Patrick Blöbaum

45 papers A* 6A 6B 2Journal 25Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Classical View on Benign Overfitting: The Role of Sample Size.
CoRR
Junhyung Park, Patrick Blöbaum, Shiva Prasad Kasiviswanathan
2025 — conf
Beyond Single-Feature Importance with ICECREAM.
CLeaR
Michael Oesterle, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Elke Kirschbaum
2025 J jnl
Causal vs. Anticausal merging of predictors.
CoRR
Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing
2025 — conf
Cross-validating causal discovery via Leave-One-Variable-Out.
CLeaR
Daniela Schkoda, Philipp Michael Faller, Dominik Janzing, Patrick Blöbaum
2025 J jnl
Debiasing Reward Models by Representation Learning with Guarantees.
CoRR
Ignavier Ng, Patrick Blöbaum, Siddharth Bhandari, Kun Zhang, Shiva Prasad Kasiviswanathan
2025 J jnl
From Guess2Graph: When and How Can Unreliable Experts Safely Boost Causal Discovery in Finite Samples?
CoRR
Sujai Hiremath, Dominik Janzing, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Kyra Gan
2025 — conf
Score matching through the roof: linear, nonlinear, and latent variables causal discovery.
CLeaR
Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello
2025 A* conf
Toward Falsifying Causal Graphs Using a Permutation-Based Test.
AAAI
Elias Eulig, Atalanti-Anastasia Mastakouri, Patrick Blöbaum, Michaela Hardt, Dominik Janzing
2024 J jnl
Benign Overfitting for Regression with Trained Two-Layer ReLU Networks.
CoRR
Junhyung Park, Patrick Blöbaum, Shiva Prasad Kasiviswanathan
2024 A* conf
Causal vs. Anticausal merging of predictors.
NeurIPS
Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing
2024 J jnl
Cross-validating causal discovery via Leave-One-Variable-Out.
CoRR
Daniela Schkoda, Philipp Michael Faller, Patrick Blöbaum, Dominik Janzing
2024 J jnl
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models.
J. Mach. Learn. Res.
Patrick Blöbaum, Peter Götz, Kailash Budhathoki, Atalanti-Anastasia Mastakouri, Dominik Janzing
2024 J jnl
Modeling Causal Mechanisms with Diffusion Models for Interventional and Counterfactual Queries.
Trans. Mach. Learn. Res.
Patrick Chao, Patrick Blöbaum, Sapan Kirit Patel, Shiva Prasad Kasiviswanathan
2024 A conf
Quantifying intrinsic causal contributions via structure preserving interventions.
AISTATS
Dominik Janzing, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Philipp Michael Faller, Lenon Minorics, Kailash Budhathoki
2024 J jnl
Root Cause Analysis of Outliers with Missing Structural Knowledge.
CoRR
Nastaran Okati, Sergio Hernan Garrido Mejia, William Roy Orchard, Patrick Blöbaum, Dominik Janzing
2024 J jnl
Score matching through the roof: linear, nonlinear, and latent variables causal discovery.
CoRR
Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello
2024 — conf
The PetShop Dataset - Finding Causes of Performance Issues across Microservices.
CLeaR
Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan
2023 J jnl
Beyond Single-Feature Importance with ICECREAM.
CoRR
Michael Oesterle, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Elke Kirschbaum
2023 J jnl
Interventional and Counterfactual Inference with Diffusion Models.
CoRR
Patrick Chao, Patrick Blöbaum, Shiva Prasad Kasiviswanathan
2023 A conf
Manifold Restricted Interventional Shapley Values.
AISTATS
Muhammad Faaiz Taufiq, Patrick Blöbaum, Lenon Minorics
2023 J jnl
Manifold Restricted Interventional Shapley Values.
CoRR
Muhammad Faaiz Taufiq, Patrick Blöbaum, Lenon Minorics
2023 A* conf
Sequential Kernelized Independence Testing.
ICML
Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
2023 J jnl
The PetShop Dataset - Finding Causes of Performance Issues across Microservices.
CoRR
Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Elke Kirschbaum
2023 A* conf
Thompson Sampling with Diffusion Generative Prior.
ICML
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum
2023 J jnl
Thompson Sampling with Diffusion Generative Prior.
CoRR
Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum
2023 J jnl
Toward Falsifying Causal Graphs Using a Permutation-Based Test.
CoRR
Elias Eulig, Atalanti-Anastasia Mastakouri, Patrick Blöbaum, Michaela Hardt, Dominik Janzing
2022 A* conf
Causal structure-based root cause analysis of outliers.
ICML
Kailash Budhathoki, Lenon Minorics, Patrick Blöbaum, Dominik Janzing
2022 J jnl
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models.
CoRR
Patrick Blöbaum, Peter Götz, Kailash Budhathoki, Atalanti-Anastasia Mastakouri, Dominik Janzing
2022 A* conf
On Measuring Causal Contributions via do-interventions.
ICML
Yonghan Jung, Shiva Prasad Kasiviswanathan, Jin Tian, Dominik Janzing, Patrick Blöbaum, Elias Bareinboim
2022 J jnl
Sequential Kernelized Independence Testing.
CoRR
Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
2022 A conf
Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies.
AISTATS
Lenon Minorics, Ali Caner Türkmen, David Kernert, Patrick Blöbaum, Laurent Callot, Dominik Janzing
2021 A conf
Why did the distribution change?
AISTATS
Kailash Budhathoki, Dominik Janzing, Patrick Blöbaum, Hoiyi Ng
2021 J jnl
Why did the distribution change?
CoRR
Kailash Budhathoki, Dominik Janzing, Patrick Blöbaum, Hoiyi Ng
2020 A conf
Feature relevance quantification in explainable AI: A causal problem.
AISTATS
Dominik Janzing, Lenon Minorics, Patrick Blöbaum
2020 J jnl
Quantifying causal contribution via structure preserving interventions.
CoRR
Dominik Janzing, Patrick Blöbaum, Lenon Minorics
2019 J jnl
Analysis of cause-effect inference by comparing regression errors.
PeerJ Comput. Sci.
Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf
2019 J jnl
Causal structure based root cause analysis of outliers.
CoRR
Dominik Janzing, Kailash Budhathoki, Lenon Minorics, Patrick Blöbaum
2019 J jnl
Feature relevance quantification in explainable AI: A causality problem.
CoRR
Dominik Janzing, Lenon Minorics, Patrick Blöbaum
2018 J jnl
Analysis of Cause-Effect Inference via Regression Errors.
CoRR
Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf
2018 A conf
Cause-Effect Inference by Comparing Regression Errors.
AISTATS
Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf
2017 B conf
A novel principle for causal inference in data with small error variance.
ESANN
Patrick Blöbaum, Shohei Shimizu, Takashi Washio
2017 — conf
Estimation of interventional effects of features on prediction.
MLSP
Patrick Blöbaum, Shohei Shimizu
2016 J jnl
Error Asymmetry in Causal and Anticausal Regression.
CoRR
Patrick Blöbaum, Takashi Washio, Shohei Shimizu
2015 — conf
Discriminative and Generative Models in Causal and Anticausal Settings.
AMBN@JSAI-isAI
Patrick Blöbaum, Shohei Shimizu, Takashi Washio
2015 B conf
Unsupervised Dimensionality Reduction for Transfer Learning.
ESANN
Patrick Blöbaum, Alexander Schulz, Barbara Hammer