Tom Claassen
18 papers · 2010–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (18) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(15)
π€
Dynamic Duo
(10)
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Keyword Champion
(3)
π§
Keyword Pioneer
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Conference Pioneer
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Trend Setter
β‘
Prolific Year Β· Productive
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Keyword Collector
(69)
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(15)
Core AI
(15)
Machine Learning
(10)
Knowledge & Reasoning
(9)
Reasoning
(9)
Learning Types
(5)
Optimization & Theory
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Mathematics
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Application Areas
(1)
Applications
(1)
Keywords
causal discovery
(12)
causal inference
(5)
constraint-based method
(3)
bayesian inference
(3)
causal structure
(3)
fci algorithm
(3)
markov equivalence
(3)
graphical model
(3)
causal relation
(2)
causal effect estimation
(2)
faithfulness assumption
(2)
partial ancestral graph
(2)
posterior distribution
(2)
instrumental variable
(2)
independence test
(2)
model inference
(1)
directed graph
(1)
conditional probability
(1)
model interpretability
(1)
spatial structure
(1)
Papers
Bayesian Causal Discovery Networks for Linear Mixed Data
CLeaR 2026
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
AISTATS 2025
AutoCD: Automated Machine Learning for Causal Discovery Algorithms
PGM 2024
Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding
CLeaR 2023
Establishing Markov equivalence in cyclic directed graphs
UAI 2023
Greedy equivalence search in the presence of latent confounders
UAI 2022
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
NeurIPS 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
UAI 2020
Discovering cause-effect relationships in spatial systems
with a known direction based on observational data
PGM 2020
Joint Causal Inference from Multiple Contexts
JMLR 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
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
NeurIPS 2018
Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness
AISTATS 2017
Ancestral Causal Inference
NeurIPS 2016
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