| 2025 | AISTATS | Causal Discovery-Driven Change Point Detection in Time Series. | Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu |
| 2025 | UAI | Root Cause Analysis of Failures from Partial Causal Structures. | Azam Ikram, Kenneth Lee, Shubham Agarwal, Shiv Kumar Saini, Saurabh Bagchi, Murat Kocaoglu |
| 2025 | UAI | Constraint-based Causal Discovery from a Collection of Conditioning Sets. | Kenneth Lee, Bruno Ribeiro, Murat Kocaoglu |
| 2025 | UAI | FeDCM: Federated Learning of Deep Causal Generative Models. | Md. Musfiqur Rahman, Murat Kocaoglu |
| 2024 | ICLR | Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models. | Zeyu Zhou, Ruqi Bai, Sean Kulinski, Murat Kocaoglu, David I. Inouye |
| 2024 | ICML | Adaptive Online Experimental Design for Causal Discovery. | Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi |
| 2024 | ICML | Conditional Common Entropy for Instrumental Variable Testing and Partial Identification. | Ziwei Jiang, Murat Kocaoglu |
| 2024 | ICML | Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference. | Md. Musfiqur Rahman, Murat Kocaoglu |
| 2023 | AISTATS | Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier. | Spencer Compton, Dmitriy Katz, Benjamin Qi, Kristjan H. Greenewald, Murat Kocaoglu |
| 2023 | ICML | Approximate Causal Effect Identification under Weak Confounding. | Ziwei Jiang, Lai Wei, Murat Kocaoglu |
| 2023 | UAI | Finding Invariant Predictors Efficiently via Causal Structure. | Kenneth Lee, Md. Musfiqur Rahman, Murat Kocaoglu |
| 2022 | ICML | Entropic Causal Inference: Graph Identifiability. | Spencer Compton, Kristjan H. Greenewald, Dmitriy Katz, Murat Kocaoglu |
| 2021 | UAI | Conditionally independent data generation. | Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu |
| 2018 | ICLR | CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training. | Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis, Sriram Vishwanath |
| 2017 | AAAI | Entropic Causal Inference. | Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi |
| 2017 | AISTATS | Contextual Bandits with Latent Confounders: An NMF Approach. | Rajat Sen, Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis, Sanjay Shakkottai |
| 2017 | ICML | Cost-Optimal Learning of Causal Graphs. | Murat Kocaoglu, Alex Dimakis, Sriram Vishwanath |
| 2017 | ISIT | Entropie causality anc greedy minimum entropy coupling. | Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi |
| 2012 | INFOCOM | Minimum energy coding for wireless nanosensor networks. | Murat Kocaoglu, zgr B. Akan |