Shipra Agrawal

88 papers A* 27A 3B 4Misc 1Journal 47Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simple and Robust Quality Disclosure: The Power of Quantile Partition. CoRR Shipra Agrawal, Yiding Feng, Wei Tang
2026	J	`jnl`	Thompson Sampling for the Multinomial Logit Bandit. Math. Oper. Res. Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2025	B	`conf`	Data Dependent Regret Bounds for Online Portfolio Selection with Predicted Returns. ALT Sudeep Raja Putta, Shipra Agrawal
2025	A	`ed.`	International Conference on Artificial Intelligence and Statistics, AISTATS 2025, Mai Khao, Thailand, 3-5 May 2025. AISTATS Yingzhen Li, Stephan Mandt, Shipra Agrawal, Mohammad Emtiyaz Khan
2025	A*	`conf`	Optimistic Q-learning for average reward and episodic reinforcement learning extended abstract. COLT Priyank Agrawal, Shipra Agrawal
2025	J	`jnl`	Q-learning with Posterior Sampling. CoRR Priyank Agrawal, Shipra Agrawal, Azmat Azati
2025	J	`jnl`	Reinforcement Learning in MDPs with Information-Ordered Policies. CoRR Zhongjun Zhang, Shipra Agrawal, Ilan Lobel, Sean R. Sinclair, Christina Lee Yu
2024	A*	`conf`	Dynamic Pricing and Learning with Long-term Reference Effects. EC Shipra Agrawal, Wei Tang
2024	J	`jnl`	Dynamic Pricing and Learning with Long-term Reference Effects. CoRR Shipra Agrawal, Wei Tang
2024	J	`jnl`	Optimistic Q-learning for average reward and episodic reinforcement learning. CoRR Priyank Agrawal, Shipra Agrawal
2024	A*	`ed.`	The Thirty Seventh Annual Conference on Learning Theory, June 30 - July 3, 2023, Edmonton, Canada. COLT Shipra Agrawal, Aaron Roth
2023	A*	`conf`	Dynamic Pricing and Learning with Bayesian Persuasion. NeurIPS Shipra Agrawal, Yiding Feng, Wei Tang
2023	J	`jnl`	Dynamic Pricing and Learning with Bayesian Persuasion. CoRR Shipra Agrawal, Yiding Feng, Wei Tang
2023	B	`ed.`	International Conference on Algorithmic Learning Theory, February 20-23, 2023, Singapore. ALT Shipra Agrawal, Francesco Orabona
2023	J	`jnl`	Optimistic Posterior Sampling for Reinforcement Learning: Worst-Case Regret Bounds. Math. Oper. Res. Shipra Agrawal, Randy Jia
2022	J	`jnl`	Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. Oper. Res. Shipra Agrawal, Randy Jia
2022	A*	`conf`	Online Allocation and Learning in the Presence of Strategic Agents. NeurIPS Steven Yin, Shipra Agrawal, Assaf Zeevi
2022	J	`jnl`	Online Allocation and Learning in the Presence of Strategic Agents. CoRR Steven Yin, Shipra Agrawal, Assaf Zeevi
2022	B	`conf`	Scale-Free Adversarial Multi Armed Bandits. ALT Sudeep Raja Putta, Shipra Agrawal
2021	A*	`conf`	Dynamic Pricing and Learning under the Bass Model. EC Shipra Agrawal, Steven Yin, Assaf Zeevi
2021	J	`jnl`	Dynamic Pricing and Learning under the Bass Model. CoRR Shipra Agrawal, Steven Yin, Assaf Zeevi
2021	A*	`conf`	Robust Repeated First Price Auctions. EC Shipra Agrawal, Eric Balkanski, Vahab S. Mirrokni, Balasubramanian Sivan
2021	J	`jnl`	Scale Free Adversarial Multi Armed Bandits. CoRR Sudeep Raja Putta, Shipra Agrawal
2020	A*	`conf`	Discretizing Continuous Action Space for On-Policy Optimization. AAAI Yunhao Tang, Shipra Agrawal
2020	A*	`conf`	On Optimal Ordering in the Optimal Stopping Problem. EC Shipra Agrawal, Jay Sethuraman, Xingyu Zhang
2020	A*	`conf`	Reinforcement Learning for Integer Programming: Learning to Cut. ICML Yunhao Tang, Shipra Agrawal, Yuri Faenza
2019	J	`jnl`	Bandits with Global Convex Constraints and Objective. Oper. Res. Shipra Agrawal, Nikhil R. Devanur
2019	J	`jnl`	Discretizing Continuous Action Space for On-Policy Optimization. CoRR Yunhao Tang, Shipra Agrawal
2019	J	`jnl`	Dynamic First Price Auctions Robust to Heterogeneous Buyers. CoRR Shipra Agrawal, Eric Balkanski, Vahab S. Mirrokni, Balasubramanian Sivan
