Maria Dimakopoulou

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 27

Top Topics

Recommender Systems

Robust Estimators

Reinforcement Learning

Multi Armed Bandits

Top Venues

Publications

Himan Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin A. Carterette, Mounia Lalmas, Tony Jebara
Calibrated Recommendations as a Minimum-Cost Flow Problem. WSDM (2023)
Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou
Society of Agents: Regret Bounds of Concurrent Thompson Sampling. NeurIPS (2022)
Claudia V. Roberts, Maria Dimakopoulou, Qifeng Qiao, Ashok Chandrashekar, Tony Jebara
Selectively Contextual Bandits. CoRR (2022)
Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond
REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. RecSys (2022)
Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. RecSys (2022)
Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. CoRR (2021)
Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou
Online Multi-Armed Bandits with Adaptive Inference. NeurIPS (2021)
Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou
Doubly-Adaptive Thompson Sampling for Multi-Armed and Contextual Bandits. CoRR (2021)
Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan
Post-Contextual-Bandit Inference. CoRR (2021)
Aurélien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark J. van der Laan
Post-Contextual-Bandit Inference. NeurIPS (2021)
Aurélien Bibaut, Nathan Kallus, Maria Dimakopoulou, Antoine Chambaz, Mark J. van der Laan
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. NeurIPS (2021)
Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík
Doubly robust off-policy evaluation with shrinkage. ICML (2020)
Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan
REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. RecSys (2020)
Harald Steck, Maria Dimakopoulou, Nickolai Riabov, Tony Jebara
ADMM SLIM: Sparse Recommendations for Many Users. WSDM (2020)
Thorsten Joachims, Maria Dimakopoulou, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile
REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation. RecSys (2019)
Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík
Doubly robust off-policy evaluation with shrinkage. CoRR (2019)
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
Balanced Linear Contextual Bandits. AAAI (2019)
Nikos Vlassis, Aurélien Bibaut, Maria Dimakopoulou, Tony Jebara
On the Design of Estimators for Bandit Off-Policy Evaluation. ICML (2019)
Maria Dimakopoulou, Nikos Vlassis, Tony Jebara
Marginal Posterior Sampling for Slate Bandits. IJCAI (2019)
Maria Dimakopoulou, Ian Osband, Benjamin Van Roy
Scalable Coordinated Exploration in Concurrent Reinforcement Learning. NeurIPS (2018)
Maria Dimakopoulou, Benjamin Van Roy
Coordinated Exploration in Concurrent Reinforcement Learning. CoRR (2018)
Maria Dimakopoulou, Ian Osband, Benjamin Van Roy
Scalable Coordinated Exploration in Concurrent Reinforcement Learning. CoRR (2018)
Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
Balanced Linear Contextual Bandits. CoRR (2018)
Maria Dimakopoulou, Benjamin Van Roy
Coordinated Exploration in Concurrent Reinforcement Learning. ICML (2018)
Maria Dimakopoulou, Susan Athey, Guido Imbens
Estimation Considerations in Contextual Bandits. CoRR (2017)
Maria Dimakopoulou, Nicholas Bambos, Martin Valdez-Vivas, John G. Apostolopoulos
Market-based dynamic service mode switching in virtualized wireless networks. PIMRC (2017)
Maria Dimakopoulou, Stéphane Eranian, Nectarios Koziris, Nicholas Bambos
Reliable and efficient performance monitoring in linux. SC (2016)