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ORCIDPrathamesh Mayekar
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2020 – today
- 2024
[j4]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): 2779-2806 (2024)- 2023
- [c12]Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan:
Communication-Constrained Bandits under Additive Gaussian Noise. ICML 2023: 24236-24250 - [c11]Shubham K. Jha, Prathamesh Mayekar:
Fundamental Limits of Distributed Optimization over Multiple Access Channel. ITW 2023: 406-411 - [i8]Prathamesh Mayekar:
Compression for Distributed Optimization and Timely Updates. CoRR abs/2301.04364 (2023) - [i7]Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan:
Communication-Constrained Bandits under Additive Gaussian Noise. CoRR abs/2304.12680 (2023) - 2022
- [j3]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): 217-228 (2022) - [c10]Prathamesh Mayekar, Shubham K. Jha, Himanshu Tyagi:
Wyner-Ziv compression is (almost) optimal for distributed optimization. ISIT 2022: 578-583 - 2021
- [j2]Prathamesh Mayekar, Himanshu Tyagi:
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization. IEEE Trans. Inf. Theory 67(5): 3130-3154 (2021) - [c9]Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi:
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information. AISTATS 2021: 3502-3510 - [c8]Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi:
Fundamental limits of over-the-air optimization: Are analog schemes optimal? GLOBECOM 2021: 1-6 - [c7]Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar, Himanshu Tyagi:
Information-constrained optimization: can adaptive processing of gradients help? NeurIPS 2021: 7126-7138 - [i6]Jayadev Acharya, Clément L. Canonne, Prathamesh Mayekar, Himanshu Tyagi:
Information-constrained optimization: can adaptive processing of gradients help? CoRR abs/2104.00979 (2021) - [i5]Shubham K. Jha, Prathamesh Mayekar, Himanshu Tyagi:
Fundamental limits of over-the-air optimization: Are analog schemes optimal? CoRR abs/2109.05222 (2021) - 2020
- [j1]Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi:
Optimal Source Codes for Timely Updates. IEEE Trans. Inf. Theory 66(6): 3714-3731 (2020) - [c6]Prathamesh Mayekar, Himanshu Tyagi:
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization. AISTATS 2020: 1399-1409 - [c5]Prathamesh Mayekar, Himanshu Tyagi:
Limits on Gradient Compression for Stochastic Optimization. ISIT 2020: 2658-2663 - [i4]Prathamesh Mayekar, Himanshu Tyagi:
Limits on Gradient Compression for Stochastic Optimization. CoRR abs/2001.09032 (2020) - [i3]Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi:
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side Information. CoRR abs/2011.12160 (2020)
2010 – 2019
- 2019
- [i2]Prathamesh Mayekar, Himanshu Tyagi:
Finite Precision Stochastic Optimization - Accounting for the Bias. CoRR abs/1908.08200 (2019) - 2018
- [c4]Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi:
Optimal Lossless Source Codes for Timely Updates. ISIT 2018: 1246-1250 - [i1]Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi:
Optimal Source Codes for Timely Updates. CoRR abs/1810.05561 (2018) - 2016
- [c3]Prathamesh Mayekar, Nandyala Hemachandra:
Some algorithms for correlated bandits with non-stationary rewards: Regret bounds and applications. CODS 2016: 10:1-10:6 - [c2]Prathamesh Mayekar, Veerendra Kumar Rai, Abhinay Puvvala, Harrick Mayank Vin:
Is Prevention Always Better? A Case of IT Service Management. PACIS 2016: 42 - 2015
- [c1]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: 115-122
Coauthor Index
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