Mey, Alexander

7 publications

UAI 2024 Invariant Causal Prediction with Local Models Alexander Mey, Rui M. Castro

NeurIPSW 2022 Causal Discovery in Time Series Data Using Causally Invariant Locally Linear Models Alexander Mey

AAAI 2021 Consistency and Finite Sample Behavior of Binary Class Probability Estimation Alexander Mey, Marco Loog

UAI 2020 Semi-Supervised Learning, Causality, and the Conditional Cluster Assumption Julius Kügelgen, Alexander Mey, Marco Loog, Bernhard Schölkopf

NeurIPS 2019 Minimizers of the Empirical Risk and Risk Monotonicity Marco Loog, Tom Viering, Alexander Mey

COLT 2019 Open Problem: Monotonicity of Learning Tom Viering, Alexander Mey, Marco Loog

AISTATS 2019 Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features Julius Kügelgen, Alexander Mey, Marco Loog