Leonard Schulman
5 papers · 2007–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (18) 🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge
🐣
Hot Topic Early Bird
Conferences
CLEAR (2)
COLT (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
mixture model
(3)
causal inference
(1)
parameter estimation
(1)
expectation maximization
(1)
high-dimensional learning
(1)
bayesian network
(1)
directed acyclic graph
(1)
unobserved confounding
(1)
gaussian mixture
(1)
probabilistic analysis
(1)
product distribution
(1)
source identification
(1)
spherical gaussian
(1)
multilinear moment
(1)
unsupervised learning
(1)
hidden random variable
(1)
Papers
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