Burak Varıcı

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I am a postdoctoral researcher in the Machine Learning Department at Carnegie Mellon University, working with Pradeep Ravikumar.

Previously, I recently obtained my Ph.D. degree in the Department of Electrical, Computer and Systems Engineering (ECSE), Rensselaer Polytechnic Institute (RPI), advised by Ali Tajer. I was also an IBM AI Horizons Scholar and worked with several collaborators, including Karthikeyan Shanmugam and Prasanna Sattigeri.

My research interests are centered on causal inference from interventions and identifiable representation learning. During my Ph.D., I have focused on leveraging the shared causal mechanisms and the role of interventions across different data environments. Specifically, I have been developing methodology for causal representation learning, sequential intervention design, and causal structure learning.

news

Sep 26, 2024 Three papers have been accepted to NeurIPS 2024: mixture causal discovery, multi-node interventional CRL, and sample complexity of CRL. See you in Vancouver!
Jun 12, 2024 Manuscript on causal discovery: Interventional Causal Discovery in a Mixture of DAGs.
Jun 9, 2024 Manuscript on CRL from multi-node interventions!: Linear Causal Representation Learning from Unknown Multi-node Interventions.
Mar 6, 2024 Our paper Robust Causal Bandits for Linear Models is published in JSAIT.
Feb 1, 2024 New manuscript on CRL: Score-based Causal Representation Learning: Linear and General Transformations.