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Search All 2021 Events
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Active Learning
Adversarial Robustness and Security
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156 Results
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Poster
Tue 8:30
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data
Andrew Jesson · Panagiotis Tigas · Joost van Amersfoort · Andreas Kirsch · Uri Shalit · Yarin Gal
Workshop
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Yeping Hu · Xiaogang Jia · Masayoshi TOMIZUKA · Wei Zhan
Poster
Tue 8:30
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Kevin Xia · Kai-Zhan Lee · Yoshua Bengio · Elias Bareinboim
Poster
Thu 8:30
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Boris van Breugel · Trent Kyono · Jeroen Berrevoets · Mihaela van der Schaar
Poster
Thu 0:30
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
Trent Kyono · Yao Zhang · Alexis Bellot · Mihaela van der Schaar
Workshop
A Causality-based Graphical Test to obtain an Optimal Blocking Set for Randomized Experiments
Abhishek Kumar Umrawal
Workshop
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang · Michael Jordan
Workshop
Scalable Variational Approaches for Bayesian Causal Discovery
Chris Cundy · Aditya Grover · Stefano Ermon
Workshop
Causal Expectation-Maximisation
Marco Zaffalon · Alessandro Antonucci · Rafael Cabañas
Workshop
Scalable Causal Domain Adaptation
Mohammad Ali Javidian · Om Pandey · Pooyan Jamshidi
Workshop
Reliable causal discovery based on mutual information supremum principle for finite datasets
Vincent Cabeli · Honghao Li · Marcel da Câmara Ribeiro Dantas · Herve Isambert
Workshop
Learning preventative and generative causal structures from point events in continuous time
Tianwei Gong
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