Frederick Eberhardt
9 papers · 2010–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Conference Pioneer
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Trend Setter
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Research topics
Artificial Intelligence
(9)
Core AI
(9)
Knowledge & Reasoning
(6)
Reasoning
(6)
Machine Learning
(5)
Learning Types
(3)
Mathematics & Optimization
(2)
Optimization & Theory
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Paradigms
(1)
Mathematics
(1)
Optimization
(1)
Representation
(1)
Keywords
causal discovery
(7)
causal structure
(3)
linear model
(2)
causal inference
(2)
latent variable
(2)
graphical model
(1)
structural equation model
(1)
feedback loop
(1)
lower bound
(1)
linear causal model
(1)
controlled experiment
(1)
directed acyclic graph
(1)
observational data
(1)
linear cyclic model
(1)
causal relation
(1)
cyclic model
(1)
markov equivalence class
(1)
experiment selection
(1)
causal identifiability
(1)
constraint-based learning
(1)
Papers
Controlling for discrete unmeasured confounding in nonlinear causal models
CLeaR 2025
Lower Bounds on the Size of Markov Equivalence Classes
UAI 2025
Approximate Causal Abstractions
UAI 2019
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions
IJCAI 2019
Causal Discovery from Subsampled Time Series Data by Constraint Optimization
PGM 2016
Multi-Level Cause-Effect Systems
AISTATS 2016
Experiment Selection for Causal Discovery
JMLR 2013
Learning Linear Cyclic Causal Models with Latent Variables
JMLR 2012
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
AISTATS 2010