Dominik Janzing

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2005–2025

Best venue rank

Where they publish

Papers

49 indexed papers, newest first.

Year	Venue	Title	Authors
2025	AAAI	Toward Falsifying Causal Graphs Using a Permutation-Based Test.	Elias Eulig, Atalanti-Anastasia Mastakouri, Patrick Blbaum, Michaela Hardt, Dominik Janzing
2025	UAI	Toward Universal Laws of Outlier Propagation.	Aram Ebtekar, Yuhao Wang, Dominik Janzing
2024	AISTATS	Self-Compatibility: Evaluating Causal Discovery without Ground Truth.	Philipp Michael Faller, Leena C. Vankadara, Atalanti-Anastasia Mastakouri, Francesco Locatello, Dominik Janzing
2024	AISTATS	Quantifying intrinsic causal contributions via structure preserving interventions.	Dominik Janzing, Patrick Blbaum, Atalanti-Anastasia Mastakouri, Philipp Michael Faller, Lenon Minorics, Kailash Budhathoki
2023	UAI	Causal information splitting: Engineering proxy features for robustness to distribution shifts.	Bijan Mazaheri, Atalanti-Anastasia Mastakouri, Dominik Janzing, Michaela Hardt
2022	AISTATS	Obtaining Causal Information by Merging Datasets with MAXENT.	Sergio Hernan Garrido Mejia, Elke Kirschbaum, Dominik Janzing
2022	AISTATS	Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies.	Lenon Minorics, Ali Caner Trkmen, David Kernert, Patrick Blbaum, Laurent Callot, Dominik Janzing
2022	ICLR	You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction.	Osama Makansi, Julius von Kgelgen, Francesco Locatello, Peter Vincent Gehler, Dominik Janzing, Thomas Brox, Bernhard Schlkopf
2022	ICML	Causal structure-based root cause analysis of outliers.	Kailash Budhathoki, Lenon Minorics, Patrick Blbaum, Dominik Janzing
2022	ICML	Causal Inference Through the Structural Causal Marginal Problem.	Luigi Gresele, Julius von Kgelgen, Jonas M. Kbler, Elke Kirschbaum, Bernhard Schlkopf, Dominik Janzing
2022	ICML	On Measuring Causal Contributions via do-interventions.	Yonghan Jung, Shiva Prasad Kasiviswanathan, Jin Tian, Dominik Janzing, Patrick Blbaum, Elias Bareinboim
2022	ICML	Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models.	Paul Rolland, Volkan Cevher, Matthus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schlkopf, Francesco Locatello
2022	UAI	Causal forecasting: generalization bounds for autoregressive models.	Leena Chennuru Vankadara, Philipp Michael Faller, Michaela Hardt, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing
2021	AAAI	A Theory of Independent Mechanisms for Extrapolation in Generative Models.	Michel Besserve, Rmy Sun, Dominik Janzing, Bernhard Schlkopf
2021	AISTATS	Why did the distribution change?	Kailash Budhathoki, Dominik Janzing, Patrick Blbaum, Hoiyi Ng
2021	ICML	Necessary and sufficient conditions for causal feature selection in time series with latent common causes.	Atalanti-Anastasia Mastakouri, Bernhard Schlkopf, Dominik Janzing
2020	AISTATS	Feature relevance quantification in explainable AI: A causal problem.	Dominik Janzing, Lenon Minorics, Patrick Blbaum
2018	AISTATS	Group invariance principles for causal generative models.	Michel Besserve, Naji Shajarisales, Bernhard Schlkopf, Dominik Janzing
2018	AISTATS	Cause-Effect Inference by Comparing Regression Errors.	Patrick Blbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schlkopf
2018	ICML	Detecting non-causal artifacts in multivariate linear regression models.	Dominik Janzing, Bernhard Schlkopf
2017	UAI	Causal Consistency of Structural Equation Models.	Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schlkopf
2015	AISTATS	Inference of Cause and Effect with Unsupervised Inverse Regression.	Eleni Sgouritsa, Dominik Janzing, Philipp Hennig, Bernhard Schlkopf
2015	ICML	Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components.	Philipp Geiger, Kun Zhang, Bernhard Schlkopf, Mingming Gong, Dominik Janzing
2015	ICML	Removing systematic errors for exoplanet search via latent causes.	Bernhard Schlkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters
2015	ICML	Telling cause from effect in deterministic linear dynamical systems.	Naji Shajarisales, Dominik Janzing, Bernhard Schlkopf, Michel Besserve
2014	ICML	Consistency of Causal Inference under the Additive Noise Model.	Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing, Bernhard Schlkopf
2014	UAI	Inferring latent structures via information inequalities.	Rafael Chaves, Lukas Luft, Thiago O. Maciel, David Gross, Dominik Janzing, Bernhard Schlkopf
2014	UAI	Estimating Causal Effects by Bounding Confounding.	Philipp Geiger, Dominik Janzing, Bernhard Schlkopf
2013	UAI	From Ordinary Differential Equations to Structural Causal Models: the deterministic case.	Joris M. Mooij, Dominik Janzing, Bernhard Schlkopf
2013	UAI	Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders.	Eleni Sgouritsa, Dominik Janzing, Jonas Peters, Bernhard Schlkopf
2012	ICML	On causal and anticausal learning.	Bernhard Schlkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris M. Mooij
2011	ICASSP	Finding dependencies between frequencies with the kernel cross-spectral density.	Michel Besserve, Dominik Janzing, Nikos K. Logothetis, Bernhard Schlkopf
2011	UAI	Detecting low-complexity unobserved causes.	Dominik Janzing, Eleni Sgouritsa, Oliver Stegle, Jonas Peters, Bernhard Schlkopf
2011	UAI	Identifiability of Causal Graphs using Functional Models.	Jonas Peters, Joris M. Mooij, Dominik Janzing, Bernhard Schlkopf
2011	UAI	Kernel-based Conditional Independence Test and Application in Causal Discovery.	Kun Zhang, Jonas Peters, Dominik Janzing, Bernhard Schlkopf
2011	UAI	Testing whether linear equations are causal: A free probability theory approach.	Jakob Zscheischler, Dominik Janzing, Kun Zhang
2010	COLT	Causal Markov Condition for Submodular Information Measures.	Bastian Steudel, Dominik Janzing, Bernhard Schlkopf
2010	ICML	Telling cause from effect based on high-dimensional observations.	Dominik Janzing, Patrik O. Hoyer, Bernhard Schlkopf
2010	UAI	Inferring deterministic causal relations.	Povilas Daniusis, Dominik Janzing, Joris M. Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang, Bernhard Schlkopf
2010	UAI	Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery.	Kun Zhang, Bernhard Schlkopf, Dominik Janzing
2009	ICML	Regression by dependence minimization and its application to causal inference in additive noise models.	Joris M. Mooij, Dominik Janzing, Jonas Peters, Bernhard Schlkopf
2009	ICML	Detecting the direction of causal time series.	Jonas Peters, Dominik Janzing, Arthur Gretton, Bernhard Schlkopf
2009	UAI	Identifying confounders using additive noise models.	Dominik Janzing, Jonas Peters, Joris M. Mooij, Bernhard Schlkopf
2007	ESANN	Learning causality by identifying common effects with kernel-based dependence measures.	Xiaohai Sun, Dominik Janzing
2007	ESANN	Exploring the causal order of binary variables via exponential hierarchies of Markov kernels.	Xiaohai Sun, Dominik Janzing
2007	ESANN	Distinguishing between cause and effect via kernel-based complexity measures for conditional distributions.	Xiaohai Sun, Dominik Janzing, Bernhard Schlkopf
2007	ICML	A kernel-based causal learning algorithm.	Xiaohai Sun, Dominik Janzing, Bernhard Schlkopf, Kenji Fukumizu
2006	ISAIM	Causal Inference by Choosing Graphs with Most Plausible Markov Kernels.	Xiaohai Sun, Dominik Janzing, Bernhard Schlkopf
2005	GI	ber den Zusammenhang zwischen thermodynamisch reversiblem, kryptograpisch seitenkanalfreiem sowie quantenkohrentem Rechnen.	Dominik Janzing