default search action
Jonas Peters
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j14]Sorawit Saengkyongam, Niklas Pfister, Predrag Klasnja, Susan A. Murphy, Jonas Peters:
Effect-Invariant Mechanisms for Policy Generalization. J. Mach. Learn. Res. 25: 34:1-34:36 (2024) - [c22]Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters:
Identifying Representations for Intervention Extrapolation. ICLR 2024 - [i28]Margherita Lazzaretto, Jonas Peters, Niklas Pfister:
Invariant Subspace Decomposition. CoRR abs/2404.09962 (2024) - [i27]Juan L. Gamella, Jonas Peters, Peter Bühlmann:
The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology. CoRR abs/2404.11341 (2024) - [i26]Felix Schur, Jonas Peters:
DecoR: Deconfounding Time Series with Robust Regression. CoRR abs/2406.07005 (2024) - 2023
- [j13]Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister:
Invariant Policy Learning: A Causal Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8606-8620 (2023) - [i25]Frederik Hytting Jørgensen, Sebastian Weichwald, Jonas Peters:
Unfair Utilities and First Steps Towards Improving Them. CoRR abs/2306.00636 (2023) - [i24]Sorawit Saengkyongam, Niklas Pfister, Predrag V. Klasnja, Susan A. Murphy, Jonas Peters:
Effect-Invariant Mechanisms for Policy Generalization. CoRR abs/2306.10983 (2023) - [i23]Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Ravikumar, Niklas Pfister, Jonas Peters:
Identifying Representations for Intervention Extrapolation. CoRR abs/2310.04295 (2023) - [i22]Nicola Gnecco, Jonas Peters, Sebastian Engelke, Niklas Pfister:
Boosted Control Functions. CoRR abs/2310.05805 (2023) - 2022
- [j12]Martin Emil Jakobsen, Rajen Dinesh Shah, Peter Bühlmann, Jonas Peters:
Structure Learning for Directed Trees. J. Mach. Learn. Res. 23: 159:1-159:97 (2022) - [j11]Rune Christiansen, Niklas Pfister, Martin Emil Jakobsen, Nicola Gnecco, Jonas Peters:
A Causal Framework for Distribution Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6614-6630 (2022) - [c21]Phillip B. Mogensen, Nikolaj Thams, Jonas Peters:
Invariant Ancestry Search. ICML 2022: 15832-15857 - [c20]Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister, Jonas Peters:
Exploiting Independent Instruments: Identification and Distribution Generalization. ICML 2022: 18935-18958 - [c19]Niklas Pfister, Jonas Peters:
Identifiability of sparse causal effects using instrumental variables. UAI 2022: 1613-1622 - [p1]Jonas Peters, Stefan Bauer, Niklas Pfister:
Causal Models for Dynamical Systems. Probabilistic and Causal Inference 2022: 671-690 - [i21]Phillip B. Mogensen, Nikolaj Thams, Jonas Peters:
Invariant Ancestry Search. CoRR abs/2202.00913 (2022) - [i20]Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister, Jonas Peters:
Exploiting Independent Instruments: Identification and Distribution Generalization. CoRR abs/2202.01864 (2022) - [i19]Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister:
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR abs/2202.06052 (2022) - 2021
- [j10]Sebastian Weichwald, Jonas Peters:
Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness. J. Cogn. Neurosci. 33(2): 226-247 (2021) - [c18]Michael Oberst, Nikolaj Thams, Jonas Peters, David A. Sontag:
Regularizing towards Causal Invariance: Linear Models with Proxies. ICML 2021: 8260-8270 - [c17]Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister:
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) 2021: 246-258 - [i18]Michael Oberst, Nikolaj Thams, Jonas Peters, David A. Sontag:
Regularizing towards Causal Invariance: Linear Models with Proxies. CoRR abs/2103.02477 (2021) - [i17]Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister:
Invariant Policy Learning: A Causal Perspective. CoRR abs/2106.00808 (2021) - [i16]Martin Emil Jakobsen, Rajen Dinesh Shah, Peter Bühlmann, Jonas Peters:
Structure Learning for Directed Trees. CoRR abs/2108.08871 (2021) - 2020
- [j9]Rune Christiansen, Jonas Peters:
Switching Regression Models and Causal Inference in the Presence of Discrete Latent Variables. J. Mach. Learn. Res. 21: 41:1-41:46 (2020) - [i15]Martin Emil Jakobsen, Jonas Peters:
Distributional Robustness of K-class Estimators and the PULSE. CoRR abs/2005.03353 (2020)
2010 – 2019
- 2018
- [j8]Mateo Rojas-Carulla, Bernhard Schölkopf, Richard E. Turner, Jonas Peters:
Invariant Models for Causal Transfer Learning. J. Mach. Learn. Res. 19: 36:1-36:34 (2018) - [i14]Niklas Pfister, Stefan Bauer, Jonas Peters:
Identifying Causal Structure in Large-Scale Kinetic Systems. CoRR abs/1810.11776 (2018) - 2016
- [j7]Joris M. Mooij, Jonas Peters, Dominik Janzing, Jakob Zscheischler, Bernhard Schölkopf:
Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks. J. Mach. Learn. Res. 17: 32:1-32:102 (2016) - [j6]Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters:
Modeling confounding by half-sibling regression. Proc. Natl. Acad. Sci. USA 113(27): 7391-7398 (2016) - [c16]Stefan Bauer, Bernhard Schölkopf, Jonas Peters:
The Arrow of Time in Multivariate Time Series. ICML 2016: 2043-2051 - [i13]Stephan Bongers, Jonas Peters, Bernhard Schölkopf, Joris M. Mooij:
Structural Causal Models: Cycles, Marginalizations, Exogenous Reparametrizations and Reductions. CoRR abs/1611.06221 (2016) - 2015
- [j5]Jonas Peters, Peter Bühlmann:
Structural Intervention Distance for Evaluating Causal Graphs. Neural Comput. 27(3): 771-799 (2015) - [j4]Bernhard Schölkopf, Krikamol Muandet, Kenji Fukumizu, Stefan Harmeling, Jonas Peters:
Computing functions of random variables via reproducing kernel Hilbert space representations. Stat. Comput. 25(4): 755-766 (2015) - [c15]Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters:
Removing systematic errors for exoplanet search via latent causes. ICML 2015: 2218-2226 - [c14]Dominik Rothenhäusler, Christina Heinze, Jonas Peters, Nicolai Meinshausen:
BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions. NIPS 2015: 1513-1521 - [e2]Ricardo Silva, Ilya Shpitser, Robin J. Evans, Jonas Peters, Tom Claassen:
Proceedings of the UAI 2015 Workshop on Advances in Causal Inference co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), Amsterdam, The Netherlands, July 16, 2015. CEUR Workshop Proceedings 1504, CEUR-WS.org 2015 [contents] - [i12]Bernhard Schölkopf, Krikamol Muandet, Kenji Fukumizu, Jonas Peters:
Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations. CoRR abs/1501.06794 (2015) - [i11]Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters:
Removing systematic errors for exoplanet search via latent causes. CoRR abs/1505.03036 (2015) - 2014
- [j3]Jonas Peters, Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf:
Causal discovery with continuous additive noise models. J. Mach. Learn. Res. 15(1): 2009-2053 (2014) - [e1]Joris M. Mooij, Dominik Janzing, Jonas Peters, Tom Claassen, Antti Hyttinen:
Proceedings of the UAI 2014 Workshop Causal Inference: Learning and Prediction co-located with 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014), Quebec City, Canada, July 27, 2014. CEUR Workshop Proceedings 1274, CEUR-WS.org 2014 [contents] - [i10]Joris M. Mooij, Jonas Peters, Dominik Janzing, Jakob Zscheischler, Bernhard Schölkopf:
Distinguishing cause from effect using observational data: methods and benchmarks. CoRR abs/1412.3773 (2014) - 2013
- [j2]Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson:
Counterfactual reasoning and learning systems: the example of computational advertising. J. Mach. Learn. Res. 14(1): 3207-3260 (2013) - [c13]Bernhard Schölkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris M. Mooij:
Semi-supervised Learning in Causal and Anticausal Settings. Empirical Inference 2013: 129-141 - [c12]Jonas Peters, Dominik Janzing, Bernhard Schölkopf:
Causal Inference on Time Series using Restricted Structural Equation Models. NIPS 2013: 154-162 - [c11]Eleni Sgouritsa, Dominik Janzing, Jonas Peters, Bernhard Schölkopf:
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders. UAI 2013 - [i9]Eleni Sgouritsa, Dominik Janzing, Jonas Peters, Bernhard Schölkopf:
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders. CoRR abs/1309.6860 (2013) - [i8]Peter Bühlmann, Jonas Peters, Jan Ernest:
CAM: Causal Additive Models, high-dimensional order search and penalized regression. CoRR abs/1310.1533 (2013) - 2012
- [c10]Bernhard Schölkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris M. Mooij:
On causal and anticausal learning. ICML 2012 - [i7]Dominik Janzing, Eleni Sgouritsa, Oliver Stegle, Jonas Peters, Bernhard Schölkopf:
Detecting low-complexity unobserved causes. CoRR abs/1202.3737 (2012) - [i6]Jonas Peters, Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf:
Identifiability of Causal Graphs using Functional Models. CoRR abs/1202.3757 (2012) - [i5]Kun Zhang, Jonas Peters, Dominik Janzing, Bernhard Schölkopf:
Kernel-based Conditional Independence Test and Application in Causal Discovery. CoRR abs/1202.3775 (2012) - [i4]Dominik Janzing, Jonas Peters, Joris M. Mooij, Bernhard Schölkopf:
Identifying confounders using additive noise models. CoRR abs/1205.2640 (2012) - [i3]Jonas Peters, Dominik Janzing, Bernhard Schölkopf:
Causal Inference on Time Series using Structural Equation Models. CoRR abs/1207.5136 (2012) - [i2]Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson:
Counterfactual Reasoning and Learning Systems. CoRR abs/1209.2355 (2012) - 2011
- [j1]Jonas Peters, Dominik Janzing, Bernhard Schölkopf:
Causal Inference on Discrete Data Using Additive Noise Models. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2436-2450 (2011) - [c9]Dominik Janzing, Eleni Sgouritsa, Oliver Stegle, Jonas Peters, Bernhard Schölkopf:
Detecting low-complexity unobserved causes. UAI 2011: 383-391 - [c8]Jonas Peters, Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf:
Identifiability of Causal Graphs using Functional Models. UAI 2011: 589-598 - [c7]Kun Zhang, Jonas Peters, Dominik Janzing, Bernhard Schölkopf:
Kernel-based Conditional Independence Test and Application in Causal Discovery. UAI 2011: 804-813 - [i1]Bernhard Schölkopf, Dominik Janzing, Jonas Peters, Kun Zhang:
Robust Learning via Cause-Effect Models. CoRR abs/1112.2738 (2011) - 2010
- [c6]Jonas Peters, Dominik Janzing, Bernhard Schölkopf:
Identifying Cause and Effect on Discrete Data using Additive Noise Models. AISTATS 2010: 597-604
2000 – 2009
- 2009
- [c5]Joris M. Mooij, Dominik Janzing, Jonas Peters, Bernhard Schölkopf:
Regression by dependence minimization and its application to causal inference in additive noise models. ICML 2009: 745-752 - [c4]Jonas Peters, Dominik Janzing, Arthur Gretton, Bernhard Schölkopf:
Detecting the direction of causal time series. ICML 2009: 801-808 - [c3]Dominik Janzing, Jonas Peters, Joris M. Mooij, Bernhard Schölkopf:
Identifying confounders using additive noise models. UAI 2009: 249-257 - 2008
- [c2]Jonas Peters, Dominik Janzing, Arthur Gretton, Bernhard Schölkopf:
Kernel Methods for Detecting the Direction of Time Series. GfKl 2008: 57-66 - [c1]Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf:
Nonlinear causal discovery with additive noise models. NIPS 2008: 689-696
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint