Estimating Causal Effects by Bounding Confounding. - Philipp Geiger; Dominik Janzing; Bernhard Schölkopf (UAI, 2014)

Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. - Philipp Geiger; Kun Zhang 001; Bernhard Schölkopf; Mingming Gong; Dominik Janzing (ICML, 2015)

Discovering Temporal Causal Relations from Subsampled Data. - Mingming Gong; Kun Zhang 001; Bernhard Schölkopf; Dacheng Tao; Philipp Geiger (ICML, 2015)

Notes on socio-economic transparency mechanisms. - Philipp Geiger (CoRR, 2016)

Causal models for debugging and control in cloud computing. - Philipp Geiger; Lucian Carata; Bernhard Schölkopf (CoRR, 2016)

Experimental and causal view on information integration in autonomous agents. - Philipp Geiger; Katja Hofmann; Bernhard Schölkopf (CoRR, 2016)

Causal models for decision making via integrative inference. - Philipp Geiger (2017)

Coordination via predictive assistants from a game-theoretic view. - Philipp Geiger; Justus Winkelmann; Claudius Proissl; Michel Besserve; Bernhard Schölkopf (CoRR, 2018)

Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory. - Philipp Geiger; Michel Besserve; Justus Winkelmann; Claudius Proissl; Bernhard Schölkopf (UAI, 2019)

Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift. - Jalal Etesami; Philipp Geiger (AAAI, 2020)

Multiagent trajectory models via game theory and implicit layer-based learning. - Philipp Geiger; Christoph Nikolas Straehle (CoRR, 2020)

Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers. - Philipp Geiger; Christoph-Nikolas Straehle (AAAI, 2021)

Fail-Safe Generative Adversarial Imitation Learning. - Philipp Geiger; Christoph-Nikolas Straehle (CoRR, 2022)

Fail-Safe Adversarial Generative Imitation Learning. - Philipp Geiger; Christoph-Nikolas Straehle (Trans. Mach. Learn. Res., 2022)

On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows. - Jia Yu Tee; Oliver De Candido; Wolfgang Utschick; Philipp Geiger (ITSC, 2023)

Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations. - Matthias Bitzer 001; Reinis Cimurs; Benjamin Coors; Johannes Goth; Sebastian Ziesche; Philipp Geiger; Maximilian Naumann (CoRR, 2024)