More from the Same Authors

• 2021 Spotlight: Iterative Teaching by Label Synthesis »
  Weiyang Liu · Zhen Liu · Hanchen Wang · Liam Paull · Bernhard Schölkopf · Adrian Weller
• 2021 Spotlight: DiBS: Differentiable Bayesian Structure Learning »
  Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause
• 2021 : Distributionally robust chance constrained programs using maximum mean discrepancy »
  Yassine Nemmour · Bernhard Schölkopf · Jia-Jie Zhu
• 2021 : Explainable medical image analysis by leveraging human-interpretable features through mutual information minimization »
  Erick M Cobos · Thomas Kuestner · Bernhard Schölkopf · Sergios Gatidis
• 2021 : Amortized Bayesian inference of gravitational waves with normalizing flows »
  Maximilian Dax · Stephen Green · Jakob Macke · Bernhard Schölkopf
• 2021 : DiBS: Differentiable Bayesian Structure Learning »
  Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause
• 2021 : Learning Neural Causal Models with Active Interventions »
  Nino Scherrer · Olexa Bilaniuk · Yashas Annadani · Anirudh Goyal · Patrick Schwab · Bernhard Schölkopf · Michael Mozer · Yoshua Bengio · Stefan Bauer · Nan Rosemary Ke
• 2021 : On the Robustness of Causal Algorithmic Recourse »
  Ricardo Dominguez-Olmedo · Amir Karimi · Bernhard Schölkopf
• 2022 : Atmospheric retrievals of exoplanets using learned parameterizations of pressure-temperature profiles »
  Timothy Gebhard · Daniel Angerhausen · Björn Konrad · Eleonora Alei · Sascha Quanz · Bernhard Schölkopf
• 2022 : Addressing out-of-distribution data for flow-based gravitational wave inference »
  Maximilian Dax · Stephen Green · Jonas Wildberger · Jonathan Gair · Michael Puerrer · Jakob Macke · Alessandra Buonanno · Bernhard Schölkopf
• 2022 : Causal Discovery for Modular World Models »
  Anson Lei · Bernhard Schölkopf · Ingmar Posner
• 2022 : Flow Annealed Importance Sampling Bootstrap »
  Laurence Midgley · Vincent Stimper · Gregor Simm · Bernhard Schölkopf · José Miguel Hernández-Lobato
• 2022 : A Causal Framework to Quantify Robustness of Mathematical Reasoning with Language Models »
  Alessandro Stolfo · Zhijing Jin · Kumar Shridhar · Bernhard Schölkopf · Mrinmaya Sachan
• 2022 : Evaluating vaccine allocation strategies using simulation-assisted causal modelling »
  Armin Kekić · Jonas Dehning · Luigi Gresele · Julius von Kügelgen · Viola Priesemann · Bernhard Schölkopf
• 2022 : Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions »
  Hamza Keurti · Hsiao-Ru Pan · Michel Besserve · Benjamin F. Grewe · Bernhard Schölkopf
• 2022 : Amortized Inference for Causal Structure Learning »
  Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf
• 2022 : Fifteen-minute Competition Overview Video »
  Nico Gürtler · Georg Martius · Pavel Kolev · Sebastian Blaes · Manuel Wuethrich · Markus Wulfmeier · Cansu Sancaktar · Martin Riedmiller · Arthur Allshire · Bernhard Schölkopf · Annika Buchholz · Stefan Bauer
• 2022 : A General-Purpose Neural Architecture for Geospatial Systems »
  Martin Weiss · Nasim Rahaman · Frederik Träuble · Francesco Locatello · Alexandre Lacoste · Yoshua Bengio · Erran Li Li · Chris Pal · Bernhard Schölkopf
• 2023 Poster: A Measure-Theoretic Axiomatisation of Causality »
  Junhyung Park · Simon Buchholz · Bernhard Schölkopf · Krikamol Muandet
• 2023 Poster: Learning Linear Causal Representations from Interventions under General Nonlinear Mixing »
  Simon Buchholz · Goutham Rajendran · Elan Rosenfeld · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar
