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Ankur A. Kulkarni
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2020 – today
- 2024
- [j23]Anuj S. Vora, Ankur A. Kulkarni:
Shannon meets Myerson: Information extraction from a strategic sender. Math. Soc. Sci. 131: 48-66 (2024) - [c31]Manish Kumar Singh, Ankur A. Kulkarni:
Optimal Stochastic Decision Rule for Strategic Classification. NCC 2024: 1-6 - [i35]Apurva Dhingra, Ankur A. Kulkarni:
Revisiting Common Randomness, No-signaling and Information Structure in Decentralized Control. CoRR abs/2402.16862 (2024) - [i34]Reema Deori, Ankur A. Kulkarni:
Informativeness and Trust in Bayesian Persuasion. CoRR abs/2408.13822 (2024) - 2023
- [c30]Anuj S. Vora, Ankur A. Kulkarni:
Fraud Detection and Deterrence in Electronic Voting Machines: A Game-Theoretic Approach. CDC 2023: 3832-3837 - [c29]Shashank A. Deshpande, Ankur A. Kulkarni:
Beyond Common Randomness: Quantum Resources in Decentralized Control. CDC 2023: 5906-5911 - [c28]Gauri Garg, Harshad Khadilkar, Ankur A. Kulkarni, Aditya A. Paranjape:
Classifier Design for Decentralised Sensing with Digital Communication. CDC 2023: 8432-8437 - [c27]Reema Deori, Ankur A. Kulkarni:
Zero-Error Communication with an Influencer. NCC 2023: 1-6 - [i33]René Aïd, Anupama Kowli, Ankur A. Kulkarni:
Signalling for Electricity Demand Response: When is Truth Telling Optimal? CoRR abs/2302.12770 (2023) - [i32]Shashank A. Deshpande, Ankur A. Kulkarni:
The Quantum Advantage in Binary Teams and the Coordination Dilemma: Part I. CoRR abs/2307.01762 (2023) - [i31]Shashank A. Deshpande, Ankur A. Kulkarni:
The Quantum Advantage in Binary Teams and the Coordination Dilemma: Part II. CoRR abs/2307.01766 (2023) - [i30]Anuj S. Vora, Ankur A. Kulkarni:
Achievable Rates for Information Extraction from a Strategic Sender. CoRR abs/2307.02644 (2023) - 2022
- [j22]Reema Deori, Ankur A. Kulkarni:
Information revelation through signalling. Syst. Control. Lett. 169: 105378 (2022) - [i29]Reema Deori, Ankur A. Kulkarni:
Information Revelation Through Signalling. CoRR abs/2202.10145 (2022) - [i28]Shraddha Pathak, Ankur A. Kulkarni:
A Scalable Bayesian Persuasion Framework for Epidemic Containment on Heterogeneous Networks. CoRR abs/2207.11578 (2022) - [i27]Shashank A. Deshpande, Ankur A. Kulkarni:
The Quantum Advantage in Decentralized Control. CoRR abs/2207.12075 (2022) - 2021
- [j21]Karan N. Chadha, Ankur A. Kulkarni, Jayakrishnan Nair:
Efficiency fairness tradeoff in battery sharing. Oper. Res. Lett. 49(3): 377-384 (2021) - [j20]Anuj S. Vora, Ankur A. Kulkarni:
Minimax Theorems for Finite Blocklength Lossy Joint Source-Channel Coding over an Arbitrarily Varying Channel. Probl. Inf. Transm. 57(2): 99-128 (2021) - [c26]Anuj S. Vora, Ankur A. Kulkarni:
Optimal Questionnaires for Screening of Strategic Agents. ICASSP 2021: 8173-8177 - 2020
- [j19]Mathew P. Abraham, Ankur A. Kulkarni:
Price-coupling games and the generation expansion planning problem. Ann. Oper. Res. 295(1): 1-19 (2020) - [j18]Ankur A. Kulkarni:
Near Optimality of Linear Strategies for Static Teams With "Big" Non-Gaussian Noise. IEEE Trans. Autom. Control. 65(2): 534-545 (2020) - [j17]Sharu Theresa Jose, Ankur A. Kulkarni:
Shannon Meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer. IEEE Trans. Inf. Theory 66(5): 2842-2859 (2020) - [j16]Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar:
