← All authors Bernhard Schölkopf Max Planck Institute for Intelligent Systems (from arXiv:2210.16525, 2022) · ORCID · OpenAlex
75 papers in scope · 74 published · 1 on the econ.EM arXiv · 35,668 citations · h-index 39 (over the papers listed here)
Papers (1 of 75)
Multi-Armed Bandits and Quantum Channel Oracles
published 2025 · Quantum · first circulated 2023
Machine Learning for Science: Mathematics at the Interface of Data-driven and Mechanistic Modelling
published 2023 · Oberwolfach Reports
with Neil D. Lawrence, Jessica Montgomery
Kernel-Based Independence Tests for Causal Structure Learning on Functional Data
published 2023 · Entropy · 7 citations
normflows: A PyTorch Package for NormalizingFlows
published 2023 · The Journal of Open Source Software · 41 citations
with Vincent Stimper, David Liu, Andrew T. Campbell, Vincent Berenz, Lukas Ryll, José Miguel Hernández-Lobato
Instrumental variable regression via kernel maximum moment loss
published 2023 · Journal of Causal Inference · 10 citations · first circulated 2020
Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies
published 2022 · Scientific Reports · 18 citations
with Turkay Kart, Marc Fischer, Stefan Winzeck, Ben Glocker, Wenjia Bai, Robin Bülow, Carina Emmel, Lena Friedrich, Hans-Ulrich Kauczor, Thomas Keil, Thomas Kröncke, Philipp Mayer, …
working paper 2022 · arXiv
Learning dynamical systems using local stability priors
published 2022 · Journal of Computational Dynamics · 3 citations · first circulated 2020
On the Fairness of Causal Algorithmic Recourse
published 2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 51 citations · first circulated 2020
Listening to bluetooth beacons for epidemic risk mitigation
published 2022 · Scientific Reports · 12 citations · first circulated 2020
with Gilles Barthe, Roberta De Viti, Peter Druschel, Deepak Garg, Manuel Gomez-Rodriguez, Pierfrancesco Ingo, Heiner Kremer, Matthew Lentz, Lars Lorch, Aastha Mehta
Iterative Teaching by Label Synthesis
published 2021 · Neural Information Processing Systems · 1 citations
with Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Adrian Weller
Dynamic Inference with Neural Interpreters
published 2021 · Neural Information Processing Systems · 9 citations
with Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello
Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach
published 2021 · Learning for Dynamics and Control · 1 citations
with Yassine Nemmour, Jia-Jie Zhu
no link
A Theory of Independent Mechanisms for Extrapolation in Generative Models
published 2021 · Proceedings of the AAAI Conference on Artificial Intelligence · 14 citations · first circulated 2020
Function Contrastive Learning of Transferable Meta-Representations
published 2021 · International Conference on Machine Learning · 4 citations · first circulated 2020
with Muhammad Waleed Gondal, Shruti Joshi, Nasim Rahaman, Stefan Bauer, Manuel Wüthrich
A teacher-student framework to distill future trajectories
published 2021 · International Conference on Learning Representations · 1 citations
with Alexander Neitz, Giambattista Parascandolo
no link
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
published 2021 · International Conference on Artificial Intelligence and Statistics · 11 citations · first circulated 2020
Toward Causal Representation Learning
published 2021 · Proceedings of the IEEE · 1050 citations
with Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, Yoshua Bengio
Causal analysis of Covid-19 spread in Germany
published 2020 · Neural Information Processing Systems · 5 citations
with Atalanti-Anastasia Mastakouri, Atalanti A. Mastakouri
Relative gradient optimization of the Jacobian term in unsupervised deep learning
published 2020 · Työväentutkimus Vuosikirja · 7 citations
with Luigi Gresele, Giancarlo Fissore, Adrián Javaloy, Aapo Hyvärinen
Foundations and new horizons for causal inference
published 2020 · Oberwolfach Reports · 6 citations
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
published 2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 22 citations · first circulated 2019
with Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Andreas Krause, Stefan Bauer
A Commentary on the Unsupervised Learning of Disentangled Representations
published 2020 · Proceedings of the AAAI Conference on Artificial Intelligence · 29 citations
with Francesco Locatello, Stefan Bauer, Mario Lučić, Gunnar Rätsch, Sylvain Gelly, Olivier Bachem
