Tom Heskes
21 papers · 2003–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Tom Heskes?
2 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Tom Claassen, Ioan Gabriel Bucur, Evi Sijben
10 papers
· 2010–2026
· PGM, CLeaR, NeurIPS
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Bayesian Causal Discovery Networks for Linear Mixed Data
CLeaR 2026
AutoCD: Automated Machine Learning for Causal Discovery Algorithms
PGM 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
NeurIPS 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
Bayesian Probabilities for Constraint-Based Causal Discovery
IJCAI 2013
Causal discovery in multiple models from different experiments
NeurIPS 2010
8 papers whose co-authors appear nowhere else under this name
Bias-variance decompositions: the exclusive privilege of Bregman divergences
JMLR 2025
Offline Changepoint Detection With Gaussian Processes
UAI 2025
Unsupervised Anomaly Detection Algorithms on Real-world Data: How Many Do We Need?
JMLR 2024
Unsupervised Feature Learning for Visual Sign Language Identification
ACL 2014
On Causal Discovery with Cyclic Additive Noise Models
NeurIPS 2011
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach
NeurIPS 2007
Change Point Problems in Linear Dynamical Systems
JMLR 2005
Task Clustering and Gating for Bayesian Multitask Learning
JMLR 2003