Explanatory Data Analysis group
Dr. Saber Salehkaleybar
Saber Salehkaleybar is an assistant professor at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University. Prior to this, he worked as a research scientist in the School of Computer and Communication Sciences (IC) and College of Management of Technology (CDM) at École Polytechnique Fédérale de Lausanne. His research interests include causal inference, stochastic optimization, and reinforcement learning. He is particularly interested in causal discovery, experiment design, and applications of causality in generative AI. Additionally, he is focused on developing efficient optimization algorithms for training large learning models.
Selected recent publications
2024 |
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Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data. In: International Conference on Artificial Intelligence and Statistics, pp 3187-3195, PMLR, 2024. |
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A unified experiment design approach forcyclic and acyclic causal models. Transactions on Machine Learning Research vol.1(1), pp 1-1, 2024. |
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2023 |
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A unified experiment design approach forcyclic and acyclic causal models. Journal of Machine Learning Research vol.24(354), pp 1-31, 2023. |