( en | de | ru )

 

Disambiguation of "Schölkopf, Bernhard"

Author of the publication

copydeleteadd this publication to your clipboard
Elements of Causal Inference: Foundations and Learning Algorithms

, , and . Adaptive Computation and Machine Learning MIT Press, Cambridge, MA, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Bernhard Schölkopf

Hermann Schölkopf

Thomas Schölkopf

Thomas Schölkopf

Martin Schölkopf

 

Other publications of authors with the same name

Unifying distillation and privileged information, , , and . (2015)cite arxiv:1511.03643.Learning Disentangled Representations with Wasserstein Auto-Encoders., , and . ICLR (Workshop), OpenReview.net, (2018)Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement Learning., , , , , and . Robotics: Science and Systems, (2023)ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems., , , , , and . AAAI, page 6364-6371. AAAI Press, (2020)On the Fairness of Disentangled Representations., , , , , and . NeurIPS, page 14584-14597. (2019)Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World., , , , , , , , , and 14 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 133-150. PMLR, (2021)Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers., , , , , , and . CVPR, page 10400-10411. IEEE, (2022)Towards Principled Disentanglement for Domain Generalization., , , , , and . CVPR, page 8014-8024. IEEE, (2022)Algorithmic recourse under imperfect causal knowledge: a probabilistic approach., , , and . NeurIPS, (2020)AutoML Two-Sample Test., , , , and . NeurIPS, (2022)