Mayekar, Prathamesh

4 publications

ICML 2023 Communication-Constrained Bandits Under Additive Gaussian Noise Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan

AISTATS 2021 Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi

NeurIPS 2021 Information-Constrained Optimization: Can Adaptive Processing of Gradients Help? Jayadev Acharya, Clement Canonne, Prathamesh Mayekar, Himanshu Tyagi

AISTATS 2020 RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization Prathamesh Mayekar, Himanshu Tyagi