Murat Kocaoglu

Affiliations

Purdue University

papers

107

total citations

papers (13)

Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference

ICML 2024arXiv

citations

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge

NEURIPS 2023arXiv

citations

Applications of Common Entropy for Causal Inference

NEURIPS 2020arXiv

citations

Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models

ICLR 2024arXiv

citations

Adaptive Online Experimental Design for Causal Discovery

ICML 2024arXiv

citations

Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning

NEURIPS 2020

citations

Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders

NEURIPS 2023

citations

Root Cause Analysis of Failures in Microservices through Causal Discovery

NEURIPS 2022

citations

Conditional Common Entropy for Instrumental Variable Testing and Partial Identification

ICML 2024

citations

Murat Kocaoglu

Affiliations

papers (13)

Active Structure Learning of Causal DAGs via Directed Clique Trees

Entropic Causal Inference: Identifiability and Finite Sample Results

Causal Discovery in Semi-Stationary Time Series

Characterization and Learning of Causal Graphs with Small Conditioning Sets

Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge

Applications of Common Entropy for Causal Inference

Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models

Adaptive Online Experimental Design for Causal Discovery

Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning

Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders

Root Cause Analysis of Failures in Microservices through Causal Discovery

Conditional Common Entropy for Instrumental Variable Testing and Partial Identification

papers (13)

Active Structure Learning of Causal DAGs via Directed Clique Trees

Entropic Causal Inference: Identifiability and Finite Sample Results

Causal Discovery in Semi-Stationary Time Series

Characterization and Learning of Causal Graphs with Small Conditioning Sets

Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge

Applications of Common Entropy for Causal Inference

Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models

Adaptive Online Experimental Design for Causal Discovery

Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning

Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders

Root Cause Analysis of Failures in Microservices through Causal Discovery

Conditional Common Entropy for Instrumental Variable Testing and Partial Identification