128 results
(View BibTeX file of all listed publications)

**Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control**
*21rst IFAC World Congress*, July 2020 (conference) Accepted

**A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming**
*21rst IFAC World Congress*, July 2020 (conference) Accepted

**Learning to Dress 3D People in Generative Clothing**
In *Computer Vision and Pattern Recognition (CVPR)*, June 2020 (inproceedings)

**Generating 3D People in Scenes without People**
In *Computer Vision and Pattern Recognition (CVPR)*, June 2020 (inproceedings)

**A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization**
*Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS)*, June 2020 (conference) Accepted

**A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control**
*2nd Annual Conference on Learning for Dynamics and Control (L4DC)*, June 2020 (conference) Accepted

**Learning Physics-guided Face Relighting under Directional Light**
In *Conference on Computer Vision and Pattern Recognition*, IEEE/CVF, June 2020 (inproceedings) Accepted

**VIBE: Video Inference for Human Body Pose and Shape Estimation**
In *Computer Vision and Pattern Recognition (CVPR)*, June 2020 (inproceedings)

**Mixed-curvature Variational Autoencoders**
*8th International Conference on Learning Representations (ICLR)*, April 2020 (conference) Accepted

**From Variational to Deterministic Autoencoders**
*8th International Conference on Learning Representations (ICLR) *, April 2020, *equal contribution (conference) Accepted

**Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations**
In *Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)*, Febuary 2020 (inproceedings)

**More Powerful Selective Kernel Tests for Feature Selection **
*Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS)*, 2020 (conference) To be published

**Computationally Tractable Riemannian Manifolds for Graph Embeddings**
*37th International Conference on Machine Learning (ICML)*, 2020 (conference) Submitted

**Practical Accelerated Optimization on Riemannian Manifolds**
*37th International Conference on Machine Learning (ICML)*, 2020 (conference) Submitted

**Constant Curvature Graph Convolutional Networks**
*37th International Conference on Machine Learning (ICML)*, 2020, *equal contribution (conference) Submitted

**Kernel ICA for Large Scale Problems**
In pages: -, NIPS Workshop on Large Scale Kernel Machines, December 2005 (inproceedings)

**Some thoughts about Gaussian Processes**
NIPS Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 (talk)

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Chapelle, O.
**A taxonomy of semi-supervised learning algorithms**
Yahoo!, December 2005 (talk)

**Training Support Vector Machines with Multiple Equality Constraints **
In *Proceedings of the 16th European Conference on Machine Learning, Lecture Notes in Computer Science, Vol. 3720*, pages: 182-193, (Editors: JG Carbonell and J Siekmann), Springer, Berlin, Germany, ECML, November 2005 (inproceedings)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
In *Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734*, pages: 63-78, (Editors: S Jain and H-U Simon and E Tomita), Springer, Berlin, Germany, 16th International Conference ALT, October 2005 (inproceedings)

**An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron**
In *Algorithmic Learning Theory: 16th International Conference*, pages: 78-92, Algorithmic Learning Theory, October 2005 (inproceedings)

**Building Sparse Large Margin Classifiers**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 996-1003, (Editors: L De Raedt and S Wrobel ), ACM, New York, NY, USA, ICML , August 2005 (inproceedings)

**Building Sparse Large Margin Classifiers**
The 22nd International Conference on Machine Learning (ICML), August 2005 (talk)

**Learning from Labeled and Unlabeled Data on a Directed Graph**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 1041 -1048, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, August 2005 (inproceedings)

**Learning from Labeled and Unlabeled Data on a Directed Graph**
The 22nd International Conference on Machine Learning, August 2005 (talk)

**Regularization on Discrete Spaces**
In *Pattern Recognition, Lecture Notes in Computer Science, Vol. 3663*, pages: 361-368, (Editors: WG Kropatsch and R Sablatnig and A Hanbury), Springer, Berlin, Germany, 27th DAGM Symposium, August 2005 (inproceedings)

**Large Margin Non-Linear Embedding**
In *ICML 2005*, pages: 1065-1072, (Editors: De Raedt, L. , S. Wrobel), ACM Press, New York, NY, USA, 22nd International Conference on Machine Learning, August 2005 (inproceedings)

