Schoelkopf, Bernhard

8 publications

L4DC 2020 A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control Jia-Jie Zhu, Bernhard Schoelkopf, Moritz Diehl

ICLR 2018 Wasserstein Auto-Encoders Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly, Bernhard Schoelkopf

ICML 2015 Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components Philipp Geiger, Kun Zhang, Bernhard Schoelkopf, Mingming Gong, Dominik Janzing

ICML 2015 Discovering Temporal Causal Relations from Subsampled Data Mingming Gong, Kun Zhang, Bernhard Schoelkopf, Dacheng Tao, Philipp Geiger

ICML 2015 Telling Cause from Effect in Deterministic Linear Dynamical Systems Naji Shajarisales, Dominik Janzing, Bernhard Schoelkopf, Michel Besserve

ICML 2014 Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-Thresholding Algorithm Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schoelkopf

ICML 2014 Kernel Mean Estimation and Stein Effect Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Arthur Gretton, Bernhard Schoelkopf

ICML 2014 Randomized Nonlinear Component Analysis David Lopez-Paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani, Bernhard Schoelkopf