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ORCIDSubhojyoti Mukherjee
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2020 – today
- 2024
[c10]Subhojyoti Mukherjee, Qiaomin Xie, Josiah P. Hanna, Robert D. Nowak:
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits. AISTATS 2024: 2962-2970- [c9]Subhojyoti Mukherjee, Josiah P. Hanna, Robert D. Nowak:
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP. ICML 2024 - [i15]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) - [i14]Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton:
Optimal Design for Human Feedback. CoRR abs/2404.13895 (2024) - [i13]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) - [i12]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) - [i11]Aniruddha Bhargava, Lalit Jain, Branislav Kveton, Ge Liu, Subhojyoti Mukherjee:
Off-Policy Evaluation from Logged Human Feedback. CoRR abs/2406.10030 (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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