Wierstra, D., Schaul, T., Glasmachers, T., Sun, Y., Peters, J., Schmidhuber, J.
Natural Evolution Strategies
Journal of Machine Learning Research, 15, pages: 949-980, 2014 (article)
Schultz, T., Fuster, A., Ghosh, A., Deriche, R., Florack, L., Lim, L.
Higher-Order Tensors in Diffusion Imaging
In Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, pages: 129-161, Mathematics + Visualization, (Editors: Westin, C.-F., Vilanova, A. and Burgeth, B.), Springer, 2014 (inbook)
Solly, E., Schöning, I., Boch, S., Kandeler, E., Marhan, S., Michalzik, B., Müller, J., Zscheischler, J., Trumbore, S., Schrumpf, M.
Factors controlling decomposition rates of fine root litter in temperate forests and grasslands
Plant and Soil, 2014 (article)
Chaves, R., Luft, L., Maciel, T., Gross, D., Janzing, D., Schölkopf, B.
Inferring latent structures via information inequalities
In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, pages: 112-121, (Editors: NL Zhang and J Tian), AUAI Press, Corvallis, Oregon, UAI, 2014 (inproceedings)
Peters, J., Mooij, J., Janzing, D., Schölkopf, B.
Causal Discovery with Continuous Additive Noise Models
Journal of Machine Learning Research, 15, pages: 2009-2053, 2014 (article)
Schultz, T., Vilanova, A., Brecheisen, R., Kindlmann, G.
Fuzzy Fibers: Uncertainty in dMRI Tractography
In Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization, pages: 79-92, 8, Mathematics + Visualization, (Editors: Hansen, C. D., Chen, M., Johnson, C. R., Kaufman, A. E. and Hagen, H.), Springer, 2014 (inbook)
Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M.
Cluster analysis of sharp-wave ripple field potential signatures in the macaque hippocampus
Computational and Systems Neuroscience Meeting (COSYNE), 2014 (poster)
Zscheischler, J., Mahecha, M., v Buttlar, J., Harmeling, S., Jung, M., Rammig, A., Randerson, J., Schölkopf, B., Seneviratne, S., Tomelleri, E., Zaehle, S., Reichstein, M.
A few extreme events dominate global interannual variability in gross primary production
Environmental Research Letters, 9(3):035001, 2014 (article)
Mülling, K., Boularias, A., Mohler, B., Schölkopf, B., Peters, J.
Learning Strategies in Table Tennis using Inverse Reinforcement Learning
Biological Cybernetics, 108(5):603-619, 2014 (article)
Bischoff, B., Nguyen-Tuong, D., van Hoof, H., McHutchon, A., Rasmussen, C., Knoll, A., Peters, J., Deisenroth, M.
Policy Search For Learning Robot Control Using Sparse Data
In Proceedings of 2014 IEEE International Conference on Robotics and Automation, pages: 3882-3887, IEEE, ICRA, 2014 (inproceedings)
Manschitz, S., Kober, J., Gienger, M., Peters, J.
Learning to Unscrew a Light Bulb from Demonstrations
In Proceedings for the joint conference of ISR 2014, 45th International Symposium on Robotics and Robotik 2014, 2014 (inproceedings)
Özdenizci, O., Meyer, T., Cetin, M., Grosse-Wentrup, M.
Towards Neurofeedback Training of Associative Brain Areas for Stroke Rehabilitation
In Proceedings of the 6th International Brain-Computer Interface Conference, (Editors: G Müller-Putz and G Bauernfeind and C Brunner and D Steyrl and S Wriessnegger and R Scherer), 2014 (inproceedings)
Pillonetto, G., Dinuzzo, F., Chen, T., De Nicolao, G., Ljung, L.
Kernel methods in system identification, machine learning and function estimation: A survey
Automatica, 50(3):657-682, 2014 (article)
Kolb, A., Parl, C., Mantlik, F., Liu, C., Lorenz, E., Renker, D., Pichler, B.
Development of a novel depth of interaction PET detector using highly multiplexed G-APD cross-strip encoding
Medical Physics, 41(8), 2014 (article)
Gunter, T., Osborne, M., Garnett, R., Hennig, P., Roberts, S.
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature
In Advances in Neural Information Processing Systems 27, pages: 2789-2797, (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 (inproceedings)
Dai, B., Xie, B., He, N., Liang, Y., Raj, A., Balcan, M., Song, L.
Scalable Kernel Methods via Doubly Stochastic Gradients
Advances in Neural Information Processing Systems 27, pages: 3041-3049, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (conference)
Zscheischler, J.
A global analysis of extreme events and consequences for the terrestrial carbon cycle
Diss. No. 22043, ETH Zurich, Switzerland, ETH Zurich, Switzerland, 2014 (phdthesis)
Martens, S., Bensch, M., Halder, S., Hill, J., Nijboer, F., Ramos-Murguialday, A., Schölkopf, B., Birbaumer, N., Gharabaghi, A.
Epidural electrocorticography for monitoring of arousal in locked-in state
Frontiers in Human Neuroscience, 8(861), 2014 (article)
Balcan, M., Daniely, A., Mehta, R., Urner, R., Vazirani, V. V.
Learning Economic Parameters from Revealed Preferences
In Web and Internet Economics - 10th International Conference, 8877, pages: 338-353, Lecture Notes in Computer Science, (Editors: Liu, T.-Y. and Qi, Q. and Ye, Y.), WINE, 2014 (inproceedings)
Sra, S.
Nonconvex Proximal Splitting with Computational Errors
In Regularization, Optimization, Kernels, and Support Vector Machines, pages: 83-102, 4, (Editors: Suykens, J. A. K., Signoretto, M. and Argyriou, A.), CRC Press, 2014 (inbook)
Wytock, M., Sra, S., Kolter, J. Z.
Fast Newton methods for the group fused lasso
In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, pages: 888-897, (Editors: Zhang, N. L. and Tian, J.), AUAI Press, UAI, 2014 (inproceedings)
Schäfer, J. F., Gatidis, S., Schmidt, H., Gückel, B., Bezrukov, I., Pfannenberg, C. A., Reimold, M., M., E., Fuchs, J., Claussen, C. D., Schwenzer, N. F.
Simultaneous Whole-Body PET/MR Imaging in Comparison to PET/CT in Pediatric Oncology: Initial Results
