Prathamesh Mayekar

Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side Information pdf

Prathamesh Mayekar, Ananda Theertha Suresh, Himanshu Tyagi, 2020, ArXiv.

Finite Precision Stochastic Optimisation - Accounting for the Bias pdf

Prathamesh Mayekar, Himanshu Tyagi, 2019, ArXiv.

RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization

Prathamesh Mayekar, Himanshu Tyagi, Himanshu Tyagi, 2019, IEEE Transactions on Information Theory.

Limits on Gradient Compression for Stochastic Optimization

Prathamesh Mayekar, Himanshu Tyagi, 2020, 2020 IEEE International Symposium on Information Theory (ISIT).

Some algorithms for correlated bandits with non-stationary rewards: Regret bounds and applications

Prathamesh Mayekar, Nandyala Hemachandra, 2016, CODS.

Optimal Lossless Source Codes for Timely Updates

Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi, 2018, 2018 IEEE International Symposium on Information Theory (ISIT).

Is Prevention Always Better? A Case of IT Service Management

Prathamesh Mayekar, Veerendra Kumar Rai, Abhinay Puvvala, 2016, PACIS.

Performance analysis and decomposition results for some dynamic priority schemes in 2-class queues

Prathamesh Mayekar, Manu K. Gupta, Nandyala Hemachandra, 2015, 2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).

Information-constrained optimization: can adaptive processing of gradients help? pdf

Prathamesh Mayekar, Himanshu Tyagi, Jayadev Acharya, 2021, NeurIPS.

Fundamental limits of over-the-air optimization: Are analog schemes optimal? pdf

Prathamesh Mayekar, Himanshu Tyagi, Shubham K. Jha, 2021, 2021 IEEE Global Communications Conference (GLOBECOM).