Subhojyoti Mukherjee
13 papers · 2017–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(10)
Learning Types Β· Machine Learning
(8)
Optimization & Theory
(8)
Mathematics & Optimization
(6)
Optimization
(6)
Artificial Intelligence
(5)
Core AI
(5)
Natural Language Processing
(3)
Reinforcement Learning
(3)
Methods
(3)
Deep Learning
(2)
Core Methods
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Application Areas
(1)
Keywords
policy evaluation
(3)
sample complexity
(3)
multi-armed bandit
(3)
experimental design
(3)
active learning
(3)
regret bound
(2)
safety constraint
(2)
optimal design
(2)
large language model
(2)
online learning
(1)
adaptive sampling
(1)
flow matching
(1)
adaptive experimental design
(1)
hypothesis testing
(1)
representation learning
(1)
preference learning
(1)
multi-task learning
(1)
algorithm design
(1)
neural network model
(1)
arm selection
(1)
Papers
A Survey on LLM-based Conversational User Simulation
EACL 2026
Stepwise Credit Assignment for GRPO on Flow-Matching Models
CVPR 2026
From Selection to Generation: A Survey of LLM-based Active Learning
ACL 2025
Logits are All We Need to Adapt Closed Models
ICML 2025
Optimal Design for Human Preference Elicitation
NeurIPS 2024
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
ICML 2024
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
AISTATS 2024
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
NeurIPS 2023
Chernoff Sampling for Active Testing and Extension to Active Regression
AISTATS 2022
Nearly Optimal Algorithms for Level Set Estimation
AISTATS 2022
ReVar: Strengthening policy evaluation via reduced variance sampling
UAI 2022
Safety aware changepoint detection for piecewise i.i.d. bandits
UAI 2022
Thresholding Bandits with Augmented UCB
IJCAI 2017