Sudeep Salgia - RankMe

31 papers A* 6A 3Misc 2Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization. AISTATS Sudeep Salgia, Nikola Pavlovic, Yuejie Chi, Qing Zhao
2025	J	`jnl`	Characterizing the Accuracy-Communication-Privacy Trade-off in Distributed Stochastic Convex Optimization. CoRR Sudeep Salgia, Nikola Pavlovic, Yuejie Chi, Qing Zhao
2025	J	`jnl`	Differential Privacy in Kernelized Contextual Bandits via Random Projections. CoRR Nikola Pavlovic, Sudeep Salgia, Qing Zhao
2025	A	`conf`	Differentially Private Kernelized Contextual Bandits. AISTATS Nikola Pavlovic, Sudeep Salgia, Qing Zhao
2025	J	`jnl`	Differentially Private Kernelized Contextual Bandits. CoRR Nikola Pavlovic, Sudeep Salgia, Qing Zhao
2025	A	`conf`	Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness. AISTATS Nikola Pavlovic, Sudeep Salgia, Qing Zhao
2024	J	`jnl`	A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. IEEE Trans. Signal Process. Sudeep Salgia, Tamir Gabay, Qing Zhao, Kobi Cohen
2024	J	`jnl`	Adaptive Binning Coincidence Test for Uniformity Testing. IEEE Trans. Signal Process. Sudeep Salgia, Xinyi Wang, Qing Zhao, Lang Tong
2024	J	`jnl`	Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness. CoRR Nikola Pavlovic, Sudeep Salgia, Qing Zhao
2024	A*	`conf`	Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency. ICML Sudeep Salgia, Sattar Vakili, Qing Zhao
2024	A*	`conf`	The Sample-Communication Complexity Trade-off in Federated Q-Learning. NeurIPS Sudeep Salgia, Yuejie Chi
2024	J	`jnl`	The Sample-Communication Complexity Trade-off in Federated Q-Learning. CoRR Sudeep Salgia, Yuejie Chi
2023	J	`jnl`	A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret. CoRR Sudeep Salgia, Karthik Murthy, Qing Zhao, Tamir Gabay, Kobi Cohen
2023	J	`jnl`	Collaborative Learning in Kernel-Based Bandits for Distributed Users. IEEE Trans. Signal Process. Sudeep Salgia, Sattar Vakili, Qing Zhao
2023	A*	`conf`	Distributed Linear Bandits under Communication Constraints. ICML Sudeep Salgia, Qing Zhao
2023	A*	`conf`	Provably and Practically Efficient Neural Contextual Bandits. ICML Sudeep Salgia
2023	J	`jnl`	Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency. CoRR Sudeep Salgia, Sattar Vakili, Qing Zhao
2022	J	`jnl`	Disagreement-Based Active Learning in Online Settings. IEEE Trans. Signal Process. Boshuang Huang, Sudeep Salgia, Qing Zhao
2022	J	`jnl`	Distributed Linear Bandits under Communication Constraints. CoRR Sudeep Salgia, Qing Zhao
2022	J	`jnl`	Kernel-based Federated Learning with Personalization. CoRR Sudeep Salgia, Sattar Vakili, Qing Zhao
2022	J	`jnl`	Provably and Practically Efficient Neural Contextual Bandits. CoRR Sudeep Salgia, Sattar Vakili, Qing Zhao
2021	A*	`conf`	A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance. NeurIPS Sudeep Salgia, Sattar Vakili, Qing Zhao
2021	Misc	`conf`	An Order-Optimal Adaptive Test Plan for Noisy Group Testing Under Unknown Noise Models. ICASSP Sudeep Salgia, Qing Zhao
2021	J	`jnl`	As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing. CoRR Sudeep Salgia, Qing Zhao, Lang Tong
2020	J	`jnl`	A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models. CoRR Sudeep Salgia, Sattar Vakili, Qing Zhao
2020	A*	`conf`	Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization. ICML Sudeep Salgia, Qing Zhao, Sattar Vakili
2020	J	`jnl`	Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization. CoRR Sudeep Salgia, Qing Zhao, Sattar Vakili
2019	—	`conf`	Stochastic Gradient Descent on a Tree: an Adaptive and Robust Approach to Stochastic Convex Optimization. Allerton Sattar Vakili, Sudeep Salgia, Qing Zhao
2018	Misc	`conf`	Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. ICASSP Sudeep Salgia, Animesh Kumar
2017	J	`jnl`	On Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. CoRR Sudeep Salgia, Animesh Kumar
2017	J	`jnl`	Spatial Field estimation from Samples taken at Unknown Locations generated by an Unknown Autoregressive Process. CoRR Sudeep Salgia, Animesh Kumar