Published Work

• Mitigating Disparity while Maximzing Reward: Tight Anytime Guarantee for Improving Bandits

with Vishkha Patil, Ganesh Ghalme, Arindam Khan

32-st International Joint Conference on Artificial Intelligence (IJCAI) 2023

• Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program.

with Jackson Killian,  Arpita Biswas, Lily Xu, Shresth Verma, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonjha Johnson-Yu, Milind Tambe. Robust Planning over 

37-th AAAI Conference on Artificial Intelligence. 2023  

• ADVISER- AI Driven Vaccine Intervention Optimiser for increasing Vaccine Uptake in Nigeria

with Krithika Prakash, Michael Wilbur,  Aparna Taneja, Corrine Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay

31-st International Joint Conference on Artificial Intelligence (IJCAI) 2022 

*Awarded the Best Paper in IJCAI: AI For Good Track.

• Strategic Representation

39-th International Conference on Machine Learning (ICML), 2022

with Ganesh Ghalme, Inbal Talgam-Cohen and Nir Rosenfeld

• A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders

    38-th Conference on Uncertainity in Artificial Intelligence (UAI), 2022

with Aurghya Maiti and Gaurav Sinha

• Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment

with Ganesh Ghalme, Vishakha Patil and Yilun Zhou

To appear in 21-st International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 2022 (Oral Presentation)

• Sparse Linear Networks with a Fixed Butterfly Structure

with Nir Ailon and Omer Leibovitch

37-th Conference on Uncertainity in Artificial Intelligence (UAI), 2021

• Strategic Classification in the Dark

with Ganesh Ghalme, Itay Eilat, Inbal Talgam-Cohen and Nir Rosenfeld

38-th International Conference on Machine Learning (ICML), 2021

• Budgeted and Non-budgeted Causal Bandits

with Vishakha Patil and Gaurav Sinha

24-th Artficial Intelligence and Statistics (AISTATS), 2021

• Randomized polynomial-time equivalence between determinant and trace-IMM equivalence tests

with Janaky Murthy and Chandan Saha

45-th International Symposium of Mathematical Foundations of Computer Science (MFCS), 2020

• Achieving Fairness in the Stochastic Multi-armed Bandit Problem

      with Vishakha Patil, Ganesh Ghalme, and Y Narahari

    34-th AAAI conference on Artificial Intelligence, 2020 (Oral Presentation)

• Average-case linear matrix factorization and reconstruction of low width Algebraic Branching Programs 

with Neeraj Kayal and Chandan Saha. 

Computational Complexity (CC) journal, 2019

• Reconstruction of full rank Algebraic Branching Programs 

with Neeraj Kayal, Chandan Saha and Sébastien Tavenas. 

Invited to ACM Transactions on Computation Theory (ToCT) journal 

32nd IEEE Conference on Computational Complexity (CCC), 2017 

• Separation between Read-once Oblivious Algebraic Branching Programs (ROABPs) and Multilinear Depth Three Circuits  

with Neeraj Kayal and Chandan Saha. 

Invited to ACM Transactions on Computation Theory (ToCT) journal 

33rd Symposium on Theoretical Aspects of Computer Science (STACS), 2016 

Unpublished Work