Blöbaum, Patrick

15 publications

CLeaR 2025 Beyond Single-Feature Importance with ICECREAM Michael Oesterle, Patrick Blöbaum, Atalanti A. Mastakouri, Elke Kirschbaum

CLeaR 2025 Cross-Validating Causal Discovery via Leave-One-Variable-Out Daniela Schkoda, Philipp Michael Faller, Dominik Janzing, Patrick Blöbaum

NeurIPS 2025 Root Cause Analysis of Outliers with Missing Structural Knowledge William Roy Orchard, Nastaran Okati, Sergio Hernan Garrido Mejia, Patrick Blöbaum, Dominik Janzing

CLeaR 2025 Score Matching Through the Roof: Linear, Nonlinear, and Latent Variables Causal Discovery Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello

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

NeurIPS 2024 Causal vs. Anticausal Merging of Predictors Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing

MLOSS 2024 DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models Patrick Blöbaum, Peter Götz, Kailash Budhathoki, Atalanti A. Mastakouri, Dominik Janzing

TMLR 2024 Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries Patrick Chao, Patrick Blöbaum, Sapan Kirit Patel, Shiva Kasiviswanathan

AISTATS 2024 Quantifying Intrinsic Causal Contributions via Structure Preserving Interventions Dominik Janzing, Patrick Blöbaum, Atalanti A Mastakouri, Philipp M Faller, Lenon Minorics, Kailash Budhathoki

CLeaR 2024 The PetShop Dataset — Finding Causes of Performance Issues Across Microservices Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Elke Kirschbaum, Shiva Kasiviswanathan

AISTATS 2023 Manifold Restricted Interventional Shapley Values Muhammad Faaiz Taufiq, Patrick Blöbaum, Lenon Minorics

ICML 2023 Sequential Kernelized Independence Testing Aleksandr Podkopaev, Patrick Blöbaum, Shiva Kasiviswanathan, Aaditya Ramdas

ICML 2023 Thompson Sampling with Diffusion Generative Prior Yu-Guan Hsieh, Shiva Kasiviswanathan, Branislav Kveton, Patrick Blöbaum

NeurIPSW 2022 Diffusion Prior for Online Decision Making: A Case Study of Thompson Sampling Yu-Guan Hsieh, Shiva Kasiviswanathan, Branislav Kveton, Patrick Blöbaum

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