Prathamesh Mayekar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Stochastic Optimization

Fundamental Limits

Top Venues

IEEE Trans. Inf. Theory

Publications

Prathamesh Mayekar, Shubham K. Jha, Ananda Theertha Suresh, Himanshu Tyagi
Wyner-Ziv Estimators for Distributed Mean Estimation With Side Information and Optimization. IEEE Trans. Inf. Theory 70 (4) (2024)
Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan
Communication-Constrained Bandits under Additive Gaussian Noise. ICML (2023)
Shubham K. Jha, Prathamesh Mayekar
Fundamental Limits of Distributed Optimization over Multiple Access Channel. ITW (2023)
Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan
Communication-Constrained Bandits under Additive Gaussian Noise. CoRR (2023)
Prathamesh Mayekar
Compression for Distributed Optimization and Timely Updates. CoRR (2023)
Prathamesh Mayekar, Shubham K. Jha, Himanshu Tyagi
Wyner-Ziv compression is (almost) optimal for distributed optimization. ISIT (2022)
Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi
Fundamental Limits of Over-the-Air Optimization: Are Analog Schemes Optimal? IEEE J. Sel. Areas Inf. Theory 3 (2) (2022)
Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi
Fundamental limits of over-the-air optimization: Are analog schemes optimal? CoRR (2021)
Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar, Himanshu Tyagi
Information-constrained optimization: can adaptive processing of gradients help? NeurIPS (2021)
Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information. AISTATS (2021)
Prathamesh Mayekar, Himanshu Tyagi
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization. IEEE Trans. Inf. Theory 67 (5) (2021)
Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar, Himanshu Tyagi
Information-constrained optimization: can adaptive processing of gradients help? CoRR (2021)
Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi
Fundamental limits of over-the-air optimization: Are analog schemes optimal? GLOBECOM (2021)
Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi
Optimal Source Codes for Timely Updates. IEEE Trans. Inf. Theory 66 (6) (2020)
Prathamesh Mayekar, Himanshu Tyagi
Limits on Gradient Compression for Stochastic Optimization. CoRR (2020)
Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side Information. CoRR (2020)
Prathamesh Mayekar, Himanshu Tyagi
Limits on Gradient Compression for Stochastic Optimization. ISIT (2020)
Prathamesh Mayekar, Himanshu Tyagi
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization. AISTATS (2020)
Prathamesh Mayekar, Himanshu Tyagi
Finite Precision Stochastic Optimization - Accounting for the Bias. CoRR (2019)
Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi
Optimal Source Codes for Timely Updates. CoRR (2018)
Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi
Optimal Lossless Source Codes for Timely Updates. ISIT (2018)
Prathamesh Mayekar, Nandyala Hemachandra
Some algorithms for correlated bandits with non-stationary rewards: Regret bounds and applications. CODS (2016)
Prathamesh Mayekar, Veerendra Kumar Rai, Abhinay Puvvala, Harrick Mayank Vin
Is Prevention Always Better? A Case of IT Service Management. PACIS (2016)
Prathamesh Mayekar, Jayendran Venkateswaran, Manu K. Gupta, Nandyala Hemachandra
Performance analysis and decomposition results for some dynamic priority schemes in 2-class queues. WiOpt (2015)