Data scarcity, robustness and extreme multi-label classification
published 2019 · Machine Learning · 130 citations
with Rohit Babbar
Analysis of cause-effect inference by comparing regression errors
published 2019 · PeerJ Computer Science · 47 citations · first circulated 2018
Multidimensional Contrast Limited Adaptive Histogram Equalization
published 2019 · IEEE Access · 100 citations
with Vincent Stimper, Stefan Bauer, Ralph Ernstorfer, R. Patrick Xian
Detecting Confounding in Multivariate Linear Models via Spectral Analysis
published 2017 · Journal of Causal Inference · 18 citations
Absence of EEG correlates of self-referential processing depth in ALS
published 2017 · PLoS ONE · 13 citations
with Tatiana Fomina, Sebastian Weichwald, Matthis Synofzik, Jenifer Just, Lüdger Schöls, Moritz Grosse-Wentrup
Kernel Mean Embedding of Distributions: A Review and Beyond
published 2017 · Foundations and Trends® in Machine Learning · 389 citations
Kernel-Based Tests for Joint Independence
published 2017 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 5 citations
Modeling confounding by half-sibling regression
published 2016 · Proceedings of the National Academy of Sciences · 67 citations
Preface to the ACM TIST Special Issue on Causal Discovery and Inference
published 2016 · ACM Transactions on Intelligent Systems and Technology · 1 citations
Estimating diffusion networks: recovery conditions, sample complexity & soft-thresholding algorithm
published 2016 · Journal of Machine Learning Research · 22 citations
with Manuel Gomez-Rodriguez, Le Song, Hadi Daneshmand
no link
Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach
published 2015 · NeuroImage · 45 citations
Computing functions of random variables via reproducing kernel Hilbert space representations
published 2015 · Statistics and Computing · 31 citations
Gaussian Process-Based Predictive Control for Periodic Error Correction
published 2015 · IEEE Transactions on Control Systems Technology · 101 citations
with Edgar D. Klenske, Melanie N. Zeilinger, Philipp Hennig
Causal Discovery via Reproducing Kernel Hilbert Space Embeddings
published 2014 · Neural Computation · 37 citations
with Zhitang Chen, Kun Zhang, Laiwan Chan
Uncovering the structure and temporal dynamics of information propagation
published 2014 · Network Science · 149 citations
with Manuel Gomez-Rodriguez, Jure Leskovec, David Balduzzi
Causal discovery with continuous additive noise models
published 2014 · Journal of Machine Learning Research · 284 citations · first circulated 2013
Quantifying causal influences
published 2013 · The Annals of Statistics
Probabilistic movement modeling for intention inference in human–robot interaction
published 2013 · The International Journal of Robotics Research · 167 citations
with Zhikun Wang, Katharina Mülling, Marc Peter Deisenroth, Heni Ben Amor, David Vogt, Jan Peters
On the empirical estimation of integral probability metrics
published 2012 · Electronic Journal of Statistics · 238 citations
Contents Vol. 73, 2012
published 2012 · Human Heredity
with Thomas Künzel, Konstantin Strauch, Jianzhong Ma, Feifei Xiao, Momiao Xiong, Angeline S. Andrew, Hermann Brenner, Eric J. Duell, Aage Haugen, Clive Hoggart, Rayjean J. Hung, Philip Lazarus, …
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
published 2011 · Neural Information Processing Systems · 103 citations
with Carsten Rother, Martin Kiefel, Lumin Zhang, Peter Gehler
no link
Causal Inference on Discrete Data Using Additive Noise Models
published 2011 · IEEE Transactions on Pattern Analysis and Machine Intelligence · 148 citations
Probabilistic latent variable models for distinguishing between cause and effect
published 2010 · Neural Information Processing Systems · 95 citations
no link
Multi-way set enumeration in weight tensors
published 2010 · Machine Learning · 22 citations
with Elisabeth Georgii, Koji Tsuda
Causal Inference Using the Algorithmic Markov Condition
published 2010 · IEEE Transactions on Information Theory · 228 citations · first circulated 2008
Hilbert Space Embeddings and Metrics on Probability Measures
published 2010 · Journal of Machine Learning Research · 485 citations · first circulated 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
published 2009 · Neural Information Processing Systems · 159 citations
no link
Does Cognitive Science Need Kernels?
