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Mladenov, Martin
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1

Minimizing Live Experiments in Recommender Systems: User Si..:

, In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval,
Hsu, Chih-Wei ; Mladenov, Martin ; Meshi, Ofer... - p. 2925-2929 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Investigating Action-Space Generalization in Reinforcement ..:

, In: Companion Proceedings of the ACM Web Conference 2023,
Naik, Abhishek ; Chang, Bo ; Karatzoglou, Alexandros... - p. 966-972 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

An adversarial variational inference approach for travel de..:

, In: Proceedings of the 30th International Conference on Advances in Geographic Information Systems,
Mladenov, Martin ; Subramaniam, Sanjay Ganapathy ; Hsu, Chih-wei... - p. 1-4 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

Towards Content Provider Aware Recommender Systems : A S..:

, In: Proceedings of the Web Conference 2021,
Zhan, Ruohan ; Christakopoulou, Konstantina ; Le, Ya... - p. 3872-3883 , 2021
Link: https://dl.acm.org/doi/1..
 
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5

Demonstrating Principled Uncertainty Modeling for Recommend..:

, In: Fourteenth ACM Conference on Recommender Systems,
Mladenov, Martin ; Hsu, Chih-wei ; Jain, Vihan... - p. 591-593 , 2020
Link: https://dl.acm.org/doi/1..
 
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6

Relational linear programming:

Kersting, Kristian ; Mladenov, Martin ; Tokmakov, Pavel
Artificial Intelligence.  244 (2017)  - p. 188-216 , 2017
Link: https://doi.org/10.1016/..
 
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7

Exploiting symmetries for scaling loopy belief propagation ..:

Ahmadi, Babak ; Kersting, Kristian ; Mladenov, Martin.
Machine Learning.  92 (2013)  1 - p. 91-132 , 2013
Link: https://doi.org/10.1007/..
 
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8

Identifying Place Histories from Activity Traces with an Ey..:

Andrienko, Gennady ; Andrienko, Natalia ; Mladenov, Martin..
IEEE Transactions on Visualization and Computer Graphics.  18 (2012)  5 - p. 675-688 , 2012
Link: https://doi.org/10.1109/..
 
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9

A step counter service for Java-enabled devices using a bui..:

, In: Proceedings of the 1st International Workshop on Context-Aware Middleware and Services: affiliated with the 4th International Conference on Communication System Software and Middleware (COMSWARE 2009),
Mladenov, Martin ; Mock, Michael - p. 1-5 , 2009
Link: https://dl.acm.org/doi/1..
 
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10

Reinforcement Learning with History-Dependent Dynamic Conte..:

Tennenholtz, Guy ; Merlis, Nadav ; Shani, Lior..
http://arxiv.org/abs/2302.02061.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Content Prompting: Modeling Content Provider Dynamics to Im..:

Prasad, Siddharth ; Mladenov, Martin ; Boutilier, Craig
http://arxiv.org/abs/2309.00940.  , 2023
Link: http://arxiv.org/abs/230..
 
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12

Reinforcement Learning with History-Dependent Dynamic Conte..:

Tennenholtz, Guy ; Merlis, Nadav ; Shani, Lior..
info:eu-repo/semantics/altIdentifier/arxiv/2302.02061.  , 2023
Link: https://hal.science/hal-..
 
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13

Reinforcement Learning with History-Dependent Dynamic Conte..:

Tennenholtz, Guy ; Merlis, Nadav ; Shani, Lior..
info:eu-repo/semantics/altIdentifier/arxiv/2302.02061.  , 2023
Link: https://hal.science/hal-..
 
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14

Demystifying Embedding Spaces using Large Language Models:

Tennenholtz, Guy ; Chow, Yinlam ; Hsu, Chih-Wei...
http://arxiv.org/abs/2310.04475.  , 2023
Link: http://arxiv.org/abs/231..
 
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15

Modeling Recommender Ecosystems: Research Challenges at the..:

Boutilier, Craig ; Mladenov, Martin ; Tennenholtz, Guy
http://arxiv.org/abs/2309.06375.  , 2023
Link: http://arxiv.org/abs/230..
 
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