Strategy-Proof Spectrum Allocation Among Multiple Operators in Wireless Networks. IEEE Trans. Veh. Technol. 69(12): 15964-15977 (2020) - [c25]Anuj S. Vora, Ankur A. Kulkarni:
Information Extraction from a Strategic Sender over a Noisy Channel. CDC 2020: 354-359 - [c24]Anuj S. Vora, Ankur A. Kulkarni:
Achievable Rates for Strategic Communication. ISIT 2020: 1379-1384 - [c23]Anuj S. Vora, Ankur A. Kulkarni:
Communicating with a Strategic Sender. NCC 2020: 1-6 - [c22]Anuj S. Vora, Ankur A. Kulkarni:
Zero Error Strategic Communication. SPCOM 2020: 1-5 - [i26]Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar:
Strategy-Proof Spectrum Allocation among Multiple Operators for Demand Varying Wireless Networks. CoRR abs/2001.07003 (2020) - [i25]Mansi Sood, Ankur A. Kulkarni, Sharayu Moharir:
Duopolistic platform competition for revenue and throughput. CoRR abs/2001.11529 (2020) - [i24]Anuj S. Vora, Ankur A. Kulkarni:
Information Extraction from a Strategic Sender: The Zero Error Case. CoRR abs/2006.10641 (2020) - [i23]Anuj S. Vora, Ankur A. Kulkarni:
Optimal Questionnaires for Screening of Strategic Agents. CoRR abs/2010.15008 (2020)
2010 – 2019
- 2019
- [j15]Mathew P. Abraham, Ankur A. Kulkarni:
New results on the existence of open loop Nash equilibria in discrete time dynamic games via generalized Nash games. Math. Methods Oper. Res. 89(2): 157-172 (2019) - [j14]Sharu Theresa Jose, Ankur A. Kulkarni:
Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming. IEEE Trans. Inf. Theory 65(4): 2423-2441 (2019) - [c21]Anuj Vora, Ankur A. Kulkarni:
A Minimax Theorem for Finite Blocklength Joint Source-Channel Coding over an AVC. NCC 2019: 1-6 - [c20]Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar:
Strategy-Proof Spectrum Allocation among Multiple Operators. WCNC 2019: 1-6 - [i22]Mathew P. Abraham, Ankur A. Kulkarni:
Price-Coupling Games and the Generation Expansion Planning Problem. CoRR abs/1901.01927 (2019) - [i21]Vivek Deulkar, Jayakrishnan Nair, Ankur A. Kulkarni:
Sizing Storage for Reliable Renewable Integration: A Large Deviations Approach. CoRR abs/1904.04771 (2019) - [i20]Karan N. Chadha, Ankur A. Kulkarni:
Aggregate Play and Welfare in Strategic Interactions on Networks. CoRR abs/1906.07630 (2019) - [i19]Anuj S. Vora, Ankur A. Kulkarni:
Minimax Theorems for Finite Blocklength Lossy Joint Source-Channel Coding over an AVC. CoRR abs/1907.05324 (2019) - [i18]Karan N. Chadha, Ankur A. Kulkarni, Jayakrishnan Nair:
Efficiency Fairness Tradeoff in Battery Sharing. CoRR abs/1908.00699 (2019) - [i17]Ankur A. Kulkarni:
The Efficiency of Generalized Nash and Variational Equilibria. CoRR abs/1908.00702 (2019) - [i16]Vivek Deulkar, Jayakrishnan Nair, Ankur A. Kulkarni:
Statistical Economies of Scale in Battery Sharing. CoRR abs/1912.00462 (2019) - 2018
- [j13]Parthe Pandit, Ankur A. Kulkarni:
A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs. Discret. Appl. Math. 244: 155-169 (2018) - [j12]Mathew P. Abraham, Ankur A. Kulkarni:
An Approach Based on Generalized Nash Games and Shared Constraints for Discrete Time Dynamic Games. Dyn. Games Appl. 8(4): 641-670 (2018) - [j11]Ankur A. Kulkarni:
Local and Networked Mean-square Estimation with High Dimensional Log-concave Noise. IEEE Trans. Inf. Theory 64(4): 2759-2773 (2018) - [c19]Sharu Theresa Jose, Ankur A. Kulkarni:
On a Game Between a Delay-Constrained Communication System and a Finite State Jammer. CDC 2018: 5063-5068 - [c18]Mansi Sood, Sharayu Moharir, Ankur A. Kulkarni:
Pricing and Commission in Two-Sided Markets with Free Upgrades. COMSNETS (Extended Selected Papers) 2018: 172-195 - [c17]Mansi Sood, Sharayu Moharir, Ankur A. Kulkarni:
Pricing in two-sided markets in the presence of free upgrades. COMSNETS 2018: 259-266 - [c16]Ankur A. Kulkarni, Sharu Theresa Jose:
Linear Programming Based Finite Blocklength Converses in Information Theory. ITA 2018: 1-10 - [c15]Mansi Sood, Ankur A. Kulkarni, Sharayu Moharir:
Platform Competition for Throughput in Two-sided Freelance Markets. SPCOM 2018: 227-231 - [c14]Sharu Theresa Jose, Ankur A. Kulkarni:
New Finite Blocklength Converses for Asymmetric Multiple Access Channels via Linear Programming. SPCOM 2018: 447-451 - [i15]Sharu Theresa Jose, Ankur A. Kulkarni:
Improved Finite Blocklength Converses for Slepian-Wolf Coding via Linear Programming. CoRR abs/1801.08693 (2018) - [i14]Sharu Theresa Jose, Ankur A. Kulkarni:
Shannon meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer. CoRR abs/1811.07358 (2018) - [i13]Karan N. Chadha, Ankur A. Kulkarni:
On Independent Cliques and Linear Complementarity Problems. CoRR abs/1811.09798 (2018) - [i12]Indu Yadav, Ankur A. Kulkarni, Abhay Karandikar:
Strategy-Proof Spectrum Allocation among Multiple Operators. CoRR abs/1812.00192 (2018) - 2017
- [j10]Sharu Theresa Jose, Ankur A. Kulkarni:
Linear Programming-Based Converses for Finite Blocklength Lossy Joint Source-Channel Coding. IEEE Trans. Inf. Theory 63(11): 7066-7094 (2017) - [c13]Sharu Theresa Jose, Ankur A. Kulkarni:
Linear programming based finite blocklength converses for some network-like problems. ITW 2017: 544-548 - [c12]Sharu Theresa Jose, Ankur A. Kulkarni:
A linear programming based channel coding strong converse for the BSC and BEC. NCC 2017: 1-6 - [c11]Parthe Pandit, Ankur A. Kulkarni:
Non-constructive lower bounds for binary asymmetric error correcting codes. NCC 2017: 1-6 - 2016
- [j9]Daniel Cullina, Negar Kiyavash, Ankur A. Kulkarni:
Restricted Composition Deletion Correcting Codes. IEEE Trans. Inf. Theory 62(9): 4819-4832 (2016) - [c10]Ankur A. Kulkarni:
Mean-square estimation with high dimensional log-concave noise. CDC 2016: 2029-2034 - [i11]Ankur A. Kulkarni:
Near-Optimality of Linear Strategies for Static Teams with 'Big' Non-Gaussian Noise. CoRR abs/1603.03160 (2016) - [i10]Parthe Pandit, Ankur A. Kulkarni:
A linear complementarity based characterization of the weighted independence number and the independent domination number in graphs. CoRR abs/1603.05075 (2016) - [i9]Parthe Pandit, Ankur A. Kulkarni:
Refinement of the Equilibrium of Public Goods Games over Networks: Efficiency and Effort of Specialized Equilibria. CoRR abs/1607.02037 (2016) - [i8]Sharu Theresa Jose, Ankur A. Kulkarni:
Linear Programming based Converses for Finite Blocklength Lossy Joint Source-Channel Coding. CoRR abs/1608.03165 (2016) - 2015
- [j8]Ankur A. Kulkarni, Todd P. Coleman:
An Optimizer's Approach to Stochastic Control Problems With Nonclassical Information Structures. IEEE Trans. Autom. Control. 60(4): 937-949 (2015) - [j7]Ankur A. Kulkarni, Uday V. Shanbhag:
An Existence Result for Hierarchical Stackelberg v/s Stackelberg Games. IEEE Trans. Autom. Control. 60(12): 3379-3384 (2015) - [c9]Sharu Theresa Jose, Ankur A. Kulkarni:
A linear programming relaxation for stochastic control problems with non-classical information patterns. CDC 2015: 5743-5748 - [c8]Ankur A. Kulkarni:
Approximately optimal linear strategies for static teams with 'big' non-Gaussian noise. CDC 2015: 7177-7182 - [i7]Mathew P. Abraham, Ankur A. Kulkarni:
