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187 Results
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Poster
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Thu 7:45 |
Direct Estimation of Differences in Causal Graphs Yuhao Wang · Chandler Squires · Anastasiya Belyaeva · Caroline Uhler |
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Poster
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Thu 14:00 |
Estimating Learnability in the Sublinear Data Regime Weihao Kong · Gregory Valiant |
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Spotlight
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Tue 12:40 |
Bayesian Model-Agnostic Meta-Learning Jaesik Yoon · Taesup Kim · Ousmane Dia · Sungwoong Kim · Yoshua Bengio · Sungjin Ahn |
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Poster
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Wed 7:45 |
Parsimonious Bayesian deep networks Mingyuan Zhou |
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Poster
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Wed 14:00 |
Proximal Graphical Event Models Debarun Bhattacharjya · Dharmashankar Subramanian · Tian Gao |
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Poster
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Thu 7:45 |
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data Dominik Linzner · Heinz Koeppl |
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Poster
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Thu 7:45 |
Learning and Testing Causal Models with Interventions Jayadev Acharya · Arnab Bhattacharyya · Constantinos Daskalakis · Saravanan Kandasamy |
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Poster
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Thu 14:00 |
Bayesian Structure Learning by Recursive Bootstrap Raanan Y. Rohekar · Yaniv Gurwicz · Shami Nisimov · Guy Koren · Gal Novik |
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Workshop
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Fri 11:30 |
Model-free vs. Model-based Learning in a Causal World: Some Stories from Online Learning to Rank Csaba Szepesvari |
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Poster
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Thu 7:45 |
Multi-domain Causal Structure Learning in Linear Systems AmirEmad Ghassami · Negar Kiyavash · Biwei Huang · Kun Zhang |
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Poster
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Wed 14:00 |
Robust Learning of Fixed-Structure Bayesian Networks Yu Cheng · Ilias Diakonikolas · Daniel Kane · Alistair Stewart |
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Poster
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Thu 7:45 |
Constructing Deep Neural Networks by Bayesian Network Structure Learning Raanan Rohekar · Shami Nisimov · Yaniv Gurwicz · Guy Koren · Gal Novik |