Learning Agents in Black-Scholes Financial Markets: Consensus Dynamics and Volatility Smiles. - Tushar Vaidya; Carlos Murguia; Georgios Piliouras (CoRR, 2017)

Learning Agents in Financial Markets: Consensus Dynamics on Volatility. - Tushar Vaidya; Carlos Murguia; Georgios Piliouras (AAMAS, 2018)

Broken Detailed Balance and Non-Equilibrium Dynamics in Noisy Social Learning Models. - Tushar Vaidya; Thiparat Chotibut; Georgios Piliouras (CoRR, 2019)

Topological Mapping for Manhattan-like Repetitive Environments. - Sai Shubodh Puligilla; Satyajit Tourani; Tushar Vaidya; Udit Singh Parihar; Ravi Kiran Sarvadevabhatla; K. Madhava Krishna (ICRA, 2020)

Federated Distillation of Natural Language Understanding with Confident Sinkhorns. - Rishabh Bhardwaj; Tushar Vaidya; Soujanya Poria (CoRR, 2021)

KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks. - Rishabh Bhardwaj; Tushar Vaidya; Soujanya Poria (COLING, 2022)

Towards solving NLP tasks with optimal transport loss. - Rishabh Bhardwaj; Tushar Vaidya; Soujanya Poria (J. King Saud Univ. Comput. Inf. Sci., 2022)

Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach. - Sai Ganesh Nagarajan; Gerasimos Palaiopanos; Ioannis Panageas; Tushar Vaidya; Samson Yu 001 (AAAI, 2023)

Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices. - Jingyi Xu; Tushar Vaidya; Yufei Wu 003; Saket Chandra; Zhangsheng Lai; Kai Fong Ernest Chong (CVPR, 2023)

Adapter Pruning using Tropical Characterization. - Rishabh Bhardwaj; Tushar Vaidya; Soujanya Poria (EMNLP (Findings), 2023)

Quantum Algorithms for the Pathwise Lasso. - João F. Doriguello; Debbie Lim; Chi Seng Pun; Patrick Rebentrost; Tushar Vaidya (Quantum, 2025)