Murat Kocaoglu
Assistant Professor of Electrical and Computer Engineering
Assistant Professor of Computer Science (courtesy)
Assistant Professor of Statistics (courtesy)
I am an Assistant Professor in The Elmore Family School of Electrical and Computer Engineering, the Department of Computer Science (by courtesy), and the Department of Statistics (by courtesy) at Purdue University. My current research focuses on developing fundamental causal inference and causal discovery algorithms and how to integrate them into causal machine learning solutions. If you are interested in joining my lab, send me an email with your researc… ↓More
Joined department: Fall 2021
Education
PhD, The University of Texas at Austin, Electrical and Computer Engineering (2018)
M.Sc., Koc University, Electrical and Computer Engineering (2012)
B.S., Middle East Technical University, Electrical and Electronics Engineering (2010)
I am an Assistant Professor in The Elmore Family School of Electrical and Computer Engineering, the Department of Computer Science (by courtesy), and the Department of Statistics (by courtesy) at Purdue University. My current research focuses on developing fundamental causal inference and causal discovery algorithms and how to integrate them into causal machine learning solutions.
If you are interested in joining my lab, send me an email with your research interests.
Selected Publications
M. M. Rahman, M. Jordan, M. Kocaoglu, "Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand," in Proc. of NeurIPS'24, Vancouver, Canada, Dec. 2024.
M. Q. Elahi, M. Ghasemi, M. Kocaoglu, "Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits," in Proc. of NeurIPS'24, Vancouver, Canada, Dec. 2024.
Z. Zhou, M. Q. Elahi, M. Kocaoglu, "Sample Efficient Bayesian Learning of Causal Graphs from Interventions," in Proc. of NeurIPS'24, Vancouver, Canada, Dec. 2024.
Z. Jiang, M. Kocaoglu, "Conditional Common Entropy for Instrumental Variable Testing and Partial Identification," in Proc. of ICML'24, Vienna, Austria, July 2024.
M. M. Rahman, M. Kocaoglu, "Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference," in Proc. of ICML'24, Vienna, Austria, July 2024.