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Patrick Blöbaum
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2020 – today
- 2025
- [c17]Elias Eulig, Atalanti-Anastasia Mastakouri, Patrick Blöbaum, Michaela Hardt, Dominik Janzing:
Toward Falsifying Causal Graphs Using a Permutation-Based Test. AAAI 2025: 26778-26786 - [i19]Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing:
Causal vs. Anticausal merging of predictors. CoRR abs/2501.08426 (2025) - 2024
- [j2]Patrick Blöbaum, Peter Götz, Kailash Budhathoki, Atalanti-Anastasia Mastakouri, Dominik Janzing:
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models. J. Mach. Learn. Res. 25: 147:1-147:7 (2024) - [c16]Dominik Janzing, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Philipp Michael Faller, Lenon Minorics, Kailash Budhathoki:
Quantifying intrinsic causal contributions via structure preserving interventions. AISTATS 2024: 2188-2196 - [c15]Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan:
The PetShop Dataset - Finding Causes of Performance Issues across Microservices. CLeaR 2024: 957-978 - [c14]Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing:
Causal vs. Anticausal merging of predictors. NeurIPS 2024 - [i18]Nastaran Okati, Sergio Hernan Garrido Mejia, William Roy Orchard, Patrick Blöbaum, Dominik Janzing:
Root Cause Analysis of Outliers with Missing Structural Knowledge. CoRR abs/2406.05014 (2024) - [i17]Francesco Montagna, Philipp Michael Faller, Patrick Blöbaum, Elke Kirschbaum, Francesco Locatello:
Score matching through the roof: linear, nonlinear, and latent variables causal discovery. CoRR abs/2407.18755 (2024) - [i16]Junhyung Park, Patrick Blöbaum, Shiva Prasad Kasiviswanathan:
Benign Overfitting for Regression with Trained Two-Layer ReLU Networks. CoRR abs/2410.06191 (2024) - [i15]Daniela Schkoda, Philipp Michael Faller, Patrick Blöbaum, Dominik Janzing:
Cross-validating causal discovery via Leave-One-Variable-Out. CoRR abs/2411.05625 (2024) - 2023
- [c13]Muhammad Faaiz Taufiq, Patrick Blöbaum, Lenon Minorics:
Manifold Restricted Interventional Shapley Values. AISTATS 2023: 5079-5106 - [c12]Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum:
Thompson Sampling with Diffusion Generative Prior. ICML 2023: 13434-13468 - [c11]Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
Sequential Kernelized Independence Testing. ICML 2023: 27957-27993 - [i14]Muhammad Faaiz Taufiq, Patrick Blöbaum, Lenon Minorics:
Manifold Restricted Interventional Shapley Values. CoRR abs/2301.04041 (2023) - [i13]Yu-Guan Hsieh, Shiva Prasad Kasiviswanathan, Branislav Kveton, Patrick Blöbaum:
Thompson Sampling with Diffusion Generative Prior. CoRR abs/2301.05182 (2023) - [i12]Patrick Chao, Patrick Blöbaum, Shiva Prasad Kasiviswanathan:
Interventional and Counterfactual Inference with Diffusion Models. CoRR abs/2302.00860 (2023) - [i11]Elias Eulig, Atalanti-Anastasia Mastakouri, Patrick Blöbaum, Michaela Hardt, Dominik Janzing:
Toward Falsifying Causal Graphs Using a Permutation-Based Test. CoRR abs/2305.09565 (2023) - [i10]Michael Oesterle, Patrick Blöbaum, Atalanti-Anastasia Mastakouri, Elke Kirschbaum:
Beyond Single-Feature Importance with ICECREAM. CoRR abs/2307.09779 (2023) - [i9]Michaela Hardt, William Roy Orchard, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Elke Kirschbaum:
The PetShop Dataset - Finding Causes of Performance Issues across Microservices. CoRR abs/2311.04806 (2023) - 2022
- [c10]Lenon Minorics, Ali Caner Türkmen, David Kernert, Patrick Blöbaum, Laurent Callot, Dominik Janzing:
Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies. AISTATS 2022: 10534-10554 - [c9]Kailash Budhathoki, Lenon Minorics, Patrick Blöbaum, Dominik Janzing:
Causal structure-based root cause analysis of outliers. ICML 2022: 2357-2369 - [c8]Yonghan Jung, Shiva Prasad Kasiviswanathan, Jin Tian, Dominik Janzing, Patrick Blöbaum, Elias Bareinboim:
On Measuring Causal Contributions via do-interventions. ICML 2022: 10476-10501 - [i8]Patrick Blöbaum, Peter Götz, Kailash Budhathoki, Atalanti-Anastasia Mastakouri, Dominik Janzing:
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models. CoRR abs/2206.06821 (2022) - [i7]Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
Sequential Kernelized Independence Testing. CoRR abs/2212.07383 (2022) - 2021
- [c7]Kailash Budhathoki, Dominik Janzing, Patrick Blöbaum, Hoiyi Ng:
Why did the distribution change? AISTATS 2021: 1666-1674 - [i6]Kailash Budhathoki, Dominik Janzing, Patrick Blöbaum, Hoiyi Ng:
Why did the distribution change? CoRR abs/2102.13384 (2021) - 2020
- [c6]Dominik Janzing, Lenon Minorics, Patrick Blöbaum:
Feature relevance quantification in explainable AI: A causal problem. AISTATS 2020: 2907-2916 - [i5]Dominik Janzing, Patrick Blöbaum, Lenon Minorics:
Quantifying causal contribution via structure preserving interventions. CoRR abs/2007.00714 (2020)
2010 – 2019
- 2019
- [j1]Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu
, Bernhard Schölkopf:
Analysis of cause-effect inference by comparing regression errors. PeerJ Comput. Sci. 5: e169 (2019) - [i4]Dominik Janzing, Lenon Minorics, Patrick Blöbaum:
Feature relevance quantification in explainable AI: A causality problem. CoRR abs/1910.13413 (2019) - [i3]Dominik Janzing, Kailash Budhathoki, Lenon Minorics, Patrick Blöbaum:
Causal structure based root cause analysis of outliers. CoRR abs/1912.02724 (2019) - 2018
- [c5]Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf:
Cause-Effect Inference by Comparing Regression Errors. AISTATS 2018: 900-909 - [i2]Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf:
Analysis of Cause-Effect Inference via Regression Errors. CoRR abs/1802.06698 (2018) - 2017
- [c4]Patrick Blöbaum, Shohei Shimizu, Takashi Washio:
A novel principle for causal inference in data with small error variance. ESANN 2017 - [c3]Patrick Blöbaum, Shohei Shimizu
Estimation of interventional effects of features on prediction. MLSP 2017: 1-6 - 2016
- [i1]Patrick Blöbaum, Takashi Washio, Shohei Shimizu:
Error Asymmetry in Causal and Anticausal Regression. CoRR abs/1610.03263 (2016) - 2015
- [c2]Patrick Blöbaum, Alexander Schulz, Barbara Hammer:
Unsupervised Dimensionality Reduction for Transfer Learning. ESANN 2015 - [c1]Patrick Blöbaum, Shohei Shimizu
Discriminative and Generative Models in Causal and Anticausal Settings. AMBN@JSAI-isAI 2015: 209-221
Coauthor Index
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last updated on 2025-04-20 23:53 CEST by the dblp team
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