2019	A*	`conf`	Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. EC Shipra Agrawal, Randy Jia
2019	J	`jnl`	Learning in structured MDPs with convex cost functions: Improved regret bounds for inventory management. CoRR Shipra Agrawal, Randy Jia
2019	J	`jnl`	MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. Oper. Res. Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2019	J	`jnl`	On optimal ordering in the optimal stopping problem. CoRR Shipra Agrawal, Jay Sethuraman, Xingyu Zhang
2019	J	`jnl`	Reinforcement Learning for Integer Programming: Learning to Cut. CoRR Yunhao Tang, Shipra Agrawal, Yuri Faenza
2019	A	`conf`	Submodular Secretary Problem with Shortlists. ITCS Shipra Agrawal, Mohammad Shadravan, Cliff Stein
2018	A*	`conf`	Bandits with Delayed, Aggregated Anonymous Feedback. ICML Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder
2018	J	`jnl`	Boosting Trust Region Policy Optimization by Normalizing Flows Policy. CoRR Yunhao Tang, Shipra Agrawal
2018	A*	`conf`	Exploration by Distributional Reinforcement Learning. IJCAI Yunhao Tang, Shipra Agrawal
2018	J	`jnl`	Exploration by Distributional Reinforcement Learning. CoRR Yunhao Tang, Shipra Agrawal
2018	J	`jnl`	Implicit Policy for Reinforcement Learning. CoRR Yunhao Tang, Shipra Agrawal
2018	A*	`conf`	Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy. ICML Shipra Agrawal, Morteza Zadimoghaddam, Vahab S. Mirrokni
2018	A*	`conf`	Robust Repeated Auctions under Heterogeneous Buyer Behavior. EC Shipra Agrawal, Constantinos Daskalakis, Vahab S. Mirrokni, Balasubramanian Sivan
2018	J	`jnl`	Robust Repeated Auctions under Heterogeneous Buyer Behavior. CoRR Shipra Agrawal, Constantinos Daskalakis, Vahab S. Mirrokni, Balasubramanian Sivan
2018	J	`jnl`	Submodular Secretary Problem with Shortlists. CoRR Shipra Agrawal, Mohammad Shadravan, Cliff Stein
2017	J	`jnl`	Bandits with Delayed Anonymous Feedback. CoRR Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder
2017	J	`jnl`	MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. CoRR Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2017	J	`jnl`	Near-Optimal Regret Bounds for Thompson Sampling. J. ACM Shipra Agrawal, Navin Goyal
2017	—	`conf`	Optimistic posterior sampling for reinforcement learning: worst-case regret bounds. NIPS Shipra Agrawal, Randy Jia
2017	J	`jnl`	Posterior sampling for reinforcement learning: worst-case regret bounds. CoRR Shipra Agrawal, Randy Jia
2017	A*	`conf`	Thompson Sampling for the MNL-Bandit. COLT Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2017	J	`jnl`	Thompson Sampling for the MNL-Bandit. CoRR Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2016	A*	`conf`	A Near-Optimal Exploration-Exploitation Approach for Assortment Selection. EC Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2016	A*	`conf`	An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives. COLT Shipra Agrawal, Nikhil R. Devanur, Lihong Li
2016	—	`conf`	Linear Contextual Bandits with Knapsacks. NIPS Shipra Agrawal, Nikhil R. Devanur
2015	J	`jnl`	Contextual Bandits with Global Constraints and Objective. CoRR Shipra Agrawal, Nikhil R. Devanur, Lihong Li
2015	A*	`conf`	Fast Algorithms for Online Stochastic Convex Programming. SODA Shipra Agrawal, Nikhil R. Devanur
2015	J	`jnl`	Linear Contextual Bandits with Global Constraints and Objective. CoRR Shipra Agrawal, Nikhil R. Devanur
2014	J	`jnl`	A Dynamic Near-Optimal Algorithm for Online Linear Programming. Oper. Res. Shipra Agrawal, Zizhuo Wang, Yinyu Ye
2014	A*	`conf`	Bandits with concave rewards and convex knapsacks. EC Shipra Agrawal, Nikhil R. Devanur
