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Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach.

M. Mladenov, E. Creager, O. Ben-Porat, K. Swersky, R. Zemel, и C. Boutilier. ICML, том 119 из Proceedings of Machine Learning Research, стр. 6987-6998. PMLR, (2020)

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Nikolay Mladenov

Kiril Mladenov

Mladen Mladenov

Vladislav Mladenov

Angel Mladenov Ashikov

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Equitable Partitions of Concave Free Energies.M. Mladenov, и K. Kersting. UAI, стр. 602-611. AUAI Press, (2015)Planning and Learning with Stochastic Action Sets.C. Boutilier, A. Cohen, A. Hassidim, Y. Mansour, O. Meshi, M. Mladenov, и D. Schuurmans. IJCAI, стр. 4674-4682. ijcai.org, (2018)RecSim: A Configurable Simulation Platform for Recommender SystemsE. Ie, C. Hsu, M. Mladenov, V. Jain, S. Narvekar, J. Wang, R. Wu, и C. Boutilier. (2019)cite arxiv:1909.04847.Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities.R. Zhan, K. Christakopoulou, Y. Le, J. Ooi, M. Mladenov, A. Beutel, C. Boutilier, E. Chi, и M. Chen. WWW, стр. 3872-3883. ACM / IW3C2, (2021)RELOOP: A Python-Embedded Declarative Language for Relational Optimization.M. Mladenov, D. Heinrich, L. Kleinhans, F. Gonsior, и K. Kersting. AAAI Workshop: Declarative Learning Based Programming, том WS-16-07 из AAAI Technical Report, AAAI Press, (2016)978-1-57735-759-9.Differentiable Meta-Learning of Bandit Policies.C. Boutilier, C. Hsu, B. Kveton, M. Mladenov, C. Szepesvári, и M. Zaheer. NeurIPS, (2020)Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies.C. Hsu, M. Mladenov, O. Meshi, J. Pine, H. Pham, S. Li, X. Liang, A. Polishko, L. Yang, B. Scheetz и 1 other автор(ы). SIGIR, стр. 2925-2929. ACM, (2024)Empirical Bayes Regret Minimization.C. Hsu, B. Kveton, O. Meshi, M. Mladenov, и C. Szepesvári. CoRR, (2019)Dimension Reduction via Colour Refinement.M. Grohe, K. Kersting, M. Mladenov, и E. Selman. ESA, том 8737 из Lecture Notes in Computer Science, стр. 505-516. Springer, (2014)Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems.A. Naik, B. Chang, A. Karatzoglou, M. Mladenov, E. Chi, и M. Chen. WWW (Companion Volume), стр. 966-972. ACM, (2023)

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