Sayak Ray Chowdhury

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Function Approximation

Markov Decision Processes

Reinforcement Learning

Top Venues

Publications

Seongho Son, William Bankes, Sayak Ray Chowdhury, Brooks Paige, Ilija Bogunovic
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift. CoRR (2024)
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
Differentially Private Reward Estimation with Preference Feedback. AISTATS (2024)
Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan
Provably Robust DPO: Aligning Language Models with Noisy Feedback. CoRR (2024)
Nirjhar Das, Souradip Chakraborty, Aldo Pacchiano, Sayak Ray Chowdhury
Provably Sample Efficient RLHF via Active Preference Optimization. CoRR (2024)
Xingyu Zhou, Sayak Ray Chowdhury
On Differentially Private Federated Linear Contextual Bandits. ICLR (2024)
Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma
Combinatorial categorized bandits with expert rankings. UAI (2023)
Daman Arora, Anush Kini, Sayak Ray Chowdhury, Nagarajan Natarajan, Gaurav Sinha, Amit Sharma
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval. CoRR (2023)
Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. CoRR (2023)
Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards. ICML (2023)
Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. AISTATS (2023)
Sayak Ray Chowdhury, Xingyu Zhou
Distributed Differential Privacy in Multi-Armed Bandits. ICLR (2023)
Sayak Ray Chowdhury, Patrick Saux, Odalric Maillard, Aditya Gopalan
Bregman Deviations of Generic Exponential Families. COLT (2023)
Xingyu Zhou, Sayak Ray Chowdhury
On Differentially Private Federated Linear Contextual Bandits. CoRR (2023)
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
Differentially Private Reward Estimation with Preference Feedback. CoRR (2023)
Sayak Ray Chowdhury, Xingyu Zhou
Shuffle Private Linear Contextual Bandits. ICML (2022)
Avishek Ghosh, Sayak Ray Chowdhury
Model Selection in Reinforcement Learning with General Function Approximations. ECML/PKDD (4) (2022)
Sayak Ray Chowdhury, Xingyu Zhou
Distributed Differential Privacy in Multi-Armed Bandits. CoRR (2022)
Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. CoRR (2022)
Avishek Ghosh, Sayak Ray Chowdhury
Model Selection in Reinforcement Learning with General Function Approximations. CoRR (2022)
Sayak Ray Chowdhury, Xingyu Zhou
Differentially Private Regret Minimization in Episodic Markov Decision Processes. AAAI (2022)
Sayak Ray Chowdhury, Patrick Saux, Odalric-Ambrym Maillard, Aditya Gopalan
Bregman Deviations of Generic Exponential Families. CoRR (2022)
Sayak Ray Chowdhury, Rafael Oliveira
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. ACML (2022)
Sayak Ray Chowdhury, Xingyu Zhou
Shuffle Private Linear Contextual Bandits. CoRR (2022)
Sayak Ray Chowdhury, Aditya Gopalan, Odalric-Ambrym Maillard
Reinforcement Learning in Parametric MDPs with Exponential Families. AISTATS (2021)
Sayak Ray Chowdhury, Xingyu Zhou, Ness B. Shroff
Adaptive Control of Differentially Private Linear Quadratic Systems. ISIT (2021)
Sayak Ray Chowdhury, Xingyu Zhou
Differentially Private Regret Minimization in Episodic Markov Decision Processes. CoRR (2021)
Sayak Ray Chowdhury, Aditya Gopalan
No-regret Algorithms for Multi-task Bayesian Optimization. AISTATS (2021)
Avishek Ghosh, Sayak Ray Chowdhury, Kannan Ramchandran
Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes. CoRR (2021)
Sayak Ray Chowdhury, Xingyu Zhou, Ness B. Shroff
Adaptive Control of Differentially Private Linear Quadratic Systems. CoRR (2021)
Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation. UAI (2020)
Sayak Ray Chowdhury, Rafael Oliveira
No-Regret Reinforcement Learning with Value Function Approximation: a Kernel Embedding Approach. CoRR (2020)
Sayak Ray Chowdhury, Aditya Gopalan
No-regret Algorithms for Multi-task Bayesian Optimization. CoRR (2020)
Sayak Ray Chowdhury, Aditya Gopalan
On Online Learning in Kernelized Markov Decision Processes. CoRR (2019)
Sayak Ray Chowdhury, Aditya Gopalan
On Batch Bayesian Optimization. CoRR (2019)
Sayak Ray Chowdhury, Aditya Gopalan
Online Learning in Kernelized Markov Decision Processes. AISTATS (2019)
Sayak Ray Chowdhury, Aditya Gopalan
Bayesian Optimization under Heavy-tailed Payoffs. CoRR (2019)
Sayak Ray Chowdhury, Aditya Gopalan
Bayesian Optimization under Heavy-tailed Payoffs. NeurIPS (2019)
Sayak Ray Chowdhury, Aditya Gopalan
Online Learning in Kernelized Markov Decision Processes. CoRR (2018)
Sayak Ray Chowdhury, Aditya Gopalan
On Kernelized Multi-armed Bandits. CoRR (2017)
Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Misspecified Linear Bandits. AAAI (2017)
Sayak Ray Chowdhury, Aditya Gopalan
On Kernelized Multi-armed Bandits. ICML (2017)
Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan
Misspecified Linear Bandits. CoRR (2017)