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Poster
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Tue 9:00 |
Representation Learning via Invariant Causal Mechanisms Jovana Mitrovic · Brian McWilliams · Jacob C Walker · Lars Buesing · Charles Blundell |
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Poster
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Thu 17:00 |
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning Hengrui Cai · Rui Song · Wenbin Lu |
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Poster
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Thu 1:00 |
Learning Deep Features in Instrumental Variable Regression Liyuan Xu · Yutian Chen · Siddarth Srinivasan · Nando de Freitas · Arnaud Doucet · Arthur Gretton |
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Poster
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Thu 1:00 |
Latent Convergent Cross Mapping Edward De Brouwer · Adam Arany · Jaak Simm · Yves Moreau |
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Poster
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Thu 1:00 |
Counterfactual Generative Networks Axel Sauer · Andreas Geiger |
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Poster
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Mon 9:00 |
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew Leavitt · Ari Morcos |
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Poster
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Mon 9:00 |
The Risks of Invariant Risk Minimization Elan Rosenfeld · Pradeep K Ravikumar · Andrej Risteski |
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Poster
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Tue 17:00 |
Debiasing Concept-based Explanations with Causal Analysis Mohammad Taha Bahadori · David Heckerman |
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Poster
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Thu 1:00 |
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks Yanbang Wang · Yen-Yu Chang · Yunyu Liu · Jure Leskovec · Pan Li |
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Poster
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Thu 1:00 |
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed · Frederik Träuble · Anirudh Goyal · Alexander Neitz · Manuel Wuthrich · Yoshua Bengio · Bernhard Schoelkopf · Stefan Bauer |
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Workshop
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CAUSALLY CONSTRAINED DATA SYNTHESIS FOR PRIVATE DATA RELEASE Varun Chandrasekaran · Darren Edge · Somesh Jha · Amit Sharma · Cheng Zhang · Shruti Tople |
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Poster
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Thu 1:00 |
Interpretable Models for Granger Causality Using Self-explaining Neural Networks Ričards Marcinkevičs · Julia E Vogt |