Maria Dimakopoulou

According to our database, Maria Dimakopoulou authored at least 21 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Selectively Contextual Bandits.

Claudia V. Roberts, Maria Dimakopoulou, Qifeng Qiao, Ashok Chandrashekar, Tony Jebara

CoRR, 2022

REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale.

Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 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

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Society of Agents: Regret Bounds of Concurrent Thompson Sampling.

Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Doubly-Adaptive Thompson Sampling for Multi-Armed and Contextual Bandits.

Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou

CoRR, 2021

Online Multi-Armed Bandits with Adaptive Inference.

Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Post-Contextual-Bandit Inference.

Aurélien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark J. van der Laan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

ADMM SLIM: Sparse Recommendations for Many Users.

Harald Steck, Maria Dimakopoulou, Nickolai Riabov, Tony Jebara

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

REVEAL 2020: Bandit and Reinforcement Learning from User Interactions.

Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Doubly robust off-policy evaluation with shrinkage.

Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík

Proceedings of the 37th International Conference on Machine Learning, 2020

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

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Marginal Posterior Sampling for Slate Bandits.

Maria Dimakopoulou, Nikos Vlassis, Tony Jebara

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Design of Estimators for Bandit Off-Policy Evaluation.

Nikos Vlassis, Aurélien Bibaut, Maria Dimakopoulou, Tony Jebara

Proceedings of the 36th International Conference on Machine Learning, 2019

Balanced Linear Contextual Bandits.

Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Scalable Coordinated Exploration in Concurrent Reinforcement Learning.

Maria Dimakopoulou, Ian Osband, Benjamin Van Roy

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Coordinated Exploration in Concurrent Reinforcement Learning.

Maria Dimakopoulou, Benjamin Van Roy

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Estimation Considerations in Contextual Bandits.

Maria Dimakopoulou, Susan Athey, Guido Imbens

CoRR, 2017

Market-based dynamic service mode switching in virtualized wireless networks.

Maria Dimakopoulou, Nicholas Bambos, Martin Valdez-Vivas, John G. Apostolopoulos

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

2016

Reliable and efficient performance monitoring in linux.

Maria Dimakopoulou, Stéphane Eranian, Nectarios Koziris, Nicholas Bambos

Proceedings of the International Conference for High Performance Computing, 2016