2014	J	`jnl`	Bandits with concave rewards and convex knapsacks. CoRR Shipra Agrawal, Nikhil R. Devanur
2014	J	`jnl`	Fast Algorithms for Online Stochastic Convex Programming. CoRR Shipra Agrawal, Nikhil R. Devanur
2014	A*	`conf`	Spectral Thompson Sampling. AAAI Tomás Kocák, Michal Valko, Rémi Munos, Shipra Agrawal
2013	A	`conf`	Further Optimal Regret Bounds for Thompson Sampling. AISTATS Shipra Agrawal, Navin Goyal
2013	—	`conf`	Thompson Sampling for Contextual Bandits with Linear Payoffs. ICML (3) Shipra Agrawal, Navin Goyal
2012	A*	`conf`	Analysis of Thompson Sampling for the Multi-armed Bandit Problem. COLT Shipra Agrawal, Navin Goyal
2012	J	`jnl`	Further Optimal Regret Bounds for Thompson Sampling CoRR Shipra Agrawal, Navin Goyal
2012	J	`jnl`	Price of Correlations in Stochastic Optimization. Oper. Res. Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Ye
2012	J	`jnl`	Thompson Sampling for Contextual Bandits with Linear Payoffs CoRR Shipra Agrawal, Navin Goyal
2011	J	`jnl`	A Unified Framework for Dynamic Prediction Market Design. Oper. Res. Shipra Agrawal, Erick Delage, Mark Peters, Zizhuo Wang, Yinyu Ye
2011	J	`jnl`	Analysis of Thompson Sampling for the multi-armed bandit problem CoRR Shipra Agrawal, Navin Goyal
2011	—	`—`	Optimization under uncertainty: bounding the correlation gap. Shipra Agrawal
2010	A*	`conf`	Correlation Robust Stochastic Optimization. SODA Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Ye
2009	J	`jnl`	A Dynamic Near-Optimal Algorithm for Online Linear Programming CoRR Shipra Agrawal, Zizhuo Wang, Yinyu Ye
2009	A*	`conf`	A unified framework for dynamic pari-mutuel information market design. EC Shipra Agrawal, Erick Delage, Mark Peters, Zizhuo Wang, Yinyu Ye
2009	J	`jnl`	Distributionally Robust Stochastic Programming with Binary Random Variables CoRR Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Ye
2009	J	`jnl`	FRAPP: a framework for high-accuracy privacy-preserving mining. Data Min. Knowl. Discov. Shipra Agrawal, Jayant R. Haritsa, B. Aditya Prakash
2008	J	`jnl`	Parimutuel Betting on Permutations CoRR Shipra Agrawal, Zizhuo Wang, Yinyu Ye
2008	—	`conf`	Parimutuel Betting on Permutations. WINE Shipra Agrawal, Zizhuo Wang, Yinyu Ye
2008	J	`jnl`	Stochastic Combinatorial Optimization under Probabilistic Constraints CoRR Shipra Agrawal, Amin Saberi, Yinyu Ye
2007	A*	`conf`	Diagnosing Link-Level Anomalies Using Passive Probes. INFOCOM Shipra Agrawal, K. V. M. Naidu, Rajeev Rastogi
2007	A*	`conf`	Efficient Detection of Distributed Constraint Violations. ICDE Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Rajeev Rastogi
2007	J	`jnl`	Monitoring infrastructure for converged networks and services. Bell Labs Tech. J. Shipra Agrawal, C. N. Kanthi, K. V. M. Naidu, Jeyashankher Ramamirtham, Rajeev Rastogi, Scott Satkin, Anand Srinivasan
2006	Misc	`conf`	Efficient Detection of Distributed Constraint Violations. COMAD Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Rajeev Rastogi
2006	—	`conf`	VoIP service quality monitoring using active and passive probes. COMSWARE Shipra Agrawal, P. P. S. Narayan, Jeyashankher Ramamirtham, Rajeev Rastogi, Mark A. Smith, Ken Swanson, Marina Thottan
2005	A*	`conf`	A Framework for High-Accuracy Privacy-Preserving Mining. ICDE Shipra Agrawal, Jayant R. Haritsa
2004	J	`jnl`	A Framework for High-Accuracy Privacy-Preserving Mining CoRR Shipra Agrawal, Jayant R. Haritsa
2004	B	`conf`	On Addressing Efficiency Concerns in Privacy-Preserving Mining. DASFAA Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa
2003	J	`jnl`	On Addressing Efficiency Concerns in Privacy Preserving Data Mining CoRR Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa