Alexander Mey
6 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) 🏃 Academic Marathon (5)
🐝
Cross-Pollinator
(14)
🗺️
Taxonomy Completionist
(14)
Conferences
UAI (2)
AAAI (1)
AISTATS (1)
COLT (1)
NIPS (1)
Top co-authors
Keywords
empirical risk minimization
(2)
semi-supervised learning
(2)
causal inference
(2)
covariate shift
(1)
finite sample analysis
(1)
excess risk bound
(1)
empirical risk
(1)
conditional distribution
(1)
class probability estimation
(1)
learning curve
(1)
causal mechanism
(1)
semi-generative model
(1)
causal feature
(1)
pac learnability
(1)
training set
(1)
independent causal mechanism
(1)
risk monotonicity
(1)
binary classification
(1)
domain adaptation
(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
NIPS 2019
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features
AISTATS 2019
Open Problem: Monotonicity of Learning
COLT 2019