: 616-621 - [c3]Sanjay Shakkottai, R. Srikant:
Deterministic fluid models of congestion control in high-speed networks. WSC 2001: 1275-1281 - 2000
- [c2]Sanjay Shakkottai, R. Srikant:
Delay asymptotics for a priority queueing system. SIGMETRICS 2000: 188-195 - 1999
- [c1]Sanjay Shakkottai, R. Srikant:
Scheduling Real-Time Traffic with Deadlines over a Wireless Channel. WOWMOM 1999: 35-42
Editorship
- 2014
- [e2]Sujay Sanghavi, Sanjay Shakkottai, Marc Lelarge, Bianca Schroeder:
ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2014, Austin, TX, USA, June 16-20, 2014. ACM 2014, ISBN 978-1-4503-2789-3 [contents] - 2012
- [e1]Asis Nasipuri, Yih-Chun Hu, Sanjay Shakkottai:
The Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc '12, Hilton Head, SC, USA, June 11-14, 2012. ACM 2012, ISBN 978-1-4503-1281-3 [contents]
Informal and Other Publications
- 2024
- [i75]Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai:
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness. CoRR abs/2402.11639 (2024) - [i74]Litu Rout, Yujia Chen, Nataniel Ruiz, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control. CoRR abs/2405.17401 (2024) - 2023
- [i73]Litu Rout, Advait Parulekar, Constantine Caramanis, Sanjay Shakkottai:
A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2302.01217 (2023) - [i72]Matthew Faw, Litu Rout, Constantine Caramanis, Sanjay Shakkottai:
Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD. CoRR abs/2302.06570 (2023) - [i71]Advait Parulekar, Liam Collins, Karthikeyan Shanmugam, Aryan Mokhtari, Sanjay Shakkottai:
InfoNCE Loss Provably Learns Cluster-Preserving Representations. CoRR abs/2302.07920 (2023) - [i70]Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant:
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits. CoRR abs/2305.18784 (2023) - [i69]Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alexandros G. Dimakis, Sanjay Shakkottai:
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. CoRR abs/2307.00619 (2023) - [i68]Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi, Aryan Mokhtari, Sanjay Shakkottai:
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks. CoRR abs/2307.06887 (2023) - [i67]Litu Rout, Yujia Chen, Abhishek Kumar, Constantine Caramanis, Sanjay Shakkottai, Wen-Sheng Chu:
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion. CoRR abs/2312.00852 (2023) - 2022
- [i66]Liam Collins, Aryan Mokhtari, Sewoong Oh, Sanjay Shakkottai:
MAML and ANIL Provably Learn Representations. CoRR abs/2202.03483 (2022) - [i65]Matthew Faw, Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari, Sanjay Shakkottai, Rachel A. Ward:
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance. CoRR abs/2202.05791 (2022) - [i64]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Bandits Over Undirected Graphs. CoRR abs/2203.00076 (2022) - [i63]Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant:
Minimax Regret for Cascading Bandits. CoRR abs/2203.12577 (2022) - [i62]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning. CoRR abs/2205.13692 (2022) - [i61]Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret. CoRR abs/2205.14790 (2022) - [i60]Advait Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai:
PAC Generalization via Invariant Representations. CoRR abs/2205.15196 (2022) - [i59]Dawei Sun, Negin Musavi, Geir E. Dullerud, Sanjay Shakkottai, Sayan Mitra:
Learning Certifiably Robust Controllers Using Fragile Perception. CoRR abs/2209.11328 (2022) - 2021
- [i58]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants. CoRR abs/2102.01567 (2021) - [i57]Liam Collins, Hamed Hassani, Aryan Mokhtari, Sanjay Shakkottai:
Exploiting Shared Representations for Personalized Federated Learning. CoRR abs/2102.07078 (2021) - [i56]Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi:
Linear Bandit Algorithms with Sublinear Time Complexity. CoRR abs/2103.02729 (2021) - [i55]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation. CoRR abs/2105.01593 (2021) - [i54]Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai:
Combinatorial Blocking Bandits with Stochastic Delays. CoRR abs/2105.10625 (2021) - [i53]Tuhinangshu Choudhury, Gauri Joshi, Weina Wang, Sanjay Shakkottai:
