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Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation

Dec 16, 2020
Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf

* Neural Information Processing Systems Workshop on Offline Reinforcement Learning 

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COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing

Oct 30, 2020
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St. Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Pal, Joanna Merckx, Eilif B. Muller, Yoshua Bengio


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On the Transfer of Disentangled Representations in Realistic Settings

Oct 27, 2020
Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schölkopf


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A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation

Oct 27, 2020
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem

* Journal of Machine Learning Research 2020, Volume 21, Number 209 
* arXiv admin note: substantial text overlap with arXiv:1811.12359 

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Predicting Infectiousness for Proactive Contact Tracing

Oct 23, 2020
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilanuik, David Buckeridge, Gáetan Marceau Caron, Pierre-Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams


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Maximum Moment Restriction for Instrumental Variable Regression

Oct 15, 2020
Rui Zhang, Masaaki Imaizumi, Bernhard Schölkopf, Krikamol Muandet

* 30 pages 

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Function Contrastive Learning of Transferable Representations

Oct 14, 2020
Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel Wüthrich, Bernhard Schölkopf


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On the Fairness of Causal Algorithmic Recourse

Oct 14, 2020
Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf


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Physically constrained causal noise models for high-contrast imaging of exoplanets

Oct 12, 2020
Timothy D. Gebhard, Markus J. Bonse, Sascha P. Quanz, Bernhard Schölkopf

* Submitted to the "Machine Learning and the Physical Sciences" workshop at NeurIPS 2020. 8 pages, 6 figures 

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CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Oct 08, 2020
Ossama Ahmed, Frederik Träuble, Anirudh Goyal, Alexander Neitz, Manuel Wüthrich, Yoshua Bengio, Bernhard Schölkopf, Stefan Bauer

* The first two authors contributed equally 

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A survey of algorithmic recourse: definitions, formulations, solutions, and prospects

Oct 08, 2020
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera


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Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning

Oct 07, 2020
Sumedh A. Sontakke, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf


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Learning explanations that are hard to vary

Sep 05, 2020
Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schölkopf

* From v0: extended experiment in Section 3.1, Figure 7 (multiple thresholds and XOR mask) 

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Real-time Prediction of COVID-19 related Mortality using Electronic Health Records

Aug 31, 2020
Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer


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Learning Dynamical Systems using Local Stability Priors

Aug 23, 2020
Arash Mehrjou, Andrea Iannelli, Bernhard Schölkopf


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TriFinger: An Open-Source Robot for Learning Dexterity

Aug 08, 2020
Manuel Wüthrich, Felix Widmaier, Felix Grimminger, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Bernhard Schölkopf, Stefan Bauer


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Geometrically Enriched Latent Spaces

Aug 02, 2020
Georgios Arvanitidis, Søren Hauberg, Bernhard Schölkopf


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A Commentary on the Unsupervised Learning of Disentangled Representations

Jul 28, 2020
Francesco Locatello, Stefan Bauer, Mario Lucic, Gunnar Rätsch, Sylvain Gelly, Bernhard Schölkopf, Olivier Bachem

* The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 (AAAI-20) 

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S2RMs: Spatially Structured Recurrent Modules

Jul 13, 2020
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf


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Causal Feature Selection via Orthogonal Search

Jul 06, 2020
Anant Raj, Stefan Bauer, Ashkan Soleymani, Michel Besserve, Bernhard Schölkopf


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Relative gradient optimization of the Jacobian term in unsupervised deep learning

Jun 26, 2020
Luigi Gresele, Giancarlo Fissore, Adrián Javaloy, Bernhard Schölkopf, Aapo Hyvärinen


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Algorithmic recourse under imperfect causal knowledge: a probabilistic approach

Jun 16, 2020
Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera


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Is Independence all you need? On the Generalization of Representations Learned from Correlated Data

Jun 14, 2020
Frederik Träuble, Elliot Creager, Niki Kilbertus, Anirudh Goyal, Francesco Locatello, Bernhard Schölkopf, Stefan Bauer

* 33 pages, 33 figures 

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Structural Autoencoders Improve Representations for Generation and Transfer

Jun 14, 2020
Felix Leeb, Yashas Annadani, Stefan Bauer, Bernhard Schölkopf

* Submitted to NeurIPS 2020 

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Kernel Distributionally Robust Optimization

Jun 12, 2020
Jia-Jie Zhu, Wittawat Jitkrittum, Moritz Diehl, Bernhard Schölkopf


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Necessary and sufficient conditions for causal feature selection in time series with latent common causes

Jun 10, 2020
Atalanti A. Mastakouri, Bernhard Schölkopf, Dominik Janzing


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Learning to Play Table Tennis From Scratch using Muscular Robots

Jun 10, 2020
Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters

* 11 pages, 8 figures. Submitted to T-RO. For more information visit https://muscularTT.embodied.ml 

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