Unsupervised Dimensionality Reduction for Transfer Learning. - Patrick Blöbaum; Alexander Schulz 001; Barbara Hammer (ESANN, 2015)

Discriminative and Generative Models in Causal and Anticausal Settings. - Patrick Blöbaum; Shohei Shimizu; Takashi Washio (AMBN@JSAI-isAI, 2015)

Error Asymmetry in Causal and Anticausal Regression. - Patrick Blöbaum; Takashi Washio; Shohei Shimizu (CoRR, 2016)

A novel principle for causal inference in data with small error variance. - Patrick Blöbaum; Shohei Shimizu; Takashi Washio (ESANN, 2017)

Estimation of interventional effects of features on prediction. - Patrick Blöbaum; Shohei Shimizu (MLSP, 2017)

Cause-Effect Inference by Comparing Regression Errors. - Patrick Blöbaum; Dominik Janzing; Takashi Washio; Shohei Shimizu; Bernhard Schölkopf (AISTATS, 2018)

Analysis of Cause-Effect Inference via Regression Errors. - Patrick Blöbaum; Dominik Janzing; Takashi Washio; Shohei Shimizu; Bernhard Schölkopf (CoRR, 2018)

Feature relevance quantification in explainable AI: A causality problem. - Dominik Janzing; Lenon Minorics; Patrick Blöbaum (CoRR, 2019)

Analysis of cause-effect inference by comparing regression errors. - Patrick Blöbaum; Dominik Janzing; Takashi Washio; Shohei Shimizu; Bernhard Schölkopf (PeerJ Comput. Sci., 2019)

Feature relevance quantification in explainable AI: A causal problem. - Dominik Janzing; Lenon Minorics; Patrick Blöbaum (AISTATS, 2020)

Quantifying causal contribution via structure preserving interventions. - Dominik Janzing; Patrick Blöbaum; Lenon Minorics (CoRR, 2020)

Why did the distribution change? - Kailash Budhathoki; Dominik Janzing; Patrick Blöbaum; Hoiyi Ng (AISTATS, 2021)

Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies. - Lenon Minorics; Ali Caner Türkmen; David Kernert; Patrick Blöbaum; Laurent Callot; Dominik Janzing (AISTATS, 2022)

Causal structure-based root cause analysis of outliers. - Kailash Budhathoki; Lenon Minorics; Patrick Blöbaum; Dominik Janzing (ICML, 2022)

On Measuring Causal Contributions via do-interventions. - Yonghan Jung; Shiva Prasad Kasiviswanathan; Jin Tian 001; Dominik Janzing; Patrick Blöbaum; Elias Bareinboim (ICML, 2022)

Manifold Restricted Interventional Shapley Values. - Muhammad Faaiz Taufiq; Patrick Blöbaum; Lenon Minorics (AISTATS, 2023)

Thompson Sampling with Diffusion Generative Prior. - Yu-Guan Hsieh; Shiva Prasad Kasiviswanathan; Branislav Kveton; Patrick Blöbaum (ICML, 2023)

Sequential Kernelized Independence Testing. - Aleksandr Podkopaev; Patrick Blöbaum; Shiva Prasad Kasiviswanathan; Aaditya Ramdas (ICML, 2023)

Interventional and Counterfactual Inference with Diffusion Models. - Patrick Chao; Patrick Blöbaum; Shiva Prasad Kasiviswanathan (CoRR, 2023)

Quantifying intrinsic causal contributions via structure preserving interventions. - Dominik Janzing; Patrick Blöbaum; Atalanti-Anastasia Mastakouri; Philipp Michael Faller; Lenon Minorics; Kailash Budhathoki (AISTATS, 2024)

The PetShop Dataset - Finding Causes of Performance Issues across Microservices. - Michaela Hardt; William Roy Orchard; Patrick Blöbaum; Elke Kirschbaum; Shiva Prasad Kasiviswanathan (CLeaR, 2024)

Causal vs. Anticausal merging of predictors. - Sergio Hernan Garrido Mejia; Patrick Blöbaum; Bernhard Schölkopf; Dominik Janzing (NeurIPS, 2024)

Root Cause Analysis of Outliers with Missing Structural Knowledge. - Nastaran Okati; Sergio Hernan Garrido Mejia; William Roy Orchard; Patrick Blöbaum; Dominik Janzing (CoRR, 2024)

Benign Overfitting for Regression with Trained Two-Layer ReLU Networks. - Junhyung Park; Patrick Blöbaum; Shiva Prasad Kasiviswanathan (CoRR, 2024)

DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models. - Patrick Blöbaum; Peter Götz; Kailash Budhathoki; Atalanti-Anastasia Mastakouri; Dominik Janzing (J. Mach. Learn. Res., 2024)

Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries. - Patrick Chao; Patrick Blöbaum; Sapan Kirit Patel; Shiva Prasad Kasiviswanathan (Trans. Mach. Learn. Res., 2024)

Toward Falsifying Causal Graphs Using a Permutation-Based Test. - Elias Eulig; Atalanti-Anastasia Mastakouri; Patrick Blöbaum; Michaela Hardt; Dominik Janzing (AAAI, 2025)

Score matching through the roof: linear, nonlinear, and latent variables causal discovery. - Francesco Montagna; Philipp Michael Faller; Patrick Blöbaum; Elke Kirschbaum; Francesco Locatello (CLeaR, 2025)

Beyond Single-Feature Importance with ICECREAM. - Michael Oesterle; Patrick Blöbaum; Atalanti-Anastasia Mastakouri; Elke Kirschbaum (CLeaR, 2025)

Cross-validating causal discovery via Leave-One-Variable-Out. - Daniela Schkoda; Philipp Michael Faller; Dominik Janzing; Patrick Blöbaum (CLeaR, 2025)

A Classical View on Benign Overfitting: The Role of Sample Size. - Junhyung Park; Patrick Blöbaum; Shiva Prasad Kasiviswanathan (CoRR, 2025)