Assessing the overall and partial causal well-specification of nonlinear
additive noise models

v1v2v3 (latest)

Assessing the overall and partial causal well-specification of nonlinear additive noise models

25 October 2023

Christoph Schultheiss

Peter Bühlmann

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Papers citing "Assessing the overall and partial causal well-specification of nonlinear additive noise models"

15 / 15 papers shown

Title
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 128 3 0 04 Feb 2025
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data Mathieu Chevalley Yusuf Roohani Arash Mehrjou J. Leskovec Patrick Schwab CML 80 38 0 31 Oct 2022
On the Identifiability and Estimation of Causal Location-Scale Noise Models Alexander Immer Christoph Schultheiss Julia E. Vogt Bernhard Schölkopf Peter Buhlmann Alexander Marx CML 82 36 0 13 Oct 2022
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model Eric V. Strobl Thomas A. Lasko CML 117 35 0 25 May 2022
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 225 1,233 0 02 Mar 2021
A simple measure of conditional dependence Mona Azadkia S. Chatterjee 151 131 0 27 Oct 2019
The Hardness of Conditional Independence Testing and the Generalised Covariance Measure Rajen Dinesh Shah J. Peters 152 303 0 19 Apr 2018
Kernel-based Tests for Joint Independence Niklas Pfister Peter Buhlmann Bernhard Schölkopf J. Peters 59 186 0 01 Mar 2016
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 124 974 0 06 Jan 2015
On the Intersection Property of Conditional Independence and its Application to Causal Discovery J. Peters CML 64 30 0 03 Mar 2014
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 126 325 0 06 Oct 2013
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 110 573 0 26 Sep 2013
The Do-Calculus Revisited Judea Pearl CML 143 167 0 16 Oct 2012
Variable selection with error control: Another look at Stability Selection Rajen Dinesh Shah R. Samworth 93 357 0 27 May 2011
P-values for high-dimensional regression N. Meinshausen L. Meier Peter Buhlmann 125 441 0 13 Nov 2008

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