Sayak Ray Chowdhury
20 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
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Conferences
ICML (6)
AISTATS (5)
AAAI (2)
ICLR (2)
UAI (2)
ACML (1)
COLT (1)
NIPS (1)
Top co-authors
Research topics
Keywords
regret bound
(10)
differential privacy
(5)
markov decision process
(5)
reproducing kernel hilbert space
(5)
bayesian optimization
(4)
reinforcement learning
(3)
gaussian process
(3)
upper confidence bound
(3)
policy optimization
(2)
regret minimization
(2)
kernel methods
(2)
heavy-tailed distribution
(2)
information gain
(2)
multi-armed bandit
(2)
exponential family
(2)
bregman divergence
(1)
sequential decision-making
(1)
kernel approximation
(1)
value function approximation
(1)
preference learning
(1)
Papers
DP-NCB: Privacy Preserving Fair Bandits
AAAI 2026
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
ICML 2025
On Differentially Private Federated Linear Contextual Bandits
ICLR 2024
Differentially Private Reward Estimation with Preference Feedback
AISTATS 2024
OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification
ICML 2024
Provably Robust DPO: Aligning Language Models with Noisy Feedback
ICML 2024
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference
AISTATS 2023
Bregman Deviations of Generic Exponential Families
COLT 2023
Distributed Differential Privacy in Multi-Armed Bandits
ICLR 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
ICML 2023
Combinatorial categorized bandits with expert rankings
UAI 2023
Value Function Approximations via Kernel Embeddings
for No-Regret Reinforcement Learning
ACML 2022
Shuffle Private Linear Contextual Bandits
ICML 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes
AAAI 2022
Reinforcement Learning in Parametric MDPs with Exponential Families
AISTATS 2021
No-regret Algorithms for Multi-task Bayesian Optimization
AISTATS 2021
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation
UAI 2020
Bayesian Optimization under Heavy-tailed Payoffs
NIPS 2019
Online Learning in Kernelized Markov Decision Processes
AISTATS 2019
On Kernelized Multi-armed Bandits
ICML 2017