Frederick Eberhardt
J. Dubois, H. Oya, J. M. Tyszka, M. Howard III, F. Eberhardt and R. Adolphs (2018). Causal mapping of emotion networks in the human brain: Framework and initial findings. In Neuropsychologia. A. Hyttinen, S. Plis, M. Järvisalo, F. Eberhardt, and D. Danks (2017). A Constraint Optimization Approach to Causal Discovery from Subsampled Time Series Data. In International Journal of Approximate Reasoning 90: 208-225. Zhalama, J. Zhang, F. Eberhardt & W. Mayer (2017). SAT-based causal discovery under weaker assumptions. In Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI). K. Chalupka, F. Eberhardt & P. Perona (2017). Causal feature learning: an overview. In Behaviormetrika 44(1): 137-167. F. Eberhardt (2017). Introduction to the foundations of causal discovery. In International Journal of Data Science and Analytics 3.2: 81-91. F. Eberhardt, E. Bareinboim, M. Maathuis, J. Mooij & R. Silva, editors (2017). Proceedings of the UAI Workshop on Causation: Foundatio
Frederick Eberhardt Frederick Eberhardt - publications causal & statistical inference E.L. Jahn, F. Eberhardt & L. Schulman (2025). Lower Bounds on the Size of Markov Equivalence Classes . In Proceedings of the 41st Conference on Uncertainty in Artificial Intelligence (UAI). P. Burauel, F. Eberhardt & M. Besserve (2025). Controlling for discrete unmeasured confounding in nonlinear causal models . In Proceedings of Causal Learning and Reasoning conference (CLeaR). F. Eberhardt, N. Kaynar & A. Siddiq (2025). Discovering Causal Models with Optimization: Confounders, Cycles, and Instrument Validit
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