Reliable and efficient performance monitoring in linux. - Maria Dimakopoulou; Stéphane Eranian; Nectarios Koziris; Nicholas Bambos (SC, 2016)

Market-based dynamic service mode switching in virtualized wireless networks. - Maria Dimakopoulou; Nicholas Bambos; Martin Valdez-Vivas; John G. Apostolopoulos (PIMRC, 2017)

Estimation Considerations in Contextual Bandits. - Maria Dimakopoulou; Susan Athey; Guido Imbens (CoRR, 2017)

Coordinated Exploration in Concurrent Reinforcement Learning. - Maria Dimakopoulou; Benjamin Van Roy (ICML, 2018)

Scalable Coordinated Exploration in Concurrent Reinforcement Learning. - Maria Dimakopoulou; Ian Osband; Benjamin Van Roy (NeurIPS, 2018)

Balanced Linear Contextual Bandits. - Maria Dimakopoulou; Zhengyuan Zhou; Susan Athey; Guido Imbens (AAAI, 2019)

On the Design of Estimators for Bandit Off-Policy Evaluation. - Nikos Vlassis; Aurélien Bibaut; Maria Dimakopoulou; Tony Jebara (ICML, 2019)

Marginal Posterior Sampling for Slate Bandits. - Maria Dimakopoulou; Nikos Vlassis; Tony Jebara (IJCAI, 2019)

REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation. - Thorsten Joachims; Maria Dimakopoulou; Adith Swaminathan; Yves Raimond; Olivier Koch; Flavian Vasile (RecSys, 2019)

Doubly robust off-policy evaluation with shrinkage. - Yi Su; Maria Dimakopoulou; Akshay Krishnamurthy; Miroslav Dudík (ICML, 2020)

REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. - Thorsten Joachims; Yves Raimond; Olivier Koch; Maria Dimakopoulou; Flavian Vasile; Adith Swaminathan (RecSys, 2020)

ADMM SLIM: Sparse Recommendations for Many Users. - Harald Steck; Maria Dimakopoulou; Nickolai Riabov; Tony Jebara (WSDM, 2020)

Post-Contextual-Bandit Inference. - Aurélien Bibaut; Maria Dimakopoulou; Nathan Kallus; Antoine Chambaz; Mark J. van der Laan (NeurIPS, 2021)

Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. - Aurélien Bibaut; Nathan Kallus; Maria Dimakopoulou; Antoine Chambaz; Mark J. van der Laan (NeurIPS, 2021)

Online Multi-Armed Bandits with Adaptive Inference. - Maria Dimakopoulou; Zhimei Ren; Zhengyuan Zhou (NeurIPS, 2021)

Doubly-Adaptive Thompson Sampling for Multi-Armed and Contextual Bandits. - Maria Dimakopoulou; Zhimei Ren; Zhengyuan Zhou (CoRR, 2021)

Society of Agents: Regret Bounds of Concurrent Thompson Sampling. - Yan Chen; Perry Dong; Qinxun Bai; Maria Dimakopoulou; Wei Xu 017; Zhengyuan Zhou (NeurIPS, 2022)

MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. - Himan Abdollahpouri; Shaghayegh Sahebi; Mehdi Elahi; Masoud Mansoury; Babak Loni; Zahra Nazari; Maria Dimakopoulou (RecSys, 2022)

REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. - Richard Liaw; Paige Bailey; Ying Li; Maria Dimakopoulou; Yves Raimond (RecSys, 2022)

Selectively Contextual Bandits. - Claudia V. Roberts; Maria Dimakopoulou; Qifeng Qiao; Ashok Chandrashekar; Tony Jebara (CoRR, 2022)

Calibrated Recommendations as a Minimum-Cost Flow Problem. - Himan Abdollahpouri; Zahra Nazari; Alex Gain; Clay Gibson; Maria Dimakopoulou; Jesse Anderton; Benjamin A. Carterette; Mounia Lalmas; Tony Jebara (WSDM, 2023)

Concurrent Learning with Aggregated States via Randomized Least Squares Value Iteration. - Yan Chen; Qinxun Bai; Yiteng Zhang; Shi Dong; Maria Dimakopoulou; Qi Sun; Zhengyuan Zhou (CoRR, 2025)