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ORCIDSudeep Salgia
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Journal Articles
- 2024
[j4]Sudeep Salgia
, Tamir Gabay, Qing Zhao, Kobi Cohen:
A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. IEEE Trans. Signal Process. 72: 735-743 (2024)- [j3]Sudeep Salgia, Xinyi Wang, Qing Zhao, Lang Tong:
Adaptive Binning Coincidence Test for Uniformity Testing. IEEE Trans. Signal Process. 72: 2421-2435 (2024) - 2023
- [j2]Sudeep Salgia, Sattar Vakili, Qing Zhao:
Collaborative Learning in Kernel-Based Bandits for Distributed Users. IEEE Trans. Signal Process. 71: 3956-3967 (2023) - 2022
- [j1]Boshuang Huang, Sudeep Salgia, Qing Zhao:
Disagreement-Based Active Learning in Online Settings. IEEE Trans. Signal Process. 70: 1947-1958 (2022)
Conference and Workshop Papers
- 2024
- [c8]Sudeep Salgia, Sattar Vakili, Qing Zhao:
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency. ICML 2024 - 2023
- [c7]Sudeep Salgia:
Provably and Practically Efficient Neural Contextual Bandits. ICML 2023: 29800-29844 - [c6]Sudeep Salgia, Qing Zhao:
Distributed Linear Bandits under Communication Constraints. ICML 2023: 29845-29875 - 2021
- [c5]Sudeep Salgia, Qing Zhao:
An Order-Optimal Adaptive Test Plan for Noisy Group Testing Under Unknown Noise Models. ICASSP 2021: 4035-4039 - [c4]Sudeep Salgia, Sattar Vakili, Qing Zhao:
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance. NeurIPS 2021: 28836-28847 - 2020
- [c3]Sudeep Salgia, Qing Zhao, Sattar Vakili:
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization. ICML 2020: 8427-8437 - 2019
- [c2]Sattar Vakili, Sudeep Salgia, Qing Zhao:
Stochastic Gradient Descent on a Tree: an Adaptive and Robust Approach to Stochastic Convex Optimization. Allerton 2019: 432-438 - 2018
- [c1]Sudeep Salgia, Animesh Kumar:
Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. ICASSP 2018: 4574-4578
Informal and Other Publications
- 2024
- [i12]Nikola Pavlovic, Sudeep Salgia, Qing Zhao:
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness. CoRR abs/2402.13182 (2024) - [i11]Sudeep Salgia, Yuejie Chi:
The Sample-Communication Complexity Trade-off in Federated Q-Learning. CoRR abs/2408.16981 (2024) - 2023
- [i10]Sudeep Salgia, Karthik Murthy, Qing Zhao, Tamir Gabay, Kobi Cohen:
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret. CoRR abs/2301.08869 (2023) - [i9]Sudeep Salgia, Sattar Vakili, Qing Zhao:
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency. CoRR abs/2310.15351 (2023) - 2022
- [i8]Sudeep Salgia, Sattar Vakili, Qing Zhao:
Provably and Practically Efficient Neural Contextual Bandits. CoRR abs/2206.00099 (2022) - [i7]Sudeep Salgia, Sattar Vakili, Qing Zhao:
Kernel-based Federated Learning with Personalization. CoRR abs/2207.07948 (2022) - [i6]Sudeep Salgia, Qing Zhao:
Distributed Linear Bandits under Communication Constraints. CoRR abs/2211.02212 (2022) - 2021
- [i5]Sudeep Salgia, Qing Zhao, Lang Tong:
As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing. CoRR abs/2110.06325 (2021) - 2020
- [i4]Sudeep Salgia, Qing Zhao, Sattar Vakili:
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization. CoRR abs/2003.05482 (2020) - [i3]Sudeep Salgia, Sattar Vakili, Qing Zhao:
A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models. CoRR abs/2010.13997 (2020) - 2017
- [i2]Sudeep Salgia, Animesh Kumar:
Spatial Field estimation from Samples taken at Unknown Locations generated by an Unknown Autoregressive Process. CoRR abs/1710.09451 (2017) - [i1]Sudeep Salgia, Animesh Kumar:
On Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. CoRR abs/1710.09454 (2017)
Coauthor Index
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