Search All 2020 Events
 

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Workshop
Fri 1:15 Contributed Talk 2: Karimi et al. - Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Wojciech Samek
Poster
Wed 5:00 On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies
Hengrui Cai · Wenbin Lu · Rui Song
Poster
Tue 9:00 Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach
Junzhe Zhang
Poster
Tue 18:00 Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models
Yuta Saito · Shota Yasui
Poster
Wed 8:00 Efficient Policy Learning from Surrogate-Loss Classification Reductions
Andrew Bennett · Nathan Kallus
Poster
Tue 9:00 Learning and Sampling of Atomic Interventions from Observations
Arnab Bhattacharyya · Sutanu Gayen · Saravanan Kandasamy · Ashwin Maran · Vinodchandran N. Variyam
Poster
Tue 7:00 Full Law Identification in Graphical Models of Missing Data: Completeness Results
Razieh Nabi · Rohit Bhattacharya · Ilya Shpitser
Poster
Thu 6:00 Estimation of Bounds on Potential Outcomes For Decision Making
Maggie Makar · Fredrik Johansson · John Guttag · David Sontag
Tutorial
Mon 5:00 Causal Reinforcement Learning
Elias Bareinboim
Workshop
Sat 5:35 Spotlight talk: Autoregressive flow-based causal discovery and inference
Invertible Workshop INNF
Poster
Tue 13:00 Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Natasa Tagasovska · Valérie Chavez-Demoulin · Thibault Vatter
Workshop
Sat 14:50 "Towards Causal Benchmarking of Bias in Face Analysis Algorithm"
Pietro Perona