• 2023 Poster: Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data »
  Siyuan Guo · Viktor Toth · Bernhard Schölkopf · Ferenc Huszar
• 2023 Poster: CLadder: Assessing Causal Reasoning in Language Models »
  Zhijing Jin · Yuen Chen · Felix Leeb · Luigi Gresele · Ojasv Kamal · Zhiheng LYU · Kevin Blin · Fernando Gonzalez Adauto · Max Kleiman-Weiner · Mrinmaya Sachan · Bernhard Schölkopf
• 2023 Poster: Nonparametric Identifiability of Causal Representations from Unknown Interventions »
  Julius von Kügelgen · Michel Besserve · Liang Wendong · Luigi Gresele · Armin Kekić · Elias Bareinboim · David Blei · Bernhard Schölkopf
• 2023 Poster: SE(3) Equivariant Augmented Coupling Flows »
  Laurence Midgley · Vincent Stimper · Javier Antorán · Emile Mathieu · Bernhard Schölkopf · José Miguel Hernández-Lobato
• 2023 Poster: Controlling Text-to-Image Diffusion by Orthogonal Finetuning »
  Zeju Qiu · Weiyang Liu · Haiwen Feng · Yuxuan Xue · Yao Feng · Zhen Liu · Dan Zhang · Adrian Weller · Bernhard Schölkopf
• 2023 Poster: Leveraging sparse and shared feature activations for disentangled representation learning »
  Marco Fumero · Florian Wenzel · Luca Zancato · Alessandro Achille · Emanuele Rodolà · Stefano Soatto · Bernhard Schölkopf · Francesco Locatello
• 2023 Poster: Causal Component Analysis »
  Liang Wendong · Armin Kekić · Julius von Kügelgen · Simon Buchholz · Michel Besserve · Luigi Gresele · Bernhard Schölkopf
• 2023 Poster: Flow Matching for Scalable Simulation-Based Inference »
  Jonas Wildberger · Maximilian Dax · Simon Buchholz · Stephen Green · Jakob H Macke · Bernhard Schölkopf
• 2023 Poster: Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features »
  Cian Eastwood · Shashank Singh · Andrei L Nicolicioiu · Marin Vlastelica Pogančić · Julius von Kügelgen · Bernhard Schölkopf
• 2023 Oral: A Measure-Theoretic Axiomatisation of Causality »
  Junhyung Park · Simon Buchholz · Bernhard Schölkopf · Krikamol Muandet
• 2023 Oral: Learning Linear Causal Representations from Interventions under General Nonlinear Mixing »
  Simon Buchholz · Goutham Rajendran · Elan Rosenfeld · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar
• 2023 Workshop: Causal Representation Learning »
  Sara Magliacane · Atalanti Mastakouri · Yuki Asano · Claudia Shi · Cian Eastwood · Sébastien Lachapelle · Bernhard Schölkopf · Caroline Uhler
• 2022 Spotlight: Lightning Talks 1A-3 »
  Kimia Noorbakhsh · Ronan Perry · Qi Lyu · Jiawei Jiang · Christian Toth · Olivier Jeunen · Xin Liu · Yuan Cheng · Lei Li · Manuel Rodriguez · Julius von Kügelgen · Lars Lorch · Nicolas Donati · Lukas Burkhalter · Xiao Fu · Zhongdao Wang · Songtao Feng · Ciarán Gilligan-Lee · Rishabh Mehrotra · Fangcheng Fu · Jing Yang · Bernhard Schölkopf · Ya-Li Li · Christian Knoll · Maks Ovsjanikov · Andreas Krause · Shengjin Wang · Hong Zhang · Mounia Lalmas · Bolin Ding · Bo Du · Yingbin Liang · Franz Pernkopf · Robert Peharz · Anwar Hithnawi · Julius von Kügelgen · Bo Li · Ce Zhang
• 2022 Spotlight: Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis »
  Ronan Perry · Julius von Kügelgen · Bernhard Schölkopf
• 2022 Spotlight: Embrace the Gap: VAEs Perform Independent Mechanism Analysis »
  Patrik Reizinger · Luigi Gresele · Jack Brady · Julius von Kügelgen · Dominik Zietlow · Bernhard Schölkopf · Georg Martius · Wieland Brendel · Michel Besserve
• 2022 Competition: Real Robot Challenge III - Learning Dexterous Manipulation from Offline Data in the Real World »
