Alex Markham
6 papers · 2020–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🚀
Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(5)
Core AI
(5)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Core Methods
(2)
Learning Types
(2)
Mathematics
(2)
Reasoning
(2)
Deep Learning
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
causal structure learning
(2)
bayesian network
(2)
causal inference
(2)
causal discovery
(1)
independence testing
(1)
generative model
(1)
disentangled representation
(1)
essential graph
(1)
causal clustering
(1)
interventional data
(1)
directed acyclic graph
(1)
equivalence class
(1)
latent causal model
(1)
markov equivalence class
(1)
causal modeling
(1)
python package
(1)
distance covariance
(1)
edge clique cover
(1)
causal abstraction
(1)
out-of-distribution generation
(1)
Papers
Coarsening Causal DAG Models
CLeaR 2026
Intervening to learn and compose causally disentangled representations
CLeaR 2026
A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations
CLeaR 2022
A Transformational Characterization of Unconditionally Equivalent Bayesian Networks
PGM 2022
Measurement Dependence Inducing Latent Causal Models
UAI 2020
MeDIL: A Python Package for Causal Modelling
PGM 2020