Kocaoglu, Murat

44 publications

AISTATS 2025 Causal Discovery-Driven Change Point Detection in Time Series Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu

NeurIPS 2025 Characterization and Learning of Causal Graphs from Hard Interventions Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu

UAI 2025 Constraint-Based Causal Discovery from a Collection of Conditioning Sets Kenneth Lee, Bruno Ribeiro, Murat Kocaoglu

NeurIPS 2025 Differentiable Constraint-Based Causal Discovery Jincheng Zhou, Mengbo Wang, Anqi He, Yumeng Zhou, Hessam Olya, Murat Kocaoglu, Bruno Ribeiro

UAI 2025 FeDCM: Federated Learning of Deep Causal Generative Models Md Musfiqur Rahman, Murat Kocaoglu

TMLR 2025 Identification of Average Outcome Under Interventions in Confounded Additive Noise Models Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu

UAI 2025 Root Cause Analysis of Failures from Partial Causal Structures Azam Ikram, Kenneth Lee, Shubham Agarwal, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu

ICML 2024 Adaptive Online Experimental Design for Causal Discovery Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi

ICML 2024 Conditional Common Entropy for Instrumental Variable Testing and Partial Identification Ziwei Jiang, Murat Kocaoglu

ICMLW 2024 Conditional Common Entropy for Instrumental Variable Testing and Partial Identification Ziwei Jiang, Murat Kocaoglu

NeurIPS 2024 Conditional Generative Models Are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu

ICMLW 2024 Conditional Generative Models Are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu

NeurIPS 2024 Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David I. Inouye

ICML 2024 Modular Learning of Deep Causal Generative Models for High-Dimensional Causal Inference Md Musfiqur Rahman, Murat Kocaoglu

NeurIPS 2024 Partial Structure Discovery Is Sufficient for No-Regret Learning in Causal Bandits Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu

ICMLW 2024 Partial Structure Discovery Is Sufficient for No-Regret Learning in Causal Bandits Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu

NeurIPS 2024 Sample Efficient Bayesian Learning of Causal Graphs from Interventions Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu

ICLR 2024 Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models Zeyu Zhou, Ruqi Bai, Sean Kulinski, Murat Kocaoglu, David I. Inouye

NeurIPS 2023 Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders Lai Wei, Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu

ICML 2023 Approximate Causal Effect Identification Under Weak Confounding Ziwei Jiang, Lai Wei, Murat Kocaoglu

NeurIPS 2023 Causal Discovery in Semi-Stationary Time Series Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan Rossi, Murat Kocaoglu

NeurIPS 2023 Characterization and Learning of Causal Graphs with Small Conditioning Sets Murat Kocaoglu

UAI 2023 Finding Invariant Predictors Efficiently via Causal Structure Kenneth Lee, Md Musfiqur Rahman, Murat Kocaoglu

NeurIPS 2023 Front-Door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu

AISTATS 2023 Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan Greenewald, Murat Kocaoglu

NeurIPSW 2023 Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models Sean Kulinski, Zeyu Zhou, Ruqi Bai, Murat Kocaoglu, David I. Inouye

ICMLW 2023 Towards Modular Learning of Deep Causal Generative Models Md Musfiqur Rahman, Murat Kocaoglu

ICML 2022 Entropic Causal Inference: Graph Identifiability Spencer Compton, Kristjan Greenewald, Dmitriy A Katz, Murat Kocaoglu

NeurIPS 2022 Root Cause Analysis of Failures in Microservices Through Causal Discovery Azam Ikram, Sarthak Chakraborty, Subrata Mitra, Shiv Saini, Saurabh Bagchi, Murat Kocaoglu

UAI 2021 Conditionally Independent Data Generation Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu

NeurIPS 2020 Active Structure Learning of Causal DAGs via Directed Clique Trees Chandler Squires, Sara Magliacane, Kristjan Greenewald, Dmitriy Katz, Murat Kocaoglu, Karthikeyan Shanmugam

NeurIPS 2020 Applications of Common Entropy for Causal Inference Murat Kocaoglu, Sanjay Shakkottai, Alexandros G Dimakis, Constantine Caramanis, Sriram Vishwanath

NeurIPS 2020 Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning Amin Jaber, Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim

NeurIPS 2020 Entropic Causal Inference: Identifiability and Finite Sample Results Spencer Compton, Murat Kocaoglu, Kristjan Greenewald, Dmitriy Katz

NeurIPS 2019 Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions Murat Kocaoglu, Amin Jaber, Karthikeyan Shanmugam, Elias Bareinboim

NeurIPS 2019 Sample Efficient Active Learning of Causal Trees Kristjan Greenewald, Dmitriy Katz, Karthikeyan Shanmugam, Sara Magliacane, Murat Kocaoglu, Enric Boix Adsera, Guy Bresler

ICLR 2018 CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath

NeurIPS 2018 Experimental Design for Cost-Aware Learning of Causal Graphs Erik Lindgren, Murat Kocaoglu, Alexandros G Dimakis, Sriram Vishwanath

AISTATS 2017 Contextual Bandits with Latent Confounders: An NMF Approach Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai

ICML 2017 Cost-Optimal Learning of Causal Graphs Murat Kocaoglu, Alex Dimakis, Sriram Vishwanath

AAAI 2017 Entropic Causal Inference Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi

NeurIPS 2017 Experimental Design for Learning Causal Graphs with Latent Variables Murat Kocaoglu, Karthikeyan Shanmugam, Elias Bareinboim

NeurIPS 2015 Learning Causal Graphs with Small Interventions Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G Dimakis, Sriram Vishwanath

NeurIPS 2014 Sparse Polynomial Learning and Graph Sketching Murat Kocaoglu, Karthikeyan Shanmugam, Alexandros G Dimakis, Adam Klivans