  Nico Gürtler · Georg Martius · Sebastian Blaes · Pavel Kolev · Cansu Sancaktar · Stefan Bauer · Manuel Wuethrich · Markus Wulfmeier · Martin Riedmiller · Arthur Allshire · Annika Buchholz · Bernhard Schölkopf
• 2022 : Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions »
  Hamza Keurti · Hsiao-Ru Pan · Michel Besserve · Benjamin F. Grewe · Bernhard Schölkopf
• 2022 : Panel Discussion »
  Cheng Zhang · Mihaela van der Schaar · Ilya Shpitser · Aapo Hyvarinen · Yoshua Bengio · Bernhard Schölkopf
• 2022 Poster: Exploring the Latent Space of Autoencoders with Interventional Assays »
  Felix Leeb · Stefan Bauer · Michel Besserve · Bernhard Schölkopf
• 2022 Poster: Amortized Inference for Causal Structure Learning »
  Lars Lorch · Scott Sussex · Jonas Rothfuss · Andreas Krause · Bernhard Schölkopf
• 2022 Poster: Neural Attentive Circuits »
  Martin Weiss · Nasim Rahaman · Francesco Locatello · Chris Pal · Yoshua Bengio · Bernhard Schölkopf · Erran Li Li · Nicolas Ballas
• 2022 Poster: Assaying Out-Of-Distribution Generalization in Transfer Learning »
  Florian Wenzel · Andrea Dittadi · Peter Gehler · Carl-Johann Simon-Gabriel · Max Horn · Dominik Zietlow · David Kernert · Chris Russell · Thomas Brox · Bernt Schiele · Bernhard Schölkopf · Francesco Locatello
• 2022 Poster: Direct Advantage Estimation »
  Hsiao-Ru Pan · Nico Gürtler · Alexander Neitz · Bernhard Schölkopf
• 2022 Poster: Probable Domain Generalization via Quantile Risk Minimization »
  Cian Eastwood · Alexander Robey · Shashank Singh · Julius von Kügelgen · Hamed Hassani · George J. Pappas · Bernhard Schölkopf
• 2022 Poster: Interventions, Where and How? Experimental Design for Causal Models at Scale »
  Panagiotis Tigas · Yashas Annadani · Andrew Jesson · Bernhard Schölkopf · Yarin Gal · Stefan Bauer
• 2022 Poster: Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis »
  Ronan Perry · Julius von Kügelgen · Bernhard Schölkopf
• 2022 Poster: Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization »
  Aniket Das · Bernhard Schölkopf · Michael Muehlebach
• 2022 Poster: AutoML Two-Sample Test »
  Jonas M. Kübler · Vincent Stimper · Simon Buchholz · Krikamol Muandet · Bernhard Schölkopf
• 2022 Poster: Embrace the Gap: VAEs Perform Independent Mechanism Analysis »
  Patrik Reizinger · Luigi Gresele · Jack Brady · Julius von Kügelgen · Dominik Zietlow · Bernhard Schölkopf · Georg Martius · Wieland Brendel · Michel Besserve
• 2022 Poster: When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment »
  Zhijing Jin · Sydney Levine · Fernando Gonzalez Adauto · Ojasv Kamal · Maarten Sap · Mrinmaya Sachan · Rada Mihalcea · Josh Tenenbaum · Bernhard Schölkopf
• 2022 Poster: Function Classes for Identifiable Nonlinear Independent Component Analysis »
  Simon Buchholz · Michel Besserve · Bernhard Schölkopf
• 2021 : Live Q&A Session 1 with Yoshua Bengio, Leyla Isik, Konrad Kording, Bernhard Scholkopf, Amit Sharma, Joshua Vogelstein, Weiwei Yang »
  Yoshua Bengio · Leyla Isik · Konrad Kording · Bernhard Schölkopf · Joshua T Vogelstein · Weiwei Yang
• 2021 : Dominguez Olmedo, Karimi, Schölkopf - On the Adversarial Robustness of Causal Algorithmic Recourse »
  Ricardo Dominguez-Olmedo · Amir Karimi · Bernhard Schölkopf
• 2021 : Panel Discussion 3 »
  Taylor Webb · Hakwan Lau · Bernhard Schölkopf · Jiangying Zhou · Lior Horesh · Francesca Rossi
• 2021 : Causal World Models »
  Bernhard Schölkopf
• 2021 : Boxhead: A Dataset for Learning Hierarchical Representations »
  Yukun Chen · Andrea Dittadi · Frederik Träuble · Stefan Bauer · Bernhard Schölkopf
• 2021 Workshop: Causal Inference & Machine Learning: Why now? »
  Elias Bareinboim · Bernhard Schölkopf · Terrence Sejnowski · Yoshua Bengio · Judea Pearl
• 2021 Poster: Dynamic Inference with Neural Interpreters »
  Nasim Rahaman · Muhammad Waleed Gondal · Shruti Joshi · Peter Gehler · Yoshua Bengio · Francesco Locatello · Bernhard Schölkopf
• 2021 Poster: Causal Influence Detection for Improving Efficiency in Reinforcement Learning »
  Maximilian Seitzer · Bernhard Schölkopf · Georg Martius
• 2021 Poster: Independent mechanism analysis, a new concept? »
  Luigi Gresele · Julius von Kügelgen · Vincent Stimper · Bernhard Schölkopf · Michel Besserve
• 2021 : Real Robot Challenge II + Q&A »
  Stefan Bauer · Joel Akpo · Manuel Wuethrich · Nan Rosemary Ke · Anirudh Goyal · Thomas Steinbrenner · Felix Widmaier · Annika Buchholz · Bernhard Schölkopf · Dieter Büchler · Ludovic Righetti · Franziska Meier
• 2021 Poster: Iterative Teaching by Label Synthesis »
  Weiyang Liu · Zhen Liu · Hanchen Wang · Liam Paull · Bernhard Schölkopf · Adrian Weller
• 2021 Poster: The Inductive Bias of Quantum Kernels »
  Jonas Kübler · Simon Buchholz · Bernhard Schölkopf
• 2021 Poster: Backward-Compatible Prediction Updates: A Probabilistic Approach »
  Frederik Träuble · Julius von Kügelgen · Matthäus Kleindessner · Francesco Locatello · Bernhard Schölkopf · Peter Gehler
• 2021 Poster: Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style »
  Julius von Kügelgen · Yash Sharma · Luigi Gresele · Wieland Brendel · Bernhard Schölkopf · Michel Besserve · Francesco Locatello
• 2021 Poster: DiBS: Differentiable Bayesian Structure Learning »
  Lars Lorch · Jonas Rothfuss · Bernhard Schölkopf · Andreas Krause
• 2021 Poster: Regret Bounds for Gaussian-Process Optimization in Large Domains »
  Manuel Wuethrich · Bernhard Schölkopf · Andreas Krause
• 2020 : Contributed Talk 3: Algorithmic Recourse: from Counterfactual Explanations to Interventions »
  Amir-Hossein Karimi · Bernhard Schölkopf · Isabel Valera
• 2020 Workshop: Causal Discovery and Causality-Inspired Machine Learning »
  Biwei Huang · Sara Magliacane · Kun Zhang · Danielle Belgrave · Elias Bareinboim · Daniel Malinsky · Thomas Richardson · Christopher Meek · Peter Spirtes · Bernhard Schölkopf
• 2020 Memorial: In Memory of Olivier Chapelle »
  Bernhard Schölkopf · Andre Elisseeff · Olivier Bousquet · Vladimir Vapnik · Jason E Weston
• 2020 Poster: Learning Kernel Tests Without Data Splitting »
  Jonas Kübler · Wittawat Jitkrittum · Bernhard Schölkopf · Krikamol Muandet
• 2020 Poster: Algorithmic recourse under imperfect causal knowledge: a probabilistic approach »
  Amir-Hossein Karimi · Julius von Kügelgen · Bernhard Schölkopf · Isabel Valera
• 2020 Poster: Causal analysis of Covid-19 Spread in Germany »
  Atalanti Mastakouri · Bernhard Schölkopf
• 2020 Spotlight: Algorithmic recourse under imperfect causal knowledge: a probabilistic approach »
  Amir-Hossein Karimi · Julius von Kügelgen · Bernhard Schölkopf · Isabel Valera
• 2020 Poster: Relative gradient optimization of the Jacobian term in unsupervised deep learning »
  Luigi Gresele · Giancarlo Fissore · Adrián Javaloy · Bernhard Schölkopf · Aapo Hyvarinen
• 2019 : Bernhard Schölkopf »
  Bernhard Schölkopf
• 2019 : Poster Session »
