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ORCIDMaria Dimakopoulou
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2020 – today
- 2023
[c18]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: 571-579- 2022
- [c17]Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu, Zhengyuan Zhou:
Society of Agents: Regret Bounds of Concurrent Thompson Sampling. NeurIPS 2022 - [c16]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: 658-660 - [c15]Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond:
REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. RecSys 2022: 684-685 - [e1]Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou:
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. CEUR Workshop Proceedings 3268, CEUR-WS.org 2022 [contents] - [i9]Claudia V. Roberts, Maria Dimakopoulou, Qifeng Qiao, Ashok Chandrashekar, Tony Jebara:
Selectively Contextual Bandits. CoRR abs/2205.04528 (2022) - 2021
- [c14]Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou:
Online Multi-Armed Bandits with Adaptive Inference. NeurIPS 2021: 1939-1951 - [c13]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: 19261-19273 - [c12]Aurélien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark J. van der Laan:
Post-Contextual-Bandit Inference. NeurIPS 2021: 28548-28559 - [i8]Maria Dimakopoulou, Zhimei Ren, Zhengyuan Zhou:
Doubly-Adaptive Thompson Sampling for Multi-Armed and Contextual Bandits. CoRR abs/2102.13202 (2021) - [i7]Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan:
Post-Contextual-Bandit Inference. CoRR abs/2106.00418 (2021) - [i6]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 abs/2106.01723 (2021) - 2020
- [c11]Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík:
Doubly robust off-policy evaluation with shrinkage. ICML 2020: 9167-9176 - [c10]Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan:
REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. RecSys 2020: 628-629 - [c9]Harald Steck, Maria Dimakopoulou, Nickolai Riabov, Tony Jebara:
ADMM SLIM: Sparse Recommendations for Many Users. WSDM 2020: 555-563
2010 – 2019
- 2019
- [c8]Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens:
Balanced Linear Contextual Bandits. AAAI 2019: 3445-3453 - [c7]Nikos Vlassis, Aurélien Bibaut, Maria Dimakopoulou, Tony Jebara:
On the Design of Estimators for Bandit Off-Policy Evaluation. ICML 2019: 6468-6476 - [c6]Maria Dimakopoulou, Nikos Vlassis, Tony Jebara:
Marginal Posterior Sampling for Slate Bandits. IJCAI 2019: 2223-2229 - [c5]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: 568-569 - [i5]Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudík:
Doubly robust off-policy evaluation with shrinkage. CoRR abs/1907.09623 (2019) - 2018
- [c4]Maria Dimakopoulou, Benjamin Van Roy:
Coordinated Exploration in Concurrent Reinforcement Learning. ICML 2018: 1270-1278 - [c3]Maria Dimakopoulou, Ian Osband, Benjamin Van Roy:
Scalable Coordinated Exploration in Concurrent Reinforcement Learning. NeurIPS 2018: 4223-4232 - [i4]Maria Dimakopoulou, Benjamin Van Roy:
Coordinated Exploration in Concurrent Reinforcement Learning. CoRR abs/1802.01282 (2018) - [i3]Maria Dimakopoulou, Ian Osband, Benjamin Van Roy:
Scalable Coordinated Exploration in Concurrent Reinforcement Learning. CoRR abs/1805.08948 (2018) - [i2]Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens:
Balanced Linear Contextual Bandits. CoRR abs/1812.06227 (2018) - 2017
- [c2]Maria Dimakopoulou, Nicholas Bambos, Martin Valdez-Vivas, John G. Apostolopoulos:
Market-based dynamic service mode switching in virtualized wireless networks. PIMRC 2017: 1-7 - [i1]Maria Dimakopoulou, Susan Athey, Guido Imbens:
Estimation Considerations in Contextual Bandits. CoRR abs/1711.07077 (2017) - 2016
- [c1]Maria Dimakopoulou, Stéphane Eranian, Nectarios Koziris, Nicholas Bambos:
Reliable and efficient performance monitoring in linux. SC 2016: 396-408
Coauthor Index
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