Alexander Mey
6 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
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Hot Topic Early Bird
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Research topics
Keywords
semi-supervised learning
(2)
empirical risk minimization
(2)
causal inference
(2)
causal discovery
(1)
pac learning
(1)
covariate shift
(1)
excess risk bound
(1)
empirical risk
(1)
finite-sample analysis
(1)
conditional distribution
(1)
class probability estimation
(1)
learning curve
(1)
causal mechanism
(1)
observational data
(1)
hypothesis test
(1)
semi-generative model
(1)
causal feature
(1)
pac learnability
(1)
training set
(1)
independent causal mechanism
(1)
Papers
Invariant Causal Prediction with Local Models
UAI 2024
Consistency and Finite Sample Behavior of Binary Class Probability Estimation
AAAI 2021
Semi-supervised learning, causality, and the conditional cluster assumption
UAI 2020
Minimizers of the Empirical Risk and Risk Monotonicity
NeurIPS 2019
Open Problem: Monotonicity of Learning
COLT 2019
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features
AISTATS 2019