Gopalan, Aditya

29 publications

ICML 2025 Instance-Optimal Pure Exploration for Linear Bandits on Continuous Arms Sho Takemori, Yuhei Umeda, Aditya Gopalan

AISTATS 2024 A Unified Framework for Discovering Discrete Symmetries Pavan Karjol, Rohan Kashyap, Aditya Gopalan, A. P. Prathosh

AISTATS 2024 Model-Based Best Arm Identification for Decreasing Bandits Sho Takemori, Yuhei Umeda, Aditya Gopalan

ICMLW 2024 Should You Trust DQN? Aditya Gopalan, Gugan Thoppe

ICML 2024 Testing the Feasibility of Linear Programs with Bandit Feedback Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott

COLT 2023 Bregman Deviations of Generic Exponential Families Sayak Ray Chowdhury, Patrick Saux, Odalric Maillard, Aditya Gopalan

AISTATS 2023 Exploration in Linear Bandits with Rich Action Sets and Its Implications for Inference Debangshu Banerjee, Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan

ICML 2022 Actor-Critic Based Improper Reinforcement Learning Mohammadi Zaki, Avi Mohan, Aditya Gopalan, Shie Mannor

IJCAI 2022 Improved Pure Exploration in Linear Bandits with No-Regret Learning Mohammadi Zaki, Avi Mohan, Aditya Gopalan

AISTATS 2021 No-Regret Algorithms for Multi-Task Bayesian Optimization Sayak Ray Chowdhury, Aditya Gopalan

AISTATS 2021 Reinforcement Learning in Parametric MDPs with Exponential Families Sayak Ray Chowdhury, Aditya Gopalan, Odalric-Ambrym Maillard

NeurIPS 2021 Bandit Quickest Changepoint Detection Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama

AISTATS 2020 Best-Item Learning in Random Utility Models with Subset Choices Aadirupa Saha, Aditya Gopalan

ICML 2020 From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model Aadirupa Saha, Aditya Gopalan

AAAI 2020 On Adaptivity in Information-Constrained Online Learning Siddharth Mitra, Aditya Gopalan

AAAI 2020 Sequential Mode Estimation with Oracle Queries Dhruti Shah, Tuhinangshu Choudhury, Nikhil Karamchandani, Aditya Gopalan

AISTATS 2019 Active Ranking with Subset-Wise Preferences Aadirupa Saha, Aditya Gopalan

NeurIPS 2019 Bayesian Optimization Under Heavy-Tailed Payoffs Sayak Ray Chowdhury, Aditya Gopalan

NeurIPS 2019 Combinatorial Bandits with Relative Feedback Aadirupa Saha, Aditya Gopalan

AISTATS 2019 Online Learning in Kernelized Markov Decision Processes Sayak Ray Chowdhury, Aditya Gopalan

ALT 2019 PAC Battling Bandits in the Plackett-Luce Model Aadirupa Saha, Aditya Gopalan

UAI 2018 Battle of Bandits Aadirupa Saha, Aditya Gopalan

AAAI 2018 Online Learning for Structured Loss Spaces Siddharth Barman, Aditya Gopalan, Aadirupa Saha

AAAI 2017 Misspecified Linear Bandits Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan

ICML 2017 On Kernelized Multi-Armed Bandits Sayak Ray Chowdhury, Aditya Gopalan

AAAI 2017 Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected Aditya Gopalan, Prashanth L. A., Michael C. Fu, Steven I. Marcus

AAAI 2016 Randomised Procedures for Initialising and Switching Actions in Policy Iteration Shivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan

COLT 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes Aditya Gopalan, Shie Mannor

ICML 2014 Thompson Sampling for Complex Online Problems Aditya Gopalan, Shie Mannor, Yishay Mansour