  Ethan Harris · Tom White · Oh Hyeon Choung · Takashi Shinozaki · Dipan Pal · Katherine L. Hermann · Judy Borowski · Camilo Fosco · Chaz Firestone · Vijay Veerabadran · Benjamin Lahner · Chaitanya Ryali · Fenil Doshi · Pulkit Singh · Sharon Zhou · Michel Besserve · Michael Chang · Anelise Newman · Mahesan Niranjan · Jonathon Hare · Daniela Mihai · Marios Savvides · Simon Kornblith · Christina M Funke · Aude Oliva · Virginia de Sa · Dmitry Krotov · Colin Conwell · George Alvarez · Alex Kolchinski · Shengjia Zhao · Mitchell Gordon · Michael Bernstein · Stefano Ermon · Arash Mehrjou · Bernhard Schölkopf · John Co-Reyes · Michael Janner · Jiajun Wu · Josh Tenenbaum · Sergey Levine · Yalda Mohsenzadeh · Zhenglong Zhou
• 2019 Poster: On the Fairness of Disentangled Representations »
  Francesco Locatello · Gabriele Abbati · Thomas Rainforth · Stefan Bauer · Bernhard Schölkopf · Olivier Bachem
• 2019 Poster: On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset »
  Muhammad Waleed Gondal · Manuel Wuethrich · Djordje Miladinovic · Francesco Locatello · Martin Breidt · Valentin Volchkov · Joel Akpo · Olivier Bachem · Bernhard Schölkopf · Stefan Bauer
• 2019 Poster: Perceiving the arrow of time in autoregressive motion »
  Kristof Meding · Dominik Janzing · Bernhard Schölkopf · Felix A. Wichmann
• 2019 Poster: Selecting causal brain features with a single conditional independence test per feature »
  Atalanti Mastakouri · Bernhard Schölkopf · Dominik Janzing
• 2019 Poster: Kernel Stein Tests for Multiple Model Comparison »
  Jen Ning Lim · Makoto Yamada · Bernhard Schölkopf · Wittawat Jitkrittum
• 2019 Spotlight: Perceiving the arrow of time in autoregressive motion »
  Kristof Meding · Dominik Janzing · Bernhard Schölkopf · Felix A. Wichmann
• 2018 : Datasets and Benchmarks for Causal Learning »
  Csaba Szepesvari · Isabelle Guyon · Nicolai Meinshausen · David Blei · Elias Bareinboim · Bernhard Schölkopf · Pietro Perona
• 2018 : Learning Independent Mechanisms »
  Bernhard Schölkopf
• 2018 Poster: Informative Features for Model Comparison »
  Wittawat Jitkrittum · Heishiro Kanagawa · Patsorn Sangkloy · James Hays · Bernhard Schölkopf · Arthur Gretton
• 2018 Poster: Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models »
  Alexander Neitz · Giambattista Parascandolo · Stefan Bauer · Bernhard Schölkopf
• 2017 : Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation »
  Alice Oh · Bernhard Schölkopf
• 2017 Poster: Avoiding Discrimination through Causal Reasoning »
  Niki Kilbertus · Mateo Rojas Carulla · Giambattista Parascandolo · Moritz Hardt · Dominik Janzing · Bernhard Schölkopf
• 2017 Poster: Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning »
  Shixiang (Shane) Gu · Timothy Lillicrap · Richard Turner · Zoubin Ghahramani · Bernhard Schölkopf · Sergey Levine
• 2017 Poster: AdaGAN: Boosting Generative Models »
  Ilya Tolstikhin · Sylvain Gelly · Olivier Bousquet · Carl-Johann SIMON-GABRIEL · Bernhard Schölkopf
• 2016 Poster: Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels »
  Ilya Tolstikhin · Bharath Sriperumbudur · Bernhard Schölkopf
• 2016 Poster: Consistent Kernel Mean Estimation for Functions of Random Variables »
  Carl-Johann Simon-Gabriel · Adam Scibior · Ilya Tolstikhin · Bernhard Schölkopf
• 2014 Poster: Kernel Mean Estimation via Spectral Filtering »
  Krikamol Muandet · Bharath Sriperumbudur · Bernhard Schölkopf
• 2013 Workshop: Modern Nonparametric Methods in Machine Learning »
  Arthur Gretton · Mladen Kolar · Samory Kpotufe · John Lafferty · Han Liu · Bernhard Schölkopf · Alexander Smola · Rob Nowak · Mikhail Belkin · Lorenzo Rosasco · peter bickel · Yue Zhao
