Tom Claassen
17 papers · 2010–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (15) π Interdisciplinary Bridge π Conference Polyglot (7) π§ Keyword Pioneer π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(15)
π§¬
Topic Evolution
π¬
Deep Specialist
(12)
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Keyword Champion
(3)
π
Trend Setter
β‘
Prolific Year
(5)
π
Century Club
(17)
π
Conference Pioneer
ποΈ
Keyword Collector
(58)
Conferences
NIPS (4)
PGM (4)
UAI (4)
AISTATS (2)
CLEAR (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
causal discovery
(9)
causal inference
(5)
markov equivalence
(3)
graphical model
(3)
constraint-based method
(3)
fci algorithm
(3)
causal structure
(2)
instrumental variable
(2)
faithfulness assumption
(2)
causal relation
(2)
partial ancestral graph
(2)
bayesian inference
(2)
model inference
(1)
directed graph
(1)
model interpretability
(1)
conditional probability
(1)
causal effect estimation
(1)
spatial structure
(1)
posterior inference
(1)
bayesian network
(1)
Papers
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
Joint Causal Inference from Multiple Contexts
JMLR 2020
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
NIPS 2020
Discovering cause-effect relationships in spatial systems
with a known direction based on observational data
PGM 2020
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
UAI 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
UAI 2020
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
NIPS 2018
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
Ancestral Causal Inference
NIPS 2016
Bayesian Probabilities for Constraint-Based Causal Discovery
IJCAI 2013
Causal discovery in multiple models from different experiments
NIPS 2010