Job Dispatching Policies for Queueing Systems with Unknown Service Rates. CoRR abs/2106.04707 (2021) - [i52]Steven Gutstein, Brent Lance, Sanjay Shakkottai:
Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task? CoRR abs/2106.11174 (2021) - [i51]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators. CoRR abs/2106.12729 (2021) - [i50]Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai:
Episodic Bandits with Stochastic Experts. CoRR abs/2107.03263 (2021) - [i49]Daniel Vial, Advait Parulekar, Sanjay Shakkottai, R. Srikant:
Improved Algorithms for Misspecified Linear Markov Decision Processes. CoRR abs/2109.05546 (2021) - 2020
- [i48]Ronshee Chawla, Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits. CoRR abs/2001.05452 (2020) - [i47]Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam:
Finite-Sample Analysis of Stochastic Approximation Using Smooth Convex Envelopes. CoRR abs/2002.00874 (2020) - [i46]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Distribution-Agnostic Model-Agnostic Meta-Learning. CoRR abs/2002.04766 (2020) - [i45]Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai:
Warm Starting Bandits with Side Information from Confounded Data. CoRR abs/2002.08405 (2020) - [i44]Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai:
Contextual Blocking Bandits. CoRR abs/2003.03426 (2020) - [i43]Ronshee Chawla, Abishek Sankararaman, Sanjay Shakkottai:
Multi-Agent Low-Dimensional Linear Bandits. CoRR abs/2007.01442 (2020) - [i42]Daniel Vial, Sanjay Shakkottai, R. Srikant:
Robust Multi-Agent Multi-Armed Bandits. CoRR abs/2007.03812 (2020) - [i41]Arghyadip Roy, Sanjay Shakkottai, R. Srikant:
Hellinger KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings. CoRR abs/2009.06606 (2020) - [i40]Liam Collins, Aryan Mokhtari, Sanjay Shakkottai:
Why Does MAML Outperform ERM? An Optimization Perspective. CoRR abs/2010.14672 (2020) - [i39]Advait Parulekar, Soumya Basu, Aditya Gopalan, Karthikeyan Shanmugam, Sanjay Shakkottai:
Stochastic Linear Bandits with Protected Subspace. CoRR abs/2011.01016 (2020) - [i38]Daniel Vial, Sanjay Shakkottai, R. Srikant:
One-bit feedback is sufficient for upper confidence bound policies. CoRR abs/2012.02876 (2020) - 2019
- [i37]Matthew Faw, Rajat Sen, Karthikeyan Shanmugam, Constantine Caramanis, Sanjay Shakkottai:
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions. CoRR abs/1907.10154 (2019) - [i36]Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai:
Blocking Bandits. CoRR abs/1907.11975 (2019) - [i35]Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
Social Learning in Multi Agent Multi Armed Bandits. CoRR abs/1910.02100 (2019) - [i34]Negin Musavi, Dawei Sun, Sayan Mitra, Geir E. Dullerud, Sanjay Shakkottai:
Optimistic Optimization for Statistical Model Checking with Regret Bounds. CoRR abs/1911.01537 (2019) - 2018
- [i33]Subhashini Krishnasamy, Ari Arapostathis, Ramesh Johari, Sanjay Shakkottai:
On Learning the cμ Rule: Single and Multiserver Settings. CoRR abs/1802.06723 (2018) - [i32]Rajat Sen, Karthikeyan Shanmugam, Sanjay Shakkottai:
Contextual Bandits with Stochastic Experts. CoRR abs/1802.08737 (2018) - [i31]Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai, Mohit Tiwari:
The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations. CoRR abs/1803.00883 (2018) - [i30]Maurice Diesendruck, Ethan R. Elenberg, Rajat Sen, Guy W. Cole, Sanjay Shakkottai, Sinead A. Williamson:
Importance weighted generative networks. CoRR abs/1806.02512 (2018) - [i29]Avik Ray, Sujay Sanghavi, Sanjay Shakkottai:
Searching for a Single Community in a Graph. CoRR abs/1806.07944 (2018) - [i28]Murat Kocaoglu, Sanjay Shakkottai, Alexandros G. Dimakis, Constantine Caramanis, Sriram Vishwanath:
Entropic Latent Variable Discovery. CoRR abs/1807.10399 (2018) - [i27]Subhashini Krishnasamy, P. T. Akhil, Ari Arapostathis, Rajesh Sundaresan, Sanjay Shakkottai:
Augmenting Max-Weight with Explicit Learning for Wireless Scheduling with Switching Costs. CoRR abs/1808.01618 (2018) - [i26]Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai:
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach. CoRR abs/1810.10482 (2018) - 2017
