Maria Dimakopoulou

31 papers A* 11A 7B 1Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Calibrated Recommendations with Contextual Bandits. CoRR Diego Feijer, Himan Abdollahpouri, Sanket Gupta, Alexander Clare, Yuxiao Wen, Todd Wasson, Maria Dimakopoulou, Zahra Nazari, Kyle Kretschman, Mounia Lalmas
2025	J	`jnl`	Concurrent Learning with Aggregated States via Randomized Least Squares Value Iteration. CoRR Yan Chen, Qinxun Bai, Yiteng Zhang, Shi Dong, Maria Dimakopoulou, Qi Sun, Zhengyuan Zhou
2025	A*	`conf`	Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration. ICML Yan Chen, Qinxun Bai, Yiteng Zhang, Maria Dimakopoulou, Shi Dong, Qi Sun, Zhengyuan Zhou
2023	A	`conf`	Calibrated Recommendations as a Minimum-Cost Flow Problem. WSDM Himan Abdollahpouri, Zahra Nazari, Alex Gain, Clay Gibson, Maria Dimakopoulou, Jesse Anderton, Benjamin A. Carterette, Mounia Lalmas, Tony Jebara
2022	A	`conf`	MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. RecSys Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
2022	—	`ed.`	Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, 18th-23rd September 2022. MORS@RecSys Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou
2022	A	`conf`	REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. RecSys Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond
2022	J	`jnl`	Selectively Contextual Bandits. CoRR Claudia V. Roberts, Maria Dimakopoulou, Qifeng Qiao, Ashok Chandrashekar, Tony Jebara
2022	A*	`conf`	Society of Agents: Regret Bounds of Concurrent Thompson Sampling. NeurIPS Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou
2021	J	`jnl`	Doubly-Adaptive Thompson Sampling for Multi-Armed and Contextual Bandits. CoRR Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou
2021	A*	`conf`	Online Multi-Armed Bandits with Adaptive Inference. NeurIPS Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou
2021	A*	`conf`	Post-Contextual-Bandit Inference. NeurIPS Aurélien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark J. van der Laan
2021	J	`jnl`	Post-Contextual-Bandit Inference. CoRR Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan
2021	A*	`conf`	Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. NeurIPS Aurélien Bibaut, Nathan Kallus, Maria Dimakopoulou, Antoine Chambaz, Mark J. van der Laan
2021	J	`jnl`	Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. CoRR Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan
2020	A	`conf`	ADMM SLIM: Sparse Recommendations for Many Users. WSDM Harald Steck, Maria Dimakopoulou, Nickolai Riabov, Tony Jebara
2020	A*	`conf`	Doubly robust off-policy evaluation with shrinkage. ICML Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík
2020	A	`conf`	REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. RecSys Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan
2019	A*	`conf`	Balanced Linear Contextual Bandits. AAAI Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
2019	J	`jnl`	Doubly robust off-policy evaluation with shrinkage. CoRR Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík
2019	A*	`conf`	Marginal Posterior Sampling for Slate Bandits. IJCAI Maria Dimakopoulou, Nikos Vlassis, Tony Jebara
2019	A*	`conf`	On the Design of Estimators for Bandit Off-Policy Evaluation. ICML Nikos Vlassis, Aurélien Bibaut, Maria Dimakopoulou, Tony Jebara
2019	A	`conf`	REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation. RecSys Thorsten Joachims, Maria Dimakopoulou, Adith Swaminathan, Yves Raimond, Olivier Koch, Flavian Vasile
2018	J	`jnl`	Balanced Linear Contextual Bandits. CoRR Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens
2018	A*	`conf`	Coordinated Exploration in Concurrent Reinforcement Learning. ICML Maria Dimakopoulou, Benjamin Van Roy
2018	J	`jnl`	Coordinated Exploration in Concurrent Reinforcement Learning. CoRR Maria Dimakopoulou, Benjamin Van Roy
2018	A*	`conf`	Scalable Coordinated Exploration in Concurrent Reinforcement Learning. NeurIPS Maria Dimakopoulou, Ian Osband, Benjamin Van Roy
2018	J	`jnl`	Scalable Coordinated Exploration in Concurrent Reinforcement Learning. CoRR Maria Dimakopoulou, Ian Osband, Benjamin Van Roy
2017	J	`jnl`	Estimation Considerations in Contextual Bandits. CoRR Maria Dimakopoulou, Susan Athey, Guido Imbens
2017	B	`conf`	Market-based dynamic service mode switching in virtualized wireless networks. PIMRC Maria Dimakopoulou, Nicholas Bambos, Martin Valdez-Vivas, John G. Apostolopoulos
2016	A	`conf`	Reliable and efficient performance monitoring in linux. SC Maria Dimakopoulou, Stéphane Eranian, Nectarios Koziris, Nicholas Bambos