Sudeep Salgia

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Gaussian Process

Convex Optimization

Top Venues

IEEE Trans. Signal Process.

Publications

Sudeep Salgia, Xinyi Wang, Qing Zhao, Lang Tong
Adaptive Binning Coincidence Test for Uniformity Testing. IEEE Trans. Signal Process. 72 (2024)
Nikola Pavlovic, Sudeep Salgia, Qing Zhao
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness. CoRR (2024)
Sudeep Salgia, Tamir Gabay, Qing Zhao, Kobi Cohen
A Communication-Efficient Adaptive Algorithm for Federated Learning Under Cumulative Regret. IEEE Trans. Signal Process. 72 (2024)
Sudeep Salgia, Karthik Murthy, Qing Zhao, Tamir Gabay, Kobi Cohen
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret. CoRR (2023)
Sudeep Salgia, Sattar Vakili, Qing Zhao
Collaborative Learning in Kernel-Based Bandits for Distributed Users. IEEE Trans. Signal Process. 71 (2023)
Sudeep Salgia
Provably and Practically Efficient Neural Contextual Bandits. ICML (2023)
Sudeep Salgia, Qing Zhao
Distributed Linear Bandits under Communication Constraints. ICML (2023)
Sudeep Salgia, Sattar Vakili, Qing Zhao
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency. CoRR (2023)
Boshuang Huang, Sudeep Salgia, Qing Zhao
Disagreement-Based Active Learning in Online Settings. IEEE Trans. Signal Process. 70 (2022)
Sudeep Salgia, Sattar Vakili, Qing Zhao
Kernel-based Federated Learning with Personalization. CoRR (2022)
Sudeep Salgia, Qing Zhao
Distributed Linear Bandits under Communication Constraints. CoRR (2022)
Sudeep Salgia, Sattar Vakili, Qing Zhao
Provably and Practically Efficient Neural Contextual Bandits. CoRR (2022)
Sudeep Salgia, Qing Zhao, Lang Tong
As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing. CoRR (2021)
Sudeep Salgia, Qing Zhao
An Order-Optimal Adaptive Test Plan for Noisy Group Testing Under Unknown Noise Models. ICASSP (2021)
Sudeep Salgia, Sattar Vakili, Qing Zhao
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance. NeurIPS (2021)
Sudeep Salgia, Qing Zhao, Sattar Vakili
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization. ICML (2020)
Sudeep Salgia, Sattar Vakili, Qing Zhao
A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models. CoRR (2020)
Sudeep Salgia, Qing Zhao, Sattar Vakili
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization. CoRR (2020)
Sattar Vakili, Sudeep Salgia, Qing Zhao
Stochastic Gradient Descent on a Tree: an Adaptive and Robust Approach to Stochastic Convex Optimization. Allerton (2019)
Sudeep Salgia, Animesh Kumar
Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. ICASSP (2018)
Sudeep Salgia, Animesh Kumar
On Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors. CoRR (2017)
Sudeep Salgia, Animesh Kumar
Spatial Field estimation from Samples taken at Unknown Locations generated by an Unknown Autoregressive Process. CoRR (2017)