Causal inference by identification of vector autoregressive processes with hidden components P Geiger, K Zhang, B Schoelkopf, M Gong, D Janzing International Conference on Machine Learning (ICML) 2015, 2015 | 55 | 2015 |
Discovering temporal causal relations from subsampled data M Gong, K Zhang, B Schoelkopf, D Tao, P Geiger International Conference on Machine Learning (ICML) 2015, 2015 | 52 | 2015 |
Estimating Causal Effects by Bounding Confounding P Geiger, D Janzing, B Schölkopf UAI 2014, 2014 | 11 | 2014 |
Experimental and causal view on information integration in autonomous agents P Geiger, K Hofmann, B Schölkopf 6th International Workshop on Combinations of Intelligent Methods and …, 2016 | 5 | 2016 |
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift J Etesami, P Geiger AAAI 2020, 2020 | 2 | 2020 |
Causal inference for data-driven debugging and decision making in cloud computing P Geiger, L Carata, B Schölkopf arXiv preprint arXiv:1603.01581, 2016 | 2* | 2016 |
Mutual information and Gödel incompleteness P Geiger Fakultät für Mathematik und Informatik, Ruprecht-Karls-Universität Heidelberg, 2012 | 2 | 2012 |
Learning game-theoretic models of multiagent trajectories using implicit layers P Geiger, CN Straehle AAAI 2021, 2021 | | 2021 |
Coordinating users of shared facilities via data-driven predictive assistants and game theory P Geiger, M Besserve, J Winkelmann, C Proissl, B Schölkopf UAI 2019, 2019 | | 2019 |
Causal models for decision making via integrative inference P Geiger University of Stuttgart, 2017 | | 2017 |