• 2013 Workshop: NIPS 2013 Workshop on Causality: Large-scale Experiment Design and Inference of Causal Mechanisms »
  Isabelle Guyon · Leon Bottou · Bernhard Schölkopf · Alexander Statnikov · Evelyne Viegas · james m robins
• 2013 Poster: The Randomized Dependence Coefficient »
  David Lopez-Paz · Philipp Hennig · Bernhard Schölkopf
• 2013 Poster: Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. »
  Michel Besserve · Nikos K Logothetis · Bernhard Schölkopf
• 2013 Poster: Causal Inference on Time Series using Restricted Structural Equation Models »
  Jonas Peters · Dominik Janzing · Bernhard Schölkopf
• 2012 Poster: Learning from Distributions via Support Measure Machines »
  Krikamol Muandet · Kenji Fukumizu · Francesco Dinuzzo · Bernhard Schölkopf
• 2012 Spotlight: Learning from Distributions via Support Measure Machines »
  Krikamol Muandet · Kenji Fukumizu · Francesco Dinuzzo · Bernhard Schölkopf
• 2012 Poster: Semi-Supervised Domain Adaptation with Non-Parametric Copulas »
  David Lopez-Paz · José Miguel Hernández-Lobato · Bernhard Schölkopf
• 2012 Spotlight: Semi-Supervised Domain Adaptation with Non-Parametric Copulas »
  David Lopez-Paz · José Miguel Hernández-Lobato · Bernhard Schölkopf
• 2012 Poster: The representer theorem for Hilbert spaces: a necessary and sufficient condition »
  Francesco Dinuzzo · Bernhard Schölkopf
• 2011 Workshop: Philosophy and Machine Learning »
  Marcello Pelillo · Joachim M Buhmann · Tiberio Caetano · Bernhard Schölkopf · Larry Wasserman
• 2011 Workshop: Cosmology meets Machine Learning »
  Michael Hirsch · Sarah Bridle · Bernhard Schölkopf · Phil Marshall · Stefan Harmeling · Mark Girolami
• 2011 Invited Talk: From kernels to causal inference »
  Bernhard Schölkopf
• 2011 Poster: Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance »
  Peter Gehler · Carsten Rother · Martin Kiefel · Lumin Zhang · Bernhard Schölkopf
• 2011 Poster: Causal Discovery with Cyclic Additive Noise Models »
  Joris M Mooij · Dominik Janzing · Tom Heskes · Bernhard Schölkopf
• 2010 Spotlight: Switched Latent Force Models for Movement Segmentation »
  Mauricio A Alvarez · Jan Peters · Bernhard Schölkopf · Neil D Lawrence
• 2010 Poster: Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake »
  Stefan Harmeling · Michael Hirsch · Bernhard Schölkopf
• 2010 Poster: Switched Latent Force Models for Movement Segmentation »
  Mauricio A Alvarez · Jan Peters · Bernhard Schölkopf · Neil D Lawrence
• 2010 Poster: Probabilistic latent variable models for distinguishing between cause and effect »
  Joris M Mooij · Oliver Stegle · Dominik Janzing · Kun Zhang · Bernhard Schölkopf
• 2009 Workshop: Connectivity Inference in Neuroimaging »
  Karl Friston · Moritz Grosse-Wentrup · Uta Noppeney · Bernhard Schölkopf
• 2009 Poster: Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions »
  Bharath Sriperumbudur · Kenji Fukumizu · Arthur Gretton · Gert Lanckriet · Bernhard Schölkopf
• 2009 Oral: Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions »
  Bharath Sriperumbudur · Kenji Fukumizu · Arthur Gretton · Gert Lanckriet · Bernhard Schölkopf
• 2008 Workshop: Causality: objectives and assessment »
  Isabelle Guyon · Dominik Janzing · Bernhard Schölkopf
• 2008 Mini Symposium: Computational Photography »
  Bill Freeman · Bernhard Schölkopf
• 2008 Poster: Characteristic Kernels on Groups and Semigroups »
