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TBD (Elias Bareibnboim)
Elias Bareinboim
Tue Dec 14 11:00 AM -- 11:30 AM (PST) @
Author Information
Elias Bareinboim (Columbia University)
More from the Same Authors
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2021 Spotlight: Double Machine Learning Density Estimation for Local Treatment Effects with Instruments »
Yonghan Jung · Jin Tian · Elias Bareinboim -
2023 Poster: A Causal Framework for Decomposing Spurious Variations »
Drago Plecko · Elias Bareinboim -
2023 Poster: Nonparametric Identifiability of Causal Representations from Unknown Interventions »
Julius von Kügelgen · Michel Besserve · Liang Wendong · Luigi Gresele · Armin Kekić · Elias Bareinboim · David Blei · Bernhard Schölkopf -
2023 Poster: Estimating Causal Effects Identifiable from Combination of Observations and Experiments »
Yonghan Jung · Ivan Diaz · Jin Tian · Elias Bareinboim -
2023 Poster: Causal discovery from observational and interventional data across multiple environments »
Adam Li · Amin Jaber · Elias Bareinboim -
2023 Poster: Causal Fairness for Outcome Control »
Drago Plecko · Elias Bareinboim -
2022 Poster: Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness »
Amin Jaber · Adele Ribeiro · Jiji Zhang · Elias Bareinboim -
2022 Poster: Online Reinforcement Learning for Mixed Policy Scopes »
Junzhe Zhang · Elias Bareinboim -
2022 Poster: Finding and Listing Front-door Adjustment Sets »
Hyunchai Jeong · Jin Tian · Elias Bareinboim -
2021 : Panel Discussion »
Elias Bareinboim · Mark van der Laan · Claire Vernade -
2021 : Invited Talk: Causality and Fairness »
Elias Bareinboim -
2021 Workshop: Causal Inference & Machine Learning: Why now? »
Elias Bareinboim · Bernhard Schölkopf · Terrence Sejnowski · Yoshua Bengio · Judea Pearl -
2021 Oral: Sequential Causal Imitation Learning with Unobserved Confounders »
Daniel Kumor · Junzhe Zhang · Elias Bareinboim -
2021 Poster: Causal Identification with Matrix Equations »
Sanghack Lee · Elias Bareinboim -
2021 Poster: Nested Counterfactual Identification from Arbitrary Surrogate Experiments »
Juan Correa · Sanghack Lee · Elias Bareinboim -
2021 Poster: Sequential Causal Imitation Learning with Unobserved Confounders »
Daniel Kumor · Junzhe Zhang · Elias Bareinboim -
2021 Poster: The Causal-Neural Connection: Expressiveness, Learnability, and Inference »
Kevin Xia · Kai-Zhan Lee · Yoshua Bengio · Elias Bareinboim -
2021 Poster: Double Machine Learning Density Estimation for Local Treatment Effects with Instruments »
Yonghan Jung · Jin Tian · Elias Bareinboim -
2021 Oral: Causal Identification with Matrix Equations »
Sanghack Lee · Elias Bareinboim -
2020 Workshop: Causal Discovery and Causality-Inspired Machine Learning »
Biwei Huang · Sara Magliacane · Kun Zhang · Danielle Belgrave · Elias Bareinboim · Daniel Malinsky · Thomas Richardson · Christopher Meek · Peter Spirtes · Bernhard Schölkopf -
2020 Poster: Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe »
Sanghack Lee · Elias Bareinboim -
2020 Poster: Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning »
Amin Jaber · Murat Kocaoglu · Karthikeyan Shanmugam · Elias Bareinboim -
2020 Poster: Causal Imitation Learning With Unobserved Confounders »
Junzhe Zhang · Daniel Kumor · Elias Bareinboim -
2020 Poster: General Transportability of Soft Interventions: Completeness Results »
Juan Correa · Elias Bareinboim -
2020 Poster: Learning Causal Effects via Weighted Empirical Risk Minimization »
Yonghan Jung · Jin Tian · Elias Bareinboim -
2020 Oral: Causal Imitation Learning With Unobserved Confounders »
Junzhe Zhang · Daniel Kumor · Elias Bareinboim