243 results
(View BibTeX file of all listed publications)

**Kernel Conditional Moment Test via Maximum Moment Restriction**
*Proceedings of the 36th International Conference on Uncertainty in Artificial Intelligence (UAI)*, August 2020 (conference) Accepted

**Bayesian Online Prediction of Change Points**
*Proceedings of the 36th International Conference on Uncertainty in Artificial Intelligence (UAI)*, August 2020 (conference) Accepted

**Algorithmic Recourse: from Counterfactual Explanations to Interventions**
*37th International Conference on Machine Learning (ICML)*, July 2020 (conference) Submitted

**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

**Model-Agnostic Counterfactual Explanations for Consequential Decisions**
*Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS)*, June 2020 (conference) Accepted

**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

**Kernel Conditional Density Operators**
*Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS)*, Proceedings of Machine Learning Research, 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

**Disentangling Factors of Variations Using Few Labels**
*8th International Conference on Learning Representations (ICLR)*, April 2020 (conference)

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

**Non-linear interlinkages and key objectives amongst the Paris Agreement and the Sustainable Development Goals**
*ICLR 2020 Workshop "Tackling Climate Change with Machine Learning"*, April 2020 (conference)

**An Open Force-Controlled Modular Robot Architecture for Legged Locomotion Research**
*The IEEE Robotics and Automation Letters*, 5(2):3650 - 3657, IEEE, April 2020 (article)

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

**Towards causal generative scene models via competition of experts**
*ICLR 2020 Workshop "Causal Learning for Decision Making"*, April 2020, *equal contribution (conference)

**On Mutual Information Maximization for Representation Learning**
*8th International Conference on Learning Representations (ICLR)*, April 2020 (conference)

**Adaptation and Robust Learning of Probabilistic Movement Primitives**
*IEEE Transactions on Robotics*, 36(2):366-379, IEEE, March 2020 (article)

**Real Time Trajectory Prediction Using Deep Conditional Generative Models**
*IEEE Robotics and Automation Letters*, 5(2):970-976, IEEE, January 2020 (article)

**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

Mastakouri, A. A., Schölkopf, B.
**Causal analysis of Covid-19 spread in Germany**
2020 (misc) Submitted

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

**A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models **
*IEEE International Conference on Robotics and Automation (ICRA)*, 2020 (conference) Accepted

**An Adaptive Optimizer for Measurement-Frugal Variational Algorithms**
*Quantum*, 4, pages: 263, 2020 (article)

**Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem**
In 59th IEEE Conference on Decision and Control (CDC), 2020 (inproceedings) Accepted

**Advances in Latent Variable and Causal Models**
University of Cambridge, UK, 2020, (Cambridge-Tuebingen-Fellowship) (phdthesis)

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

**Fair Decisions Despite Imperfect Predictions**
*Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS)*, 2020 (conference) Accepted

**Counterfactual Mean Embedding**
*Journal of Machine Learning Research*, 2020 (article) Accepted

**Learning to Play Table Tennis From Scratch using Muscular Robots**
2020 (article) Submitted

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

**Causal Discovery from Heterogeneous/Nonstationary Data**
*Journal of Machine Learning Research*, 21(89):1-53, 2020 (article)

**Testing Goodness of Fit of Conditional Density Models with Kernels**
2020 (misc) Submitted

**Divide-and-Conquer Monte Carlo Tree Search for goal directed planning**
2020, *equal contribution (conference) Submitted

**A machine learning route between band mapping and band structure**
2020, *equal contribution (misc)

**Projected Newton-type methods in machine learning**
In *Optimization for Machine Learning*, pages: 305-330, (Editors: Sra, S., Nowozin, S. and Wright, S. J.), MIT Press, Cambridge, MA, USA, December 2011 (inbook)

**Statistical estimation for optimization problems on graphs**
In pages: 1-6, NIPS Workshop on Discrete Optimization in Machine Learning (DISCML): Uncertainty, Generalization and Feedback , December 2011 (inproceedings)

**On the discardability of data in Support Vector Classification problems**
In pages: 3210-3215, IEEE, Piscataway, NJ, USA, 50th IEEE Conference on Decision and Control and European Control Conference (CDC - ECC), December 2011 (inproceedings)

**Combined whole-body PET/MR imaging: MR contrast agents do not affect the quantitative accuracy of PET following attenuation correction**
(SST15-05 ), 97th Scientific Assemble and Annual Meeting of the Radiological Society of North America (RSNA), December 2011 (talk)

**Causal Inference on Discrete Data using Additive Noise Models**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 33(12):2436-2450, December 2011 (article)

**Spontaneous epigenetic variation in the Arabidopsis thaliana methylome**
*Nature*, 480(7376):245-249, December 2011 (article)

**Optimization for Machine Learning**
pages: 494, Neural information processing series, MIT Press, Cambridge, MA, USA, December 2011 (book)

**Information, learning and falsification**
In pages: 1-4, NIPS Philosophy and Machine Learning Workshop, December 2011 (inproceedings)

**A general linear non-Gaussian state-space model: Identifiability, identification, and applications**
In *JMLR Workshop and Conference Proceedings Volume 20*, pages: 113-128, (Editors: Hsu, C.-N. , W.S. Lee ), MIT Press, Cambridge, MA, USA, 3rd Asian Conference on Machine Learning (ACML), November 2011 (inproceedings)

**Non-stationary correction of optical aberrations**
In pages: 659-666 , (Editors: DN Metaxas and L Quan and A Sanfeliu and LJ Van Gool), IEEE, Piscataway, NJ, USA, 13th IEEE International Conference on Computer Vision (ICCV), November 2011 (inproceedings)

**Learning low-rank output kernels**
In *JMLR Workshop and Conference Proceedings Volume 20*, pages: 181-196, (Editors: Hsu, C.-N. , W.S. Lee), JMLR, Cambridge, MA, USA, 3rd Asian Conference on Machine Learning (ACML) , November 2011 (inproceedings)

**HHfrag: HMM-based fragment detection using HHpred**
*Bioinformatics*, 27(22):3110-3116, November 2011 (article)

**Spatiotemporal mapping of rhythmic activity in the inferior convexity of the macaque prefrontal cortex**
41(239.15), 41st Annual Meeting of the Society for Neuroscience (Neuroscience), November 2011 (poster)

**Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning**
*Neural Computation*, 23(11):2798-2832, November 2011 (article)