← Authors

Tom Heskes

20 papers · 2003–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (22) 🐝 Cross-Pollinator (9) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (88) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (20) ❓ The Questioner

Conferences

JMLR (5) NIPS (5) PGM (3) AISTATS (2) UAI (2) ACL (1) CLEAR (1) IJCAI (1)

Top co-authors

Tom Claassen (9) Ioan Gabriel Bucur (5) Botond Cseke (3) Peter Wittenburg (1) Roel Bouman (1) Binyam Gebrekidan Gebre (1) Elena Sokolova (1) Sebastian Drude (1) Evi Sijben (1) Bart Bakker (1)

Keywords

bayesian inference (5) causal discovery (5) expectation propagation (4) causal inference (3) instrumental variable (2) laplace approximation (2) posterior marginal (2) latent gaussian model (2) constraint-based method (2) transfer learning (1) causal effect estimation (1) expectation maximization (1) model interpretability (1) bioinformatics (1) variational inference (1) unsupervised learning (1) map estimation (1) source localization (1) approximate inference (1) nearest neighbor (1)

Papers

Bias-variance decompositions: the exclusive privilege of Bregman divergences JMLR 2025
Offline Changepoint Detection With Gaussian Processes UAI 2025
AutoCD: Automated Machine Learning for Causal Discovery Algorithms PGM 2024
Unsupervised Anomaly Detection Algorithms on Real-world Data: How Many Do We Need? JMLR 2024
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding CLEAR 2023
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models NIPS 2020
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models UAI 2020
A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness AISTATS 2017
Computing Lower and Upper Bounds on the Probability of Causal Statements PGM 2016
Unsupervised Feature Learning for Visual Sign Language Identification ACL 2014
Bayesian Probabilities for Constraint-Based Causal Discovery IJCAI 2013
Approximate Marginals in Latent Gaussian Models JMLR 2011
On Causal Discovery with Cyclic Additive Noise Models NIPS 2011
Improving posterior marginal approximations in latent Gaussian models AISTATS 2010
Causal discovery in multiple models from different experiments NIPS 2010
Bayesian Source Localization with the Multivariate Laplace Prior NIPS 2009
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NIPS 2007
Change Point Problems in Linear Dynamical Systems JMLR 2005
Task Clustering and Gating for Bayesian Multitask Learning JMLR 2003