  Kenji Fukumizu · Bharath Sriperumbudur · Arthur Gretton · Bernhard Schölkopf
• 2008 Oral: Characteristic Kernels on Groups and Semigroups »
  Kenji Fukumizu · Bharath Sriperumbudur · Arthur Gretton · Bernhard Schölkopf
• 2008 Poster: Nonlinear causal discovery with additive noise models »
  Patrik O Hoyer · Dominik Janzing · Joris M Mooij · Jonas Peters · Bernhard Schölkopf
• 2008 Poster: Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance »
  Jeremy Hill · Jason Farquhar · Suzanne Martens · Felix Bießmann · Bernhard Schölkopf
• 2008 Poster: Bayesian Experimental Design of Magnetic Resonance Imaging Sequences »
  Matthias Seeger · Hannes Nickisch · Rolf Pohmann · Bernhard Schölkopf
• 2008 Spotlight: Nonlinear causal discovery with additive noise models »
  Patrik O Hoyer · Dominik Janzing · Joris M Mooij · Jonas Peters · Bernhard Schölkopf
• 2008 Spotlight: Bayesian Experimental Design of Magnetic Resonance Imaging Sequences »
  Matthias Seeger · Hannes Nickisch · Rolf Pohmann · Bernhard Schölkopf
• 2008 Spotlight: Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance »
  Jeremy Hill · Jason Farquhar · Suzanne Martens · Felix Bießmann · Bernhard Schölkopf
• 2008 Poster: An empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis »
  Gabriele B Schweikert · Christian Widmer · Bernhard Schölkopf · Gunnar Rätsch
• 2008 Poster: Diffeomorphic Dimensionality Reduction »
  Christian Walder · Bernhard Schölkopf
• 2007 Spotlight: Kernel Measures of Conditional Dependence »
  Kenji Fukumizu · Arthur Gretton · Xiaohai Sun · Bernhard Schölkopf
• 2007 Poster: An Analysis of Inference with the Universum »
  Fabian H Sinz · Olivier Chapelle · Alekh Agarwal · Bernhard Schölkopf
• 2007 Poster: Kernel Measures of Conditional Dependence »
  Kenji Fukumizu · Arthur Gretton · Xiaohai Sun · Bernhard Schölkopf
• 2007 Spotlight: An Analysis of Inference with the Universum »
  Fabian H Sinz · Olivier Chapelle · Alekh Agarwal · Bernhard Schölkopf
• 2007 Spotlight: A Kernel Statistical Test of Independence »
  Arthur Gretton · Kenji Fukumizu · Choon Hui Teo · Le Song · Bernhard Schölkopf · Alexander Smola
• 2007 Poster: A Kernel Statistical Test of Independence »
  Arthur Gretton · Kenji Fukumizu · Choon Hui Teo · Le Song · Bernhard Schölkopf · Alexander Smola
• 2007 Poster: Discriminative K-means for Clustering »
  Jieping Ye · Zheng Zhao · Mingrui Wu
• 2006 Poster: Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions »
  Christian Walder · Bernhard Schölkopf · Olivier Chapelle
• 2006 Poster: Learning Dense 3D Correspondence »
  Florian Steinke · Bernhard Schölkopf · Volker Blanz
• 2006 Poster: A Kernel Method for the Two-Sample-Problem »
  Arthur Gretton · Karsten Borgwardt · Malte J Rasch · Bernhard Schölkopf · Alexander Smola
• 2006 Poster: Correcting Sample Selection Bias by Unlabeled Data »
  Jiayuan Huang · Alexander Smola · Arthur Gretton · Karsten Borgwardt · Bernhard Schölkopf
• 2006 Spotlight: Correcting Sample Selection Bias by Unlabeled Data »
  Jiayuan Huang · Alexander Smola · Arthur Gretton · Karsten Borgwardt · Bernhard Schölkopf
• 2006 Talk: A Kernel Method for the Two-Sample-Problem »
  Arthur Gretton · Karsten Borgwardt · Malte J Rasch · Bernhard Schölkopf · Alexander Smola
• 2006 Poster: A Nonparametric Approach to Bottom-Up Visual Saliency »
  Wolf Kienzle · Felix A Wichmann · Bernhard Schölkopf · Matthias Franz
• 2006 Poster: Learning with Hypergraphs: Clustering, Classification, and Embedding »
  Denny Zhou · Jiayuan Huang · Bernhard Schölkopf