Thresholding Bandits with Augmented UCB. - Subhojyoti Mukherjee; Kolar Purushothama Naveen; Nandan Sudarsanam; Balaraman Ravindran (IJCAI, 2017)

Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates. - Subhojyoti Mukherjee; K. P. Naveen; Nandan Sudarsanam; Balaraman Ravindran (AAAI, 2018)

Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits. - Subhojyoti Mukherjee; Odalric-Ambrym Maillard (CoRR, 2019)

Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms. - Subhojyoti Mukherjee; Ardhendu Tripathy; Robert D. Nowak (CoRR, 2020)

A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting. - Samarth Gupta; Shreyas Chaudhari; Subhojyoti Mukherjee; Gauri Joshi; Osman Yagan (IEEE J. Sel. Areas Inf. Theory, 2020)

A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. - Samarth Gupta; Shreyas Chaudhari; Subhojyoti Mukherjee; Gauri Joshi; Osman Yagan (ICASSP, 2021)

Nearly Optimal Algorithms for Level Set Estimation. - Blake Mason; Lalit Jain; Subhojyoti Mukherjee; Romain Camilleri; Kevin G. Jamieson; Robert D. Nowak (AISTATS, 2022)

Chernoff Sampling for Active Testing and Extension to Active Regression. - Subhojyoti Mukherjee; Ardhendu S. Tripathy; Robert D. Nowak (AISTATS, 2022)

Safety aware changepoint detection for piecewise i.i.d. bandits. - Subhojyoti Mukherjee (UAI, 2022)

ReVar: Strengthening policy evaluation via reduced variance sampling. - Subhojyoti Mukherjee; Josiah P. Hanna; Robert D. Nowak (UAI, 2022)

Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. - Subhojyoti Mukherjee; Qiaomin Xie; Josiah Hanna; Robert D. Nowak (NeurIPS, 2023)

Efficient and Interpretable Bandit Algorithms. - Subhojyoti Mukherjee; Ruihao Zhu; Branislav Kveton (CoRR, 2023)

SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. - Subhojyoti Mukherjee; Qiaomin Xie; Josiah P. Hanna; Robert D. Nowak (AISTATS, 2024)

SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. - Subhojyoti Mukherjee; Josiah P. Hanna; Robert D. Nowak (ICML, 2024)

Optimal Design for Human Preference Elicitation. - Subhojyoti Mukherjee; Anusha Lalitha; Kousha Kalantari; Aniket Deshmukh 001; Ge Liu; Yifei Ma; Branislav Kveton (NeurIPS, 2024)

Experimental Design for Active Transductive Inference in Large Language Models. - Subhojyoti Mukherjee; Ge Liu; Aniket Deshmukh 001; Anusha Lalitha; Yifei Ma; Branislav Kveton (CoRR, 2024)

Optimal Design for Human Feedback. - Subhojyoti Mukherjee; Anusha Lalitha; Kousha Kalantari; Aniket Deshmukh 001; Ge Liu; Yifei Ma; Branislav Kveton (CoRR, 2024)

Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning. - Subhojyoti Mukherjee; Josiah P. Hanna; Qiaomin Xie; Robert D. Nowak (CoRR, 2024)

Off-Policy Evaluation from Logged Human Feedback. - Aniruddha Bhargava; Lalit Jain; Branislav Kveton; Ge Liu; Subhojyoti Mukherjee (CoRR, 2024)

Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization. - Subhojyoti Mukherjee; Anusha Lalitha; Sailik Sengupta; Aniket Deshmukh 001; Branislav Kveton (CoRR, 2024)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

Logits are All We Need to Adapt Closed Models. - Gaurush Hiranandani; Haolun Wu; Subhojyoti Mukherjee; Sanmi Koyejo (CoRR, 2025)

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. - Li Li 006; Peilin Cai; Ryan A. Rossi; Franck Dernoncourt; Branislav Kveton; Junda Wu; Tong Yu 001; Linxin Song; Tiankai Yang 001; Yuehan Qin; Nesreen K. Ahmed; Samyadeep Basu; et al. (CoRR, 2025)

Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning. - Subhojyoti Mukherjee; Viet Dac Lai; Raghavendra Addanki; Ryan A. Rossi; Seunghyun Yoon 002; Trung Bui; Anup B. Rao; Jayakumar Subramanian; Branislav Kveton (CoRR, 2025)

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. - Mohamed Elmoghany; Ryan A. Rossi; Seunghyun Yoon 002; Subhojyoti Mukherjee; Eslam Mohamed Bakr; Puneet Mathur; Gang Wu 013; Viet Dac Lai; Nedim Lipka; Ruiyi Zhang 002; Varun Manjunatha; Chien Van Nguyen; et al. (CoRR, 2025)