- [i25]Rajat Sen, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai:
Causal Best Intervention Identification via Importance Sampling. CoRR abs/1701.02789 (2017) - [i24]Soumya Basu, Aditya Sundarrajan, Javad Ghaderi, Sanjay Shakkottai, Ramesh K. Sitaraman:
Adaptive TTL-Based Caching for Content Delivery. CoRR abs/1704.04448 (2017) - [i23]Mikhail Kazdagli, Constantine Caramanis, Sanjay Shakkottai, Mohit Tiwari:
Exploiting Latent Attack Semantics for Intelligent Malware Detection. CoRR abs/1708.01864 (2017) - [i22]Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam, Alexandros G. Dimakis, Sanjay Shakkottai:
Model-Powered Conditional Independence Test. CoRR abs/1709.06138 (2017) - [i21]Arjun Anand, Gustavo de Veciana, Sanjay Shakkottai:
Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks. CoRR abs/1712.05344 (2017) - 2016
- [i20]Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai:
Regret of Queueing Bandits. CoRR abs/1604.06377 (2016) - [i19]Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai:
Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach. CoRR abs/1606.00119 (2016) - [i18]Avik Ray, Joe Neeman, Sujay Sanghavi, Sanjay Shakkottai:
The Search Problem in Mixture Models. CoRR abs/1610.00843 (2016) - 2015
- [i17]Subhashini Krishnasamy, Siddhartha Banerjee, Sanjay Shakkottai:
The Behavior of Epidemics under Bounded Susceptibility. CoRR abs/1502.05096 (2015) - [i16]Javad Ghaderi, Sanjay Shakkottai, R. Srikant:
Scheduling Storms and Streams in the Cloud. CoRR abs/1502.05968 (2015) - [i15]Subhashini Krishnasamy, Rajat Sen, Sewoong Oh, Sanjay Shakkottai:
Detecting Sponsored Recommendations. CoRR abs/1504.03713 (2015) - 2014
- [i14]Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai:
Localized epidemic detection in networks with overwhelming noise. CoRR abs/1402.1263 (2014) - [i13]Aditya Gopalan, Constantine Caramanis, Sanjay Shakkottai:
Wireless Scheduling with Partial Channel State Information: Large Deviations and Optimality. CoRR abs/1405.6307 (2014) - [i12]Siddhartha Banerjee, Sujay Sanghavi, Sanjay Shakkottai:
Online Collaborative-Filtering on Graphs. CoRR abs/1411.2057 (2014) - [i11]Sharayu Moharir, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai:
Serving Content with Unknown Demand: the High-Dimensional Regime. CoRR abs/1412.6463 (2014) - 2013
- [i10]Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai:
Distinguishing Infections on Different Graph Topologies. CoRR abs/1309.6545 (2013) - [i9]Siddhartha Banerjee, Avhishek Chatterjee, Sanjay Shakkottai:
Epidemic Thresholds with External Agents. CoRR abs/1312.0938 (2013) - 2012
- [i8]Aneesh Reddy, Sujay Sanghavi, Sanjay Shakkottai:
On the Effect of Channel Fading on Greedy Scheduling. CoRR abs/1203.1997 (2012) - [i7]Yuxin Chen, Sanjay Shakkottai, Jeffrey G. Andrews:
On the Role of Mobility for Multi-message Gossip. CoRR abs/1204.3114 (2012) - [i6]Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai:
Epidemic Spreading with External Agents. CoRR abs/1206.3599 (2012) - 2011
- [i5]Yi-Ting Chen, Constantine Caramanis, Sanjay Shakkottai:
On Sharing Viral Video over an Ad Hoc Wireless Network. CoRR abs/1101.5088 (2011) - [i4]Siddhartha Banerjee, Piyush Gupta, Sanjay Shakkottai:
Towards a Queueing-Based Framework for In-Network Function Computation. CoRR abs/1105.5651 (2011) - 2008
- [i3]Sandeep Bhadra, Shreeshankar Bodas, Sanjay Shakkottai, Sriram Vishwanath:
Communication Through Jamming over a Slotted ALOHA Channel. CoRR abs/0808.0558 (2008) - 2007
- [i2]Jeffrey G. Andrews, Nihar Jindal, Martin Haenggi, Randall Berry, Syed Ali Jafar, Dongning Guo, Sanjay Shakkottai, Robert W. Heath Jr., Michael J. Neely, Steven Weber, Aylin Yener:
Rethinking Information Theory for Mobile Ad Hoc Networks. CoRR abs/0712.2467 (2007) - 2004
- [i1]Sundar Subramanian, Sanjay Shakkottai:
Geographic Routing with Limited Information in Sensor Networks. CoRR cs.IT/0411073 (2004)
Coauthor Index
Alexandros G. Dimakis
aka: Alex Dimakis
aka: Alex Dimakis
Advait Parulekar
aka: Advait U. Parulekar
aka: Advait U. Parulekar
R. Srikant 0001
aka: Rayadurgam Srikant
aka: Rayadurgam Srikant
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:24 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
