Leonard Schulman
6 papers · 2007–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (12) π Renaissance Researcher (5)
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Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Optimization & Theory
(3)
Core AI
(2)
Core Methods
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Foundations
(1)
Mathematics
(1)
Methods
(1)
Reasoning
(1)
Keywords
mixture model
(3)
directed acyclic graph
(3)
causal discovery
(2)
parameter estimation
(2)
high-dimensional learning
(1)
identifiability
(1)
bayesian network
(1)
lower bound
(1)
observational data
(1)
unobserved confounding
(1)
causal identification
(1)
gaussian mixture
(1)
latent confounder
(1)
moment matrix
(1)
probabilistic analysis
(1)
markov equivalence class
(1)
product distribution
(1)
source identification
(1)
latent confounding
(1)
spherical gaussian
(1)
Papers
Causal Discovery in Mixtures of Populations
UAI 2026
Causal Identification in Time Series Models
CLeaR 2025
Lower Bounds on the Size of Markov Equivalence Classes
UAI 2025
Causal Inference Despite Limited Global Confounding via Mixture Models
CLeaR 2023
Source Identification for Mixtures of Product Distributions
COLT 2021
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
JMLR 2007