Murat Kocaoglu | DeepAI

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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 ...

0 Ziwei Jiang, et al. ∙

∙ 06/20/2023

Towards Characterizing Domain Counterfactuals For Invertible Latent Causal Models

Learning latent causal models from data has many important applications ...

0 Sean Kulinski, et al. ∙

∙ 06/19/2023

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge

Causal effect estimation from data typically requires assumptions about ...

0 Abhin Shah, et al. ∙

∙ 02/23/2023

Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier

Given a set of discrete probability distributions, the minimum entropy c...

0 Spencer Compton, et al. ∙

∙ 01/22/2023

Characterization and Learning of Causal Graphs with Small Conditioning Sets

Constraint-based causal discovery algorithms learn part of the causal gr...

0 Murat Kocaoglu, et al. ∙

∙ 01/10/2021

Entropic Causal Inference: Identifiability and Finite Sample Results

Entropic causal inference is a framework for inferring the causal direct...

0 Spencer Compton, et al. ∙

∙ 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...

0 Chandler Squires, et al. ∙

∙ 10/28/2018

Experimental Design for Cost-Aware Learning of Causal Graphs

We consider the minimum cost intervention design problem: Given the esse...

6 Erik M. Lindgren, et al. ∙

∙ 07/26/2018

Entropic Latent Variable Discovery

We consider the problem of discovering the simplest latent variable that...

2 Murat Kocaoglu, et al. ∙

∙ 09/06/2017

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

We propose an adversarial training procedure for learning a causal impli...

0 Murat Kocaoglu, et al. ∙

∙ 03/08/2017

Sparse Quadratic Logistic Regression in Sub-quadratic Time

We consider support recovery in the quadratic logistic regression settin...

0 Karthikeyan Shanmugam, et al. ∙

∙ 03/08/2017

Cost-Optimal Learning of Causal Graphs

We consider the problem of learning a causal graph over a set of variabl...

0 Murat Kocaoglu, et al. ∙

∙ 01/28/2017

Entropic Causality and Greedy Minimum Entropy Coupling

We study the problem of identifying the causal relationship between two ...

0 Murat Kocaoglu, et al. ∙

∙ 11/12/2016

Entropic Causal Inference

We consider the problem of identifying the causal direction between two ...

0 Murat Kocaoglu, et al. ∙

∙ 06/01/2016

Contextual Bandits with Latent Confounders: An NMF Approach

Motivated by online recommendation and advertising systems, we consider ...

0 Rajat Sen, et al. ∙

∙ 10/30/2015

Learning Causal Graphs with Small Interventions

We consider the problem of learning causal networks with interventions, ...

0 Karthikeyan Shanmugam, et al. ∙

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