Martin Mladenov
Cited by
Cited by
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
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
Exploiting symmetries for scaling loopy belief propagation and relational training
B Ahmadi, K Kersting, M Mladenov, S Natarajan
Machine learning 92, 91-132, 2013
Meta-thompson sampling
B Kveton, M Konobeev, M Zaheer, C Hsu, M Mladenov, C Boutilier, ...
International Conference on Machine Learning, 5884-5893, 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
Dimension reduction via colour refinement
M Grohe, K Kersting, M Mladenov, E Selman
Twenty-second European Symposium on Algorithms, 505-516, 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
Lifted Linear Programming.
M Mladenov, B Ahmadi, K Kersting
Fifteenth International Conference on Artificial Intelligence and Statistics …, 2012
Power Iterated Color Refinement.
K Kersting, M Mladenov, R Garnett, M Grohe
Twenty-Eighth AAAI Conference on Artificial Intelligence, 1904-1910, 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
Color refinement and its applications
M Grohe, K Kersting, M Mladenov, P Schweitzer
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
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
Efficient Lifting of MAP LP Relaxations Using k-Locality.
M Mladenov, K Kersting, A Globerson
Seventeenth International Conference on Artificial Intelligence and …, 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
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
Relational linear programming
K Kersting, M Mladenov, P Tokmakov
Artificial Intelligence 244, 188-216, 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
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
Lifting relational MAP-LPs using cluster signatures
U Apsel, K Kersting, M Mladenov
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
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Articles 1–20