Publications

Scalable Policy-Based RL Algorithms for POMDPs
Anjarlekar, A., Etesami, R., & Srikant, R. NeurIPS 2025.

Online Mechanism Design for Differentially Private Data Acquisition
Anjarlekar, A., Etesami, R., & Srikant, R. 2024 IEEE 63rd Conference on Decision and Control (CDC).

LLM Unlearning using Gradient Ratio-Based Influence Estimation and Noise Injection
Anjarlekar, A., Pombra S.

Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression
Anjarlekar, A., Etesami, R., & Srikant, R.

A Weighted Generalized Coherence Approach for Sensing Matrix Design
Ameya Anjarlekar and Ajit Rajwade.

Generalized Fractional Ambiguity Function and Its Applications
Peeyush Sahay, Izaz Ahamed Shaik Rasheed, Pranav Kulkarni, Shubham Anand Jain, Ameya Anjarlekar, P. Radhakrishna & Vikram M. G Circuits, Systems, and Signal Processing, Springer.

Generalized Fractional Matched Filtering and its Applications
P. Sahay, A. Anjarlekar, S. A. Jain, P. Radhakrishna and V. M. Gadre, 2020 National Conference on Communications (NCC)