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06/22/2023
Approximate Causal Effect Identification under Weak Confounding
Causal effect estimation has been studied by many researchers when only ...
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06/20/2023
Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models
Learning latent causal models from data has many important applications ...
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06/19/2023
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge
Causal effect estimation from data typically requires assumptions about ...
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02/23/2023
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier
Given a set of discrete probability distributions, the minimum entropy c...
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01/22/2023
Characterization and Learning of Causal Graphs with Small Conditioning Sets
Constraint-based causal discovery algorithms learn part of the causal gr...
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01/10/2021
Entropic Causal Inference: Identifiability and Finite Sample Results
Entropic causal inference is a framework for inferring the causal direct...
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11/01/2020
Active Structure Learning of Causal DAGs via Directed Clique Tree
A growing body of work has begun to study intervention design for effici...
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10/28/2018
Experimental Design for Cost-Aware Learning of Causal Graphs
We consider the minimum cost intervention design problem: Given the esse...
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07/26/2018
Entropic Latent Variable Discovery
We consider the problem of discovering the simplest latent variable that...
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09/06/2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
We propose an adversarial training procedure for learning a causal impli...
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03/08/2017
Sparse Quadratic Logistic Regression in Sub-quadratic Time
We consider support recovery in the quadratic logistic regression settin...
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03/08/2017
Cost-Optimal Learning of Causal Graphs
We consider the problem of learning a causal graph over a set of variabl...
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01/28/2017
Entropic Causality and Greedy Minimum Entropy Coupling
We study the problem of identifying the causal relationship between two ...
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11/12/2016
Entropic Causal Inference
We consider the problem of identifying the causal direction between two ...
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06/01/2016
Contextual Bandits with Latent Confounders: An NMF Approach
Motivated by online recommendation and advertising systems, we consider ...
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10/30/2015