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ORCIDSubhojyoti Mukherjee
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2020 – today
- 2025
[i18]Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo:
Logits are All We Need to Adapt Closed Models. CoRR abs/2502.06806 (2025)- [i17]Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley:
From Selection to Generation: A Survey of LLM-based Active Learning. CoRR abs/2502.11767 (2025) - 2024
- [c11]Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak:
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. AISTATS 2024: 2962-2970 - [c10]Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak:
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. ICML 2024 - [c9]Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Anand Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton:
Optimal Design for Human Preference Elicitation. NeurIPS 2024 - [i16]Subhojyoti Mukherjee, Ge Liu, Aniket Deshmukh, Anusha Lalitha, Yifei Ma, Branislav Kveton:
Experimental Design for Active Transductive Inference in Large Language Models. CoRR abs/2404.08846 (2024) - [i15]Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton:
Optimal Design for Human Feedback. CoRR abs/2404.13895 (2024) - [i14]Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak:
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. CoRR abs/2406.02165 (2024) - [i13]Subhojyoti Mukherjee, Josiah P. Hanna, Qiaomin Xie, Robert D. Nowak:
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning. CoRR abs/2406.05064 (2024) - [i12]Aniruddha Bhargava, Lalit Jain, Branislav Kveton, Ge Liu, Subhojyoti Mukherjee:
Off-Policy Evaluation from Logged Human Feedback. CoRR abs/2406.10030 (2024) - [i11]Subhojyoti Mukherjee, Anusha Lalitha, Sailik Sengupta, Aniket Deshmukh, Branislav Kveton:
Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization. CoRR abs/2412.05469 (2024) - 2023
- [c8]Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak:
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. NeurIPS 2023 - [i10]Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert D. Nowak:
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. CoRR abs/2301.12357 (2023) - [i9]Subhojyoti Mukherjee, Ruihao Zhu, Branislav Kveton:
Efficient and Interpretable Bandit Algorithms. CoRR abs/2310.14751 (2023) - [i8]Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak:
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits. CoRR abs/2311.00327 (2023) - 2022
- [c7]Subhojyoti Mukherjee
, Ardhendu S. Tripathy, Robert D. Nowak:
Chernoff Sampling for Active Testing and Extension to Active Regression. AISTATS 2022: 7384-7432 - [c6]Blake Mason, Lalit Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin G. Jamieson, Robert D. Nowak:
Nearly Optimal Algorithms for Level Set Estimation. AISTATS 2022: 7625-7658 - [c5]Subhojyoti Mukherjee:
Safety aware changepoint detection for piecewise i.i.d. bandits. UAI 2022: 1402-1412 - [c4]Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak:
ReVar: Strengthening policy evaluation via reduced variance sampling. UAI 2022: 1413-1422 - [i7]Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak:
ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling. CoRR abs/2203.04510 (2022) - [i6]Subhojyoti Mukherjee:
Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits. CoRR abs/2205.13689 (2022) - 2021
- [c3]Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan:
A Unified Approach to Translate Classical Bandit Algorithms to Structured Bandits. ICASSP 2021: 3360-3364 - [i5]Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert D. Nowak, Lalit Jain:
Nearly Optimal Algorithms for Level Set Estimation. CoRR abs/2111.01768 (2021) - 2020
- [j1]Samarth Gupta, Shreyas Chaudhari, Subhojyoti Mukherjee, Gauri Joshi, Osman Yagan:
A Unified Approach to Translate Classical Bandit Algorithms to the Structured Bandit Setting. IEEE J. Sel. Areas Inf. Theory 1(3): 840-853 (2020) - [i4]Subhojyoti Mukherjee, Ardhendu Tripathy, Robert D. Nowak:
Generalized Chernoff Sampling for Active Learning and Structured Bandit Algorithms. CoRR abs/2012.08073 (2020)
2010 – 2019
- 2019
- [i3]Subhojyoti Mukherjee, Odalric-Ambrym Maillard:
Distribution-dependent and Time-uniform Bounds for Piecewise i.i.d Bandits. CoRR abs/1905.13159 (2019) - 2018
- [c2]Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran:
Efficient-UCBV: An Almost Optimal Algorithm Using Variance Estimates. AAAI 2018: 6417-6424 - 2017
- [c1]Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran:
Thresholding Bandits with Augmented UCB. IJCAI 2017: 2515-2521 - [i2]Subhojyoti Mukherjee, Kolar Purushothama Naveen, Nandan Sudarsanam, Balaraman Ravindran:
Thresholding Bandits with Augmented UCB. CoRR abs/1704.02281 (2017) - [i1]Subhojyoti Mukherjee, K. P. Naveen, Nandan Sudarsanam, Balaraman Ravindran:
Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates. CoRR abs/1711.03591 (2017)
Coauthor Index
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