**Face Detection: Efficient and Rank Deficient**
In *Advances in Neural Information Processing Systems 17*, pages: 673-680, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**Methods Towards Invasive Human Brain Computer Interfaces**
In *Advances in Neural Information Processing Systems 17*, pages: 737-744, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**A Machine Learning Approach to Conjoint Analysis**
In *Advances in Neural Information Processing Systems 17*, pages: 257-264, (Editors: Saul, L.K. , Y. Weiss, L. Bottou), MIT Press, Cambridge, MA, USA, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**An Auditory Paradigm for Brain-Computer Interfaces**
In *Advances in Neural Information Processing Systems 17*, pages: 569-576, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**Matrix Exponential Gradient Updates for On-line Learning and Bregman Projection **
In *Advances in Neural Information Processing Systems 17*, pages: 1425-1432, (Editors: Saul, L.K. , Y. Weiss, L. Bottou), MIT Press, Cambridge, MA, USA, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**Machine Learning Applied to Perception: Decision Images for Classification**
In *Advances in Neural Information Processing Systems 17*, pages: 1489-1496, (Editors: LK, Saul and Y, Weiss and L, Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**Breaking SVM Complexity with Cross-Training**
In *Advances in Neural Information Processing Systems 17*, pages: 81-88, (Editors: Saul, L.K. , Y. Weiss, L. Bottou), MIT Press, Cambridge, MA, USA, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**Implicit Wiener series for higher-order image analysis**
In *Advances in Neural Information Processing Systems 17*, pages: 465-472, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**Limits of Spectral Clustering**
In *Advances in Neural Information Processing Systems 17*, pages: 857-864, (Editors: Saul, L. K., Y. Weiss, L. Bottou), MIT Press, Cambridge, MA, USA, Eighteenth Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**Semi-supervised Learning on Directed Graphs**
In *Advances in Neural Information Processing Systems 17*, pages: 1633-1640, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**Splines with non positive kernels**
In *5th International ISAAC Congress*, pages: 1-10, (Editors: Begehr, H. G.W., F. Nicolosi), World Scientific, Singapore, 5th International ISAAC Congress, July 2005 (inproceedings)

**Kernel Methods for Implicit Surface Modeling**
In *Advances in Neural Information Processing Systems 17*, pages: 1193-1200, (Editors: LK Saul and Y Weiss and L Bottou), MIT Press, Cambridge, MA, USA, 18th Annual Conference on Neural Information Processing Systems (NIPS), July 2005 (inproceedings)

**Machine-Learning Approaches to BCI in Tübingen**
Brain-Computer Interface Technology, June 2005, Talk given by NJH. (talk)

**Active Learning for Parzen Window Classifier**
In *AISTATS 2005*, pages: 49-56, (Editors: Cowell, R. , Z. Ghahramani), Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics), January 2005 (inproceedings)

**Semi-Supervised Classification by Low Density Separation**
In *AISTATS 2005*, pages: 57-64, (Editors: Cowell, R. , Z. Ghahramani), Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics), January 2005 (inproceedings)

**Kernel Constrained Covariance for Dependence Measurement**
In *Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics*, pages: 112-119, (Editors: R Cowell, R and Z Ghahramani), AISTATS, January 2005 (inproceedings)

**Hilbertian Metrics and Positive Definite Kernels on Probability Measures**
In *AISTATS 2005*, pages: 136-143, (Editors: Cowell, R. , Z. Ghahramani), Tenth International Workshop on Artificial Intelligence and Statistics (AI & Statistics), January 2005 (inproceedings)

**Kernel Constrained Covariance for Dependence Measurement**
AISTATS, January 2005 (talk)

**Intrinsic Dimensionality Estimation of Submanifolds in Euclidean space**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 289 , (Editors: De Raedt, L. , S. Wrobel), ICML Bonn, 2005 (inproceedings)

**Large Scale Genomic Sequence SVM Classifiers**
In *Proceedings of the 22nd International Conference on Machine Learning*, pages: 849-856, (Editors: L De Raedt and S Wrobel), ACM, New York, NY, USA, ICML, 2005 (inproceedings)

**Joint Kernel Maps**
In *Proceedings of the 8th InternationalWork-Conference on Artificial Neural Networks*, LNCS 3512, pages: 176-191, (Editors: J Cabestany and A Prieto and F Sandoval), Springer, Berlin Heidelberg, Germany, IWANN, 2005 (inproceedings)

**Analysis of Some Methods for Reduced Rank Gaussian Process Regression**
In *Switching and Learning in Feedback Systems*, pages: 98-127, (Editors: Murray Smith, R. , R. Shorten), Springer, Berlin, Germany, European Summer School on Multi-Agent Control, 2005 (inproceedings)

**From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians**
In *Proceedings of the 18th Conference on Learning Theory (COLT)*, pages: 470-485, Conference on Learning Theory, 2005, Student Paper Award (inproceedings)