New Results on the Existence of Open Loop Nash Equilibria in Discrete Time Dynamic Games. CoRR abs/1509.03597 (2015) - 2014
- [j6]Ankur A. Kulkarni, Negar Kiyavash, Ramavarapu S. Sreenivas:
On the Varshamov-Tenengolts construction on binary strings. Discret. Math. 317: 79-90 (2014) - [c7]Bharat Prabhakar, Ankur A. Kulkarni:
Dimensionality reduction of affine variational inequalities using random projections. Allerton 2014: 256-263 - [c6]Ankur A. Kulkarni:
Insertion and deletion errors with a forbidden symbol. ITW 2014: 596-600 - [i6]Bharat Prabhakar, Ankur A. Kulkarni:
Dimensionality Reduction of Affine Variational Inequalities Using Random Projections. CoRR abs/1408.4551 (2014) - 2013
- [j5]Ankur A. Kulkarni, Negar Kiyavash:
Nonasymptotic Upper Bounds for Deletion Correcting Codes. IEEE Trans. Inf. Theory 59(8): 5115-5130 (2013) - [c5]Ankur A. Kulkarni, Uday V. Shanbhag:
On the consistency of leaders' conjectures in hierarchical games. CDC 2013: 1180-1185 - [i5]Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman:
Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CoRR abs/1307.1759 (2013) - [i4]Ankur A. Kulkarni, Todd P. Coleman:
An Optimizer's Approach to Stochastic Control Problems with Nonclassical Information Structures. CoRR abs/1309.3745 (2013) - 2012
- [j4]Ankur A. Kulkarni, Uday V. Shanbhag:
On the variational equilibrium as a refinement of the generalized Nash equilibrium. Autom. 48(1): 45-55 (2012) - [j3]Ankur A. Kulkarni, Uday V. Shanbhag:
Recourse-based stochastic nonlinear programming: properties and Benders-SQP algorithms. Comput. Optim. Appl. 51(1): 77-123 (2012) - [j2]Ankur A. Kulkarni, Uday V. Shanbhag:
Revisiting Generalized Nash Games and Variational Inequalities. J. Optim. Theory Appl. 154(1): 175-186 (2012) - [c4]Ankur A. Kulkarni, Todd P. Coleman:
An optimizer's approach to stochastic control problems with nonclassical information structures. CDC 2012: 154-159 - [c3]Daniel Cullina, Ankur A. Kulkarni, Negar Kiyavash:
A coloring approach to constructing deletion correcting codes from constant weight subgraphs. ISIT 2012: 513-517 - [i3]Ankur A. Kulkarni, Uday V. Shanbhag:
Global Equilibria of Multi-leader Multi-follower Games with Shared Constraints. CoRR abs/1206.2968 (2012) - [i2]Ankur A. Kulkarni, Negar Kiyavash:
Non-asymptotic Upper Bounds for Deletion Correcting Codes. CoRR abs/1211.3128 (2012) - [i1]Daniel Cullina, Ankur A. Kulkarni, Negar Kiyavash:
Two Approaches to the Construction of Deletion Correcting Codes: Weight Partitioning and Optimal Colorings. CoRR abs/1211.4056 (2012)
2000 – 2009
- 2009
- [j1]Ankur A. Kulkarni, Vivek S. Borkar:
Finite dimensional approximation and Newton-based algorithm for stochastic approximation in Hilbert space. Autom. 45(12): 2815-2822 (2009) - [c2]Ankur A. Kulkarni, Uday V. Shanbhag:
New insights on generalized Nash games with shared constraints: Constrained and variational equilibria. CDC 2009: 151-156 - [c1]Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrishnan Unnikrishnan, Quanyan Zhu, Prashant G. Mehta, Sean P. Meyn, Adam Wierman:
Approximate dynamic programming using fluid and diffusion approximations with applications to power management. CDC 2009: 3575-3580
Coauthor Index
aka: Anuj S. Vora
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last updated on 2024-10-07 22:17 CEST by the dblp team
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