Agrawal, Shipra

22 publications

ALT 2025 Data Dependent Regret Bounds for Online Portfolio Selection with Predicted Returns Sudeep Raja Putta, Shipra Agrawal

COLT 2025 Optimistic Q-Learning for Average Reward and Episodic Reinforcement Learning Extended Abstract Priyank Agrawal, Shipra Agrawal

COLT 2024 Conference on Learning Theory 2024: Preface Shipra Agrawal, Aaron Roth

ALT 2023 Algorithmic Learning Theory 2023: Preface Shipra Agrawal, Francesco Orabona

NeurIPS 2023 Dynamic Pricing and Learning with Bayesian Persuasion Shipra Agrawal, Yiding Feng, Wei Tang

NeurIPSW 2023 Regret Bounds for Optimistic Follow the Leader: Applications in Portfolio Selection and Linear Regression Sudeep Raja Putta, Shipra Agrawal

NeurIPS 2022 Online Allocation and Learning in the Presence of Strategic Agents Steven Yin, Shipra Agrawal, Assaf J. Zeevi

ALT 2022 Scale-Free Adversarial Multi Armed Bandits Sudeep Raja Putta, Shipra Agrawal

AAAI 2020 Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang, Shipra Agrawal

ICML 2020 Reinforcement Learning for Integer Programming: Learning to Cut Yunhao Tang, Shipra Agrawal, Yuri Faenza

JMLR 2020 Spectral Bandits Tomáš Kocák, Rémi Munos, Branislav Kveton, Shipra Agrawal, Michal Valko

ICML 2018 Bandits with Delayed, Aggregated Anonymous Feedback Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvari, Steffen Grunewalder

IJCAI 2018 Exploration by Distributional Reinforcement Learning Yunhao Tang, Shipra Agrawal

ICML 2018 Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy Shipra Agrawal, Morteza Zadimoghaddam, Vahab Mirrokni

NeurIPS 2017 Optimistic Posterior Sampling for Reinforcement Learning: Worst-Case Regret Bounds Shipra Agrawal, Randy Jia

COLT 2017 Thompson Sampling for the MNL-Bandit Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi

COLT 2016 An Efficient Algorithm for Contextual Bandits with Knapsacks, and an Extension to Concave Objectives Shipra Agrawal, Nikhil R. Devanur, Lihong Li

NeurIPS 2016 Linear Contextual Bandits with Knapsacks Shipra Agrawal, Nikhil Devanur

AAAI 2014 Spectral Thompson Sampling Tomás Kocák, Michal Valko, Rémi Munos, Shipra Agrawal

AISTATS 2013 Further Optimal Regret Bounds for Thompson Sampling Shipra Agrawal, Navin Goyal

ICML 2013 Thompson Sampling for Contextual Bandits with Linear Payoffs Shipra Agrawal, Navin Goyal

COLT 2012 Analysis of Thompson Sampling for the Multi-Armed Bandit Problem Shipra Agrawal, Navin Goyal