published 2009 · Trends in Cognitive Sciences · 67 citations
with Frank Jäkel, Felix A. Wichmann
Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]
published 2009 · IEEE Transactions on Neural Networks · 1077 citations
with Olivier Chapelle, Eds. A. Zien
Kernels, regularization and differential equations
published 2008 · Pattern Recognition · 38 citations
with Florian Steinke
Similarity, kernels, and the triangle inequality
published 2008 · Journal of Mathematical Psychology · 46 citations
with Frank Jäkel, Felix A. Wichmann
Causal reasoning by evaluating the complexity of conditional densities with kernel methods
published 2008 · Neurocomputing · 28 citations
An Analysis of Inference with the Universum
published 2007 · Neural Information Processing Systems · 93 citations
with Olivier Chapelle, Alekh Agarwal, Fabian H. Sinz
no link
A tutorial on kernel methods for categorization
published 2007 · Journal of Mathematical Psychology · 83 citations
with Frank Jäkel, Felix A. Wichmann
A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression
published 2006 · Neural Computation · 149 citations
with Matthias Franz
Comment
published 2006 · Statistical Science · 1 citations
with Olivier Bousquet
MACHINE LEARNING METHODS FOR ESTIMATING OPERATOR EQUATIONS
published 2006 · IFAC Proceedings Volumes · 3 citations
with Florian Steinke
A tutorial on ν ‐support vector machines
published 2005 · Applied Stochastic Models in Business and Industry · 477 citations
with Pai-Hsuen Chen, Chih-Jen Lin
Kernel Methods for Implicit Surface Modeling
published 2004 · Neural Information Processing Systems · 55 citations
with Joachim Giesen, Simon Spalinger
no link
A tutorial on support vector regression
published 2004 · Statistics and Computing · 13114 citations
with Alex Smola
Experimentally optimal ν in support vector regression for different noise models and parameter settings
published 2003 · Neural Networks · 140 citations
with Athanassia Chalimourda, Alex Smola
Semi-Supervised Learning through Principal Directions Estimation
published 2003 · International Conference on Machine Learning · 3 citations
with Olivier Chapelle, Jason Weston
no link
Dealing with large diagonals in kernel matrices
published 2003 · Annals of the Institute of Statistical Mathematics · 39 citations
with Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble
Training Invariant Support Vector Machines
published 2002 · Machine Learning · 582 citations
with Dennis DeCoste
An introduction to kernel-based learning algorithms
published 2001 · IEEE Transactions on Neural Networks · 3492 citations
with K. Müller, S. Mika, Gunnar Rätsch, Koji Tsuda
Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators
published 2001 · IEEE Transactions on Information Theory · 175 citations
Input space versus feature space in kernel-based methods
published 1999 · IEEE Transactions on Neural Networks · 1176 citations
with S. Mika, Christopher J. C. Burges, Phil Knirsch, K. Müller, Gunnar Rätsch, Alexander J. Smola
On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion
published 1998 · Algorithmica · 297 citations
with Alexander J. Smola
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
published 1998 · Neural Computation · 8094 citations
with Alexander J. Smola, Klaus-Robert Müller
The connection between regularization operators and support vector kernels
published 1998 · Neural Networks · 630 citations
with Alex Smola, Klaus-Robert Müller
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
published 1997 · IEEE Transactions on Signal Processing · 1409 citations
Advances in neural information processing systems : proceedings of the ... conference
published 1989 · Medical Entomology and Zoology · 14 citations
with David S. Touretzky, Richard P. Lippmann, John Moody, S. J. Hanson, J. D. Cowan, Ceinwen Giles, Gerald Tesauro, J. Alspector, Todd K. Leen, Michael C. Mozer, Michael E. Hasselmo, Stephen José Hanson, …
no link
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