Does Momentum Help? A Sample Complexity Analysis. - Gugan Thoppe; Rohan Deb; Swetha Ganesh; Amarjit Budhiraja (CoRR, 2021)

N-Timescale Stochastic Approximation: Stability and Convergence. - Rohan Deb; Shalabh Bhatnagar (CoRR, 2021)

Gradient Temporal Difference with Momentum: Stability and Convergence. - Rohan Deb; Shalabh Bhatnagar (AAAI, 2022)

Schedule Based Temporal Difference Algorithms. - Rohan Deb; Meet Gandhi; Shalabh Bhatnagar (Allerton, 2022)

Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis. - Swetha Ganesh; Rohan Deb; Gugan Thoppe; Amarjit Budhiraja (UAI, 2023)

Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources. - Rohan Deb; Aadirupa Saha (CoRR, 2023)

Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources. - Rohan Deb; Aadirupa Saha; Arindam Banerjee 001 (AISTATS, 2024)

Contextual Bandits with Online Neural Regression. - Rohan Deb; Yikun Ban; Shiliang Zuo; Jingrui He; Arindam Banerjee 001 (ICLR, 2024)

Conservative Contextual Bandits: Beyond Linear Representations. - Rohan Deb; Mohammad Ghavamzadeh; Arindam Banerjee 001 (ICLR, 2025)

FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain. - Rohan Deb; Kiran Koshy Thekumparampil; Kousha Kalantari; Gaurush Hiranandani; Shoham Sabach; Branislav Kveton (CoRR, 2025)