Marx, Alexander

16 publications

TMLR 2025 On the Properties and Estimation of Pointwise Mutual Information Profiles Paweł Czyż, Frederic Grabowski, Julia E Vogt, Niko Beerenwinkel, Alexander Marx

ICLRW 2025 Structured Robustness for Distribution Shifts Erfan Darzi, Alexander Marx

TMLR 2025 Two Is Better than One: Aligned Representation Pairs for Anomaly Detection Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E Vogt

ICLR 2024 Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi

NeurIPSW 2024 Learning Symmetric Contexts for Anomaly Detection Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E Vogt

NeurIPSW 2024 Two Is Better than One: Aligned Clusters Improve Anomaly Detection Alain Ryser, Thomas M. Sutter, Alexander Marx, Julia E Vogt

NeurIPS 2023 Beyond Normal: On the Evaluation of Mutual Information Estimators Paweł Czyż, Frederic Grabowski, Julia Vogt, Niko Beerenwinkel, Alexander Marx

NeurIPS 2023 Effective Bayesian Heteroscedastic Regression with Deep Neural Networks Alexander Immer, Emanuele Palumbo, Alexander Marx, Julia Vogt

NeurIPSW 2023 Exploiting Causal Representations in Reinforcement Learning: A Posterior Sampling Approach Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi

ICLR 2023 Identifiability Results for Multimodal Contrastive Learning Imant Daunhawer, Alice Bizeul, Emanuele Palumbo, Alexander Marx, Julia E Vogt

ICML 2023 On the Identifiability and Estimation of Causal Location-Scale Noise Models Alexander Immer, Christoph Schultheiss, Julia E Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx

ICML 2022 Inferring Cause and Effect in the Presence of Heteroscedastic Noise Sascha Xu, Osman A Mian, Alexander Marx, Jilles Vreeken

UAI 2021 A Weaker Faithfulness Assumption Based on Triple Interactions Alexander Marx, Arthur Gretton, Joris M. Mooij

AAAI 2021 Discovering Fully Oriented Causal Networks Osman Mian, Alexander Marx, Jilles Vreeken

AISTATS 2019 Testing Conditional Independence on Discrete Data Using Stochastic Complexity Alexander Marx, Jilles Vreeken

ECML-PKDD 2018 Causal Inference on Multivariate and Mixed-Type Data Alexander Marx, Jilles Vreeken