Prathamesh Mayekar

26 papers A* 2A 2B 6Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Atlas Urban Index: A VLM-Based Approach for Spatially and Temporally Calibrated Urban Development Monitoring. CODS Mithul Chander, Sai Pragnya Ranga, Prathamesh Mayekar
2025	J	`jnl`	Atlas Urban Index: A VLM-Based Approach for Spatially and Temporally Calibrated Urban Development Monitoring. CoRR Mithul Chander, Sai Pragnya Ranga, Prathamesh Mayekar
2024	J	`jnl`	Wyner-Ziv Estimators for Distributed Mean Estimation With Side Information and Optimization. IEEE Trans. Inf. Theory Prathamesh Mayekar, Shubham K. Jha, Ananda Theertha Suresh, Himanshu Tyagi
2023	A*	`conf`	Communication-Constrained Bandits under Additive Gaussian Noise. ICML Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan
2023	J	`jnl`	Communication-Constrained Bandits under Additive Gaussian Noise. CoRR Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan
2023	J	`jnl`	Compression for Distributed Optimization and Timely Updates. CoRR Prathamesh Mayekar
2023	B	`conf`	Fundamental Limits of Distributed Optimization over Multiple Access Channel. ITW Shubham K. Jha, Prathamesh Mayekar
2022	J	`jnl`	Fundamental Limits of Over-the-Air Optimization: Are Analog Schemes Optimal? IEEE J. Sel. Areas Inf. Theory Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi
2022	B	`conf`	Wyner-Ziv compression is (almost) optimal for distributed optimization. ISIT Prathamesh Mayekar, Shubham K. Jha, Himanshu Tyagi
2021	B	`conf`	Fundamental limits of over-the-air optimization: Are analog schemes optimal? GLOBECOM Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi
2021	J	`jnl`	Fundamental limits of over-the-air optimization: Are analog schemes optimal? CoRR Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi
2021	A*	`conf`	Information-constrained optimization: can adaptive processing of gradients help? NeurIPS Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar, Himanshu Tyagi
2021	J	`jnl`	Information-constrained optimization: can adaptive processing of gradients help? CoRR Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar, Himanshu Tyagi
2021	J	`jnl`	RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization. IEEE Trans. Inf. Theory Prathamesh Mayekar, Himanshu Tyagi
2021	A	`conf`	Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information. AISTATS Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi
2020	B	`conf`	Limits on Gradient Compression for Stochastic Optimization. ISIT Prathamesh Mayekar, Himanshu Tyagi
2020	J	`jnl`	Limits on Gradient Compression for Stochastic Optimization. CoRR Prathamesh Mayekar, Himanshu Tyagi
2020	J	`jnl`	Optimal Source Codes for Timely Updates. IEEE Trans. Inf. Theory Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi
2020	A	`conf`	RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization. AISTATS Prathamesh Mayekar, Himanshu Tyagi
2020	J	`jnl`	Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side Information. CoRR Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi
2019	J	`jnl`	Finite Precision Stochastic Optimization - Accounting for the Bias. CoRR Prathamesh Mayekar, Himanshu Tyagi
2018	B	`conf`	Optimal Lossless Source Codes for Timely Updates. ISIT Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi
2018	J	`jnl`	Optimal Source Codes for Timely Updates. CoRR Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi
2016	—	`conf`	Is Prevention Always Better? A Case of IT Service Management. PACIS Prathamesh Mayekar, Veerendra Kumar Rai, Abhinay Puvvala, Harrick Mayank Vin
2016	—	`conf`	Some algorithms for correlated bandits with non-stationary rewards: Regret bounds and applications. CODS Prathamesh Mayekar, Nandyala Hemachandra
2015	B	`conf`	Performance analysis and decomposition results for some dynamic priority schemes in 2-class queues. WiOpt Prathamesh Mayekar, Jayendran Venkateswaran, Manu K. Gupta, Nandyala Hemachandra