More from the Same Authors

• 2021 : Representation Learning for Out-of-distribution Generalization in Downstream Tasks »
  Frederik Träuble · Andrea Dittadi · Manuel Wuthrich · Felix Widmaier · Peter V Gehler · Ole Winther · Francesco Locatello · Olivier Bachem · Bernhard Schölkopf · Stefan Bauer
• 2021 : Representation Learning for Out-of-distribution Generalization in Downstream Tasks »
  Frederik Träuble · Andrea Dittadi · Manuel Wüthrich · Felix Widmaier · Peter Gehler · Ole Winther · Francesco Locatello · Olivier Bachem · Bernhard Schölkopf · Stefan Bauer
• 2022 : Latent Variable Models for Bayesian Causal Discovery »
  Jithendaraa Subramanian · Jithendaraa Subramanian · Yashas Annadani · Ivaxi Sheth · Stefan Bauer · Derek Nowrouzezahrai · Samira Ebrahimi Kahou
• 2022 : On the Generalization and Adaption Performance of Causal Models »
  Nino Scherrer · Anirudh Goyal · Stefan Bauer · Yoshua Bengio · Rosemary Nan Ke
• 2022 Poster: Adaptive Gaussian Process Change Point Detection »
  Edoardo Caldarelli · Philippe Wenk · Stefan Bauer · Andreas Krause
• 2022 Spotlight: Adaptive Gaussian Process Change Point Detection »
  Edoardo Caldarelli · Philippe Wenk · Stefan Bauer · Andreas Krause
• 2022 : Q&A »
  Nan Rosemary Ke · Stefan Bauer
• 2022 Tutorial: Causality and Deep Learning: Synergies, Challenges and the Future »
  Nan Rosemary Ke · Stefan Bauer
• 2021 Poster: Function Contrastive Learning of Transferable Meta-Representations »
  Muhammad Waleed Gondal · Shruti Joshi · Nasim Rahaman · Stefan Bauer · Manuel Wuthrich · Bernhard Schölkopf
• 2021 Spotlight: Function Contrastive Learning of Transferable Meta-Representations »
  Muhammad Waleed Gondal · Shruti Joshi · Nasim Rahaman · Stefan Bauer · Manuel Wuthrich · Bernhard Schölkopf
• 2020 Workshop: Inductive Biases, Invariances and Generalization in Reinforcement Learning »
  Anirudh Goyal · Rosemary Nan Ke · Jane Wang · Stefan Bauer · Theophane Weber · Fabio Viola · Bernhard Schölkopf · Stefan Bauer