https://henckell.github.io/ Recent content on Leonard Henckel Hugo -- gohugo.io en-us https://henckell.github.io/research/ Mon, 01 Jan 0001 00:00:00 +0000 https://henckell.github.io/research/ Published papers: M. Chavira Flores, S. Weichwald, L. Henckel. Algorithmics for Graphical Separation Criteria. Conference on Probabilistic Graphical Models (PGM), accepted, 2026. M. Wienöbst, L. Henckel, S. Weichwald. Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning. International Conference on Learning Representations (ICLR), 54630–54652, 2026. link code M. Drton, L. Henckel, B. Hollering, P. Misra. Faithlessness in Gaussian graphical models. Bernoulli, 32(1):638-663, 2026. link B. Stucky , L. Henckel, M. https://henckell.github.io/talks/ Mon, 01 Jan 0001 00:00:00 +0000 https://henckell.github.io/talks/ Department of Statistics Seminar, University of Washington, US, April 2026 Invited talk: Linear-Time Primitives for Algorithm Development in Graphical Causal Inference The World through the Lens of Causality Symposium, Tohoku University, Sendai, February 2026 Invited talk: Conceptual perspectives on defining distances between causal graphs Huawei-IHES Workshop on Causality in the Era of AI, Paris, May 2025 Invited talk: Adjustment identification distance: A gadjid for causal structure learning Mathematical Colloquium, University of Bremen, Bremen, May 2025 https://henckell.github.io/teaching/ Mon, 01 Jan 0001 00:00:00 +0000 https://henckell.github.io/teaching/ Lectures: Inferential Statistics (UCD, Spring Trimester 2025/26) Statistics and Probability (UCD, Spring Trimester 2025/26) Introduction to Data Analytics (UCD, Autumn Trimester 2025/26) Inferential Statistics (UCD, Spring Trimester 2024/25) Statistics and Probability (UCD, Spring Trimester 2024/25) Introduction to Data Analytics (UCD, Autumn Trimester 2024/25) Statistics and Probability (UCD, Spring Trimester 2023/24) Causality (KU, Block 4 2022/23) PhD students: Moises Chavira Flores (UCD): Information theoretic bounds in probabilistic graphical models. Franceso Freni (KU, co-supervision with S.