| Recsim: A configurable simulation platform for recommender systems E Ie, C Hsu, M Mladenov, V Jain, S Narvekar, J Wang, R Wu, C Boutilier arXiv preprint arXiv:1909.04847, 2019 | 160 | 2019 |
| A step counter service for Java-enabled devices using a built-in accelerometer M Mladenov, M Mock Proceedings of the 1st international workshop on context-aware middleware …, 2009 | 150 | 2009 |
| Exploiting symmetries for scaling loopy belief propagation and relational training B Ahmadi, K Kersting, M Mladenov, S Natarajan Machine learning 92, 91-132, 2013 | 95 | 2013 |
| Meta-thompson sampling B Kveton, M Konobeev, M Zaheer, C Hsu, M Mladenov, C Boutilier, ... International Conference on Machine Learning, 5884-5893, 2021 | 66 | 2021 |
| Optimizing long-term social welfare in recommender systems: A constrained matching approach M Mladenov, E Creager, O Ben-Porat, K Swersky, R Zemel, C Boutilier International Conference on Machine Learning, 6987-6998, 2020 | 62 | 2020 |
| Dimension reduction via colour refinement M Grohe, K Kersting, M Mladenov, E Selman Twenty-second European Symposium on Algorithms, 505-516, 2014 | 61 | 2014 |
| Discovering bits of place histories from people's activity traces G Andrienko, N Andrienko, M Mladenov, M Mock, C Pölitz 2010 IEEE symposium on visual analytics science and technology, 59-66, 2010 | 55 | 2010 |
| Lifted Linear Programming. M Mladenov, B Ahmadi, K Kersting Fifteenth International Conference on Artificial Intelligence and Statistics …, 2012 | 53 | 2012 |
| Power Iterated Color Refinement. K Kersting, M Mladenov, R Garnett, M Grohe Twenty-Eighth AAAI Conference on Artificial Intelligence, 1904-1910, 2014 | 49 | 2014 |
| Identifying place histories from activity traces with an eye to parameter impact G Andrienko, N Andrienko, M Mladenov, M Mock, C Politz IEEE Transactions on Visualization and Computer Graphics 18 (5), 675-688, 2011 | 47 | 2011 |
| Color refinement and its applications M Grohe, K Kersting, M Mladenov, P Schweitzer | 34* | 2021 |
| Efficient symbolic integration for probabilistic inference S Kolb, M Mladenov, S Sanner, V Belle, K Kersting 27th International Joint Conference on Artificial Intelligence: IJCAI 2018 …, 2018 | 32 | 2018 |
| Extracting events from spatial time series G Andrienko, N Andrienko, M Mladenov, M Mock, C Poelitz 2010 14th International Conference Information Visualisation, 48-53, 2010 | 32 | 2010 |
| Efficient Lifting of MAP LP Relaxations Using k-Locality. M Mladenov, K Kersting, A Globerson Seventeenth International Conference on Artificial Intelligence and …, 2014 | 30 | 2014 |
| Recsim ng: Toward principled uncertainty modeling for recommender ecosystems M Mladenov, CW Hsu, V Jain, E Ie, C Colby, N Mayoraz, H Pham, D Tran, ... arXiv preprint arXiv:2103.08057, 2021 | 27 | 2021 |
| Planning and learning with stochastic action sets C Boutilier, A Cohen, A Daniely, A Hassidim, Y Mansour, O Meshi, ... arXiv preprint arXiv:1805.02363, 2018 | 26 | 2018 |
| Relational linear programming K Kersting, M Mladenov, P Tokmakov Artificial Intelligence 244, 188-216, 2017 | 25 | 2017 |
| Differentiable meta-learning of bandit policies C Boutilier, C Hsu, B Kveton, M Mladenov, C Szepesvari, M Zaheer Advances in Neural Information Processing Systems 33, 2122-2134, 2020 | 24 | 2020 |
| RecSim: A Configurable Simulation Platform for Recommender Systems.(2019) E Ie, C wei Hsu, M Mladenov, V Jain, S Narvekar, J Wang, R Wu, ... arXiv preprint arXiv:1909.04847, 2019 | 21 | 2019 |
| Lifting relational MAP-LPs using cluster signatures U Apsel, K Kersting, M Mladenov Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 21 | 2014 |
