614 results
(View BibTeX file of all listed publications)

**Development of advanced methods for improving astronomical images**
Eberhard Karls Universität Tübingen, Germany, Eberhard Karls Universität Tübingen, Germany, 2014 (diplomathesis)

**The Feasibility of Causal Discovery in Complex Systems: An Examination of Climate Change Attribution and Detection**
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2014 (mastersthesis)

**Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification**
*IEEE Transactions on Geoscience and Remote Sensing*, 10(52):6652 - 6664, 2014 (article)

**Localized Complexities for Transductive Learning**
In *Proceedings of the 27th Conference on Learning Theory*, 35, pages: 857-884, (Editors: Balcan, M.-F. and Feldman, V. and Szepesvári, C.), JMLR, COLT, 2014 (inproceedings)

**Modular proximal optimization with application to total variation regularization**
2014 (article) In revision

**Principles of PET/MR Imaging**
*Journal of Nuclear Medicine*, 55(6, Supplement 2):2S-10S, 2014 (article)

**IM3SHAPE: Maximum likelihood galaxy shear measurement code for cosmic gravitational lensing**
*Astrophysics Source Code Library*, 1, pages: 09013, 2014 (article)

**Causal Discovery in the Presence of Time-Dependent Relations or Small Sample Size**
Graduate Training Centre of Neuroscience, University of Tübingen, Germany, Graduate Training Centre of Neuroscience, University of Tübingen, Germany, 2014 (mastersthesis)

**Active Learning - Modern Learning Theory**
In *Encyclopedia of Algorithms*, (Editors: Kao, M.-Y.), Springer Berlin Heidelberg, 2014 (incollection)

**Efficient nearest neighbors via robust sparse hashing**
*IEEE Transactions on Image Processing*, 23(8):3646-3655, 2014 (article)

**Using a population based Gaussian Mixture Model on fused [18]F-FDG PET and DW-MRI images accurately segments the tumor microenvironment into clinically relevant compartments capable of guiding therapy**
European Molecular Imaging Meeting, 2014 (talk)

**Efficient Structured Matrix Rank Minimization**
*Advances in Neural Information Processing Systems 27*, pages: 1350-1358, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (conference)

**Towards building a Crowd-Sourced Sky Map**
In *Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics*, JMLR W\&CP 33, pages: 549–557, (Editors: S. Kaski and J. Corander), JMLR.org, AISTATS, 2014 (inproceedings)

**Causal Inference from Passive Observations**
24th Summer School University of Jyväskylā, Finland, August, 2014 (talk)

**Incremental Local Gaussian Regression**
In *Advances in Neural Information Processing Systems 27*, pages: 972-980, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014, clmc (inproceedings)

**Domain adaptation-can quantity compensate for quality?**
*Annals of Mathematics and Artificial Intelligence*, 70(3):185-202, 2014 (article)

**oxel level [18]F-FDG PET/MRI unsupervised segmentation of the tumor microenvironment**
World Molecular Imaging Conference, 2014 (poster)

**Sérsic galaxy models in weak lensing shape measurement: model bias, noise bias and their interaction**
*Monthly Notices of the Royal Astronomical Society*, 441(3):2528-2538, Oxford University Press, 2014 (article)

**Learning to Deblur**
In *NIPS 2014 Deep Learning and Representation Learning Workshop*, 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Analysis of Distance Functions in Graphs**
University of Hamburg, Germany, University of Hamburg, Germany, 2014 (phdthesis)

**Efficient Bayesian Local Model Learning for Control**
In *Proceedings of the IEEE International Conference on Intelligent Robots and Systems*, pages: 2244 - 2249, IROS, 2014, clmc (inproceedings)

**The sample complexity of agnostic learning under deterministic labels**
In *Proceedings of the 27th Conference on Learning Theory*, 35, pages: 527-542, (Editors: Balcan, M.-F. and Feldman, V. and Szepesvári, C.), JMLR, COLT, 2014 (inproceedings)

**Towards an optimal stochastic alternating direction method of multipliers**
*Proceedings of the 31st International Conference on Machine Learning*, 32, pages: 620-628, (Editors: Xing, E. P. and Jebara, T.), JMLR, ICML, 2014 (conference)

**Diminished White Matter Integrity in Patients with Systemic Lupus Erythematosus**
*NeuroImage: Clinical*, 5, pages: 291-297, 2014 (article)

**Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem**
*Proceedings of the 27th Conference on Learning Theory*, 35, pages: 1276-1279, (Editors: Balcan, M.-F. and Szepesvári, C.), JMLR.org, COLT, 2014 (conference)

**Information-Theoretic Bounded Rationality and ϵ-Optimality**
*Entropy*, 16(8):4662-4676, August 2014 (article)

**Occam’s Razor in sensorimotor learning**
*Proceedings of the Royal Society of London B*, 281(1783):1-7, May 2014 (article)

**Generalized Thompson sampling for sequential decision-making and causal inference**
*Complex Adaptive Systems Modeling*, 2(2):1-23, March 2014 (article)

**Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences**
*Frontiers in Human Neuroscience*, 8(168):1-13, March 2014 (article)

**Curiosity-driven learning with Context Tree Weighting**
pages: 366-367, IEEE, Piscataway, NJ, USA, 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB), October 2014 (conference)

**Monte Carlo methods for exact & efficient solution of the generalized optimality equations**
pages: 4322-4327, IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA), June 2014 (conference)

**Global Biclustering of Microarray Data**
In *ICDMW 2006*, pages: 125-129, (Editors: Tsumoto, S. , C. W. Clifton, N. Zhong, X. Wu, J. Liu, B. W. Wah, Y.-M. Cheung), IEEE Computer Society, Los Alamitos, CA, USA, Sixth IEEE International Conference on Data Mining, December 2006 (inproceedings)

**Conformal Multi-Instance Kernels**
In *NIPS 2006 Workshop on Learning to Compare Examples*, pages: 1-6, NIPS Workshop on Learning to Compare Examples, December 2006 (inproceedings)

**Some observations on the pedestal effect or dipper function**
*Journal of Vision*, 6(13):50, 2006 Fall Vision Meeting of the Optical Society of America, December 2006 (poster)

**A Kernel Method for the Two-Sample-Problem**
20th Annual Conference on Neural Information Processing Systems (NIPS), December 2006 (talk)

**Ab-initio gene finding using machine learning**
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)

**Reinforcement Learning by Reward-Weighted Regression**
NIPS Workshop: Towards a New Reinforcement Learning? , December 2006 (talk)

**Graph boosting for molecular QSAR analysis**
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)

**A New Projected Quasi-Newton Approach for the Nonnegative Least Squares Problem**
(TR-06-54), Univ. of Texas, Austin, December 2006 (techreport)

**Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions**
NIPS Workshop on Causality and Feature Selection, December 2006 (talk)

**Information-theoretic Metric Learning**
In *NIPS 2006 Workshop on Learning to Compare Examples*, pages: 1-5, NIPS Workshop on Learning to Compare Examples, December 2006 (inproceedings)

**Pattern Mining in Frequent Dynamic Subgraphs**
In pages: 818-822, (Editors: Clifton, C.W.), IEEE Computer Society, Los Alamitos, CA, USA, Sixth International Conference on Data Mining (ICDM), December 2006 (inproceedings)

**Structure validation of the Josephin domain of ataxin-3: Conclusive evidence for an open conformation**
*Journal of Biomolecular NMR*, 36(4):267-277, December 2006 (article)

**Probabilistic inference for solving (PO)MDPs**
(934), School of Informatics, University of Edinburgh, December 2006 (techreport)

**A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression**
*Neural Computation*, 18(12):3097-3118, December 2006 (article)

**Minimal Logical Constraint Covering Sets**
(155), Max Planck Institute for Biological Cybernetics, Tübingen, December 2006 (techreport)

**Learning Optimal EEG Features Across Time, Frequency and Space**
NIPS Workshop on Current Trends in Brain-Computer Interfacing, December 2006 (talk)

**Acquiring web page information without commitment to downloading the web page**
United States Patent, No 7155489, December 2006 (patent)

**Semi-Supervised Learning**
Advanced Methods in Sequence Analysis Lectures, November 2006 (talk)

**3DString: a feature string kernel for 3D object classification on voxelized data**
In pages: 198-207, (Editors: Yu, P.S. , V.J. Tsotras, E.A. Fox, B. Liu), ACM Press, New York, NY, USA, 15th ACM International Conference on Information and Knowledge Management (CIKM), November 2006 (inproceedings)