Shipra Agrawal

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 44

Top Topics

Reinforcement Learning

Multi Armed Bandit

Dynamic Pricing

Top Venues

Publications

Priyank Agrawal, Shipra Agrawal
Optimistic Q-learning for average reward and episodic reinforcement learning. CoRR (2024)
Shipra Agrawal, Wei Tang
Dynamic Pricing and Learning with Long-term Reference Effects. CoRR (2024)
Shipra Agrawal, Yiding Feng, Wei Tang
Dynamic Pricing and Learning with Bayesian Persuasion. NeurIPS (2023)
Shipra Agrawal, Yiding Feng, Wei Tang
Dynamic Pricing and Learning with Bayesian Persuasion. CoRR (2023)
Shipra Agrawal, Randy Jia
Optimistic Posterior Sampling for Reinforcement Learning: Worst-Case Regret Bounds. Math. Oper. Res. 48 (1) (2023)
Shipra Agrawal, Randy Jia
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. Oper. Res. 70 (3) (2022)
Steven Yin, Shipra Agrawal, Assaf Zeevi
Online Allocation and Learning in the Presence of Strategic Agents. NeurIPS (2022)
Steven Yin, Shipra Agrawal, Assaf Zeevi
Online Allocation and Learning in the Presence of Strategic Agents. CoRR (2022)
Sudeep Raja Putta, Shipra Agrawal
Scale-Free Adversarial Multi Armed Bandits. ALT (2022)
Sudeep Raja Putta, Shipra Agrawal
Scale Free Adversarial Multi Armed Bandits. CoRR (2021)
Shipra Agrawal, Steven Yin, Assaf Zeevi
Dynamic Pricing and Learning under the Bass Model. CoRR (2021)
Shipra Agrawal, Eric Balkanski, Vahab S. Mirrokni, Balasubramanian Sivan
Robust Repeated First Price Auctions. EC (2021)
Shipra Agrawal, Steven Yin, Assaf Zeevi
Dynamic Pricing and Learning under the Bass Model. EC (2021)
Shipra Agrawal, Jay Sethuraman, Xingyu Zhang
On Optimal Ordering in the Optimal Stopping Problem. EC (2020)
Yunhao Tang, Shipra Agrawal
Discretizing Continuous Action Space for On-Policy Optimization. AAAI (2020)
Yunhao Tang, Shipra Agrawal, Yuri Faenza
Reinforcement Learning for Integer Programming: Learning to Cut. ICML (2020)
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. Oper. Res. 67 (5) (2019)
Shipra Agrawal, Jay Sethuraman, Xingyu Zhang
On optimal ordering in the optimal stopping problem. CoRR (2019)
Shipra Agrawal, Randy Jia
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. EC (2019)
Shipra Agrawal, Randy Jia
Learning in structured MDPs with convex cost functions: Improved regret bounds for inventory management. CoRR (2019)
Yunhao Tang, Shipra Agrawal, Yuri Faenza
Reinforcement Learning for Integer Programming: Learning to Cut. CoRR (2019)
Shipra Agrawal, Eric Balkanski, Vahab S. Mirrokni, Balasubramanian Sivan
Dynamic First Price Auctions Robust to Heterogeneous Buyers. CoRR (2019)
Yunhao Tang, Shipra Agrawal
Discretizing Continuous Action Space for On-Policy Optimization. CoRR (2019)
Shipra Agrawal, Mohammad Shadravan, Cliff Stein
Submodular Secretary Problem with Shortlists. ITCS (2019)
Shipra Agrawal, Nikhil R. Devanur
Bandits with Global Convex Constraints and Objective. Oper. Res. 67 (5) (2019)
Shipra Agrawal, Constantinos Daskalakis, Vahab S. Mirrokni, Balasubramanian Sivan
Robust Repeated Auctions under Heterogeneous Buyer Behavior. CoRR (2018)
Yunhao Tang, Shipra Agrawal
Exploration by Distributional Reinforcement Learning. CoRR (2018)
Yunhao Tang, Shipra Agrawal
Exploration by Distributional Reinforcement Learning. IJCAI (2018)
Yunhao Tang, Shipra Agrawal
Implicit Policy for Reinforcement Learning. CoRR (2018)
Yunhao Tang, Shipra Agrawal
Boosting Trust Region Policy Optimization by Normalizing Flows Policy. CoRR (2018)
Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder
Bandits with Delayed, Aggregated Anonymous Feedback. ICML (2018)
Shipra Agrawal, Mohammad Shadravan, Cliff Stein
Submodular Secretary Problem with Shortlists. CoRR (2018)
Shipra Agrawal, Morteza Zadimoghaddam, Vahab S. Mirrokni
Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy. ICML (2018)
Shipra Agrawal, Constantinos Daskalakis, Vahab S. Mirrokni, Balasubramanian Sivan
Robust Repeated Auctions under Heterogeneous Buyer Behavior. EC (2018)
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. CoRR (2017)
Shipra Agrawal, Navin Goyal
Near-Optimal Regret Bounds for Thompson Sampling. J. ACM 64 (5) (2017)
Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder
Bandits with Delayed Anonymous Feedback. CoRR (2017)
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
Thompson Sampling for the MNL-Bandit. COLT (2017)
Shipra Agrawal, Randy Jia
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds. NIPS (2017)
Shipra Agrawal, Randy Jia
Posterior sampling for reinforcement learning: worst-case regret bounds. CoRR (2017)
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
Thompson Sampling for the MNL-Bandit. CoRR (2017)
Shipra Agrawal, Nikhil R. Devanur
Linear Contextual Bandits with Knapsacks. NIPS (2016)
Shipra Agrawal, Nikhil R. Devanur, Lihong Li
An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives. COLT (2016)
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
A Near-Optimal Exploration-Exploitation Approach for Assortment Selection. EC (2016)
Shipra Agrawal, Nikhil R. Devanur
Linear Contextual Bandits with Global Constraints and Objective. CoRR (2015)
Shipra Agrawal, Nikhil R. Devanur, Lihong Li
Contextual Bandits with Global Constraints and Objective. CoRR (2015)
Shipra Agrawal, Nikhil R. Devanur
Fast Algorithms for Online Stochastic Convex Programming. SODA (2015)
Shipra Agrawal, Nikhil R. Devanur
Fast Algorithms for Online Stochastic Convex Programming. CoRR (2014)
Shipra Agrawal, Zizhuo Wang, Yinyu Ye
A Dynamic Near-Optimal Algorithm for Online Linear Programming. Oper. Res. 62 (4) (2014)
Shipra Agrawal, Nikhil R. Devanur
Bandits with concave rewards and convex knapsacks. EC (2014)
Tomás Kocák, Michal Valko, Rémi Munos, Shipra Agrawal
Spectral Thompson Sampling. AAAI (2014)
Shipra Agrawal, Nikhil R. Devanur
Bandits with concave rewards and convex knapsacks. CoRR (2014)
Shipra Agrawal, Navin Goyal
Thompson Sampling for Contextual Bandits with Linear Payoffs. ICML (3) (2013)
Shipra Agrawal, Navin Goyal
Further Optimal Regret Bounds for Thompson Sampling. AISTATS (2013)
Shipra Agrawal, Navin Goyal
Further Optimal Regret Bounds for Thompson Sampling CoRR (2012)
Shipra Agrawal, Navin Goyal
Thompson Sampling for Contextual Bandits with Linear Payoffs CoRR (2012)
Shipra Agrawal, Navin Goyal
Analysis of Thompson Sampling for the Multi-armed Bandit Problem. COLT (2012)
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Ye
Price of Correlations in Stochastic Optimization. Oper. Res. 60 (1) (2012)
Shipra Agrawal, Navin Goyal
Analysis of Thompson Sampling for the multi-armed bandit problem CoRR (2011)
Shipra Agrawal, Erick Delage, Mark Peters, Zizhuo Wang, Yinyu Ye
A Unified Framework for Dynamic Prediction Market Design. Oper. Res. 59 (3) (2011)
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Ye
Correlation Robust Stochastic Optimization. SODA (2010)
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Ye
Distributionally Robust Stochastic Programming with Binary Random Variables CoRR (2009)
Shipra Agrawal, Zizhuo Wang, Yinyu Ye
A Dynamic Near-Optimal Algorithm for Online Linear Programming CoRR (2009)
Shipra Agrawal, Jayant R. Haritsa, B. Aditya Prakash
FRAPP: a framework for high-accuracy privacy-preserving mining. Data Min. Knowl. Discov. 18 (1) (2009)
Shipra Agrawal, Erick Delage, Mark Peters, Zizhuo Wang, Yinyu Ye
A unified framework for dynamic pari-mutuel information market design. EC (2009)
Shipra Agrawal, Zizhuo Wang, Yinyu Ye
Parimutuel Betting on Permutations CoRR (2008)
Shipra Agrawal, Zizhuo Wang, Yinyu Ye
Parimutuel Betting on Permutations. WINE (2008)
Shipra Agrawal, Amin Saberi, Yinyu Ye
Stochastic Combinatorial Optimization under Probabilistic Constraints CoRR (2008)
Shipra Agrawal, K. V. M. Naidu, Rajeev Rastogi
Diagnosing Link-Level Anomalies Using Passive Probes. INFOCOM (2007)
Shipra Agrawal, C. N. Kanthi, K. V. M. Naidu, Jeyashankher Ramamirtham, Rajeev Rastogi, Scott Satkin, Anand Srinivasan
Monitoring infrastructure for converged networks and services. Bell Labs Tech. J. 12 (2) (2007)
Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Rajeev Rastogi
Efficient Detection of Distributed Constraint Violations. ICDE (2007)
Shipra Agrawal, Supratim Deb, K. V. M. Naidu, Rajeev Rastogi
Efficient Detection of Distributed Constraint Violations. COMAD (2006)
Shipra Agrawal, P. P. S. Narayan, Jeyashankher Ramamirtham, Rajeev Rastogi, Mark A. Smith, Ken Swanson, Marina Thottan
VoIP service quality monitoring using active and passive probes. COMSWARE (2006)
Shipra Agrawal, Jayant R. Haritsa
A Framework for High-Accuracy Privacy-Preserving Mining. ICDE (2005)
Shipra Agrawal, Jayant R. Haritsa
A Framework for High-Accuracy Privacy-Preserving Mining CoRR (2004)
Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa
On Addressing Efficiency Concerns in Privacy-Preserving Mining. DASFAA (2004)
Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa
On Addressing Efficiency Concerns in Privacy Preserving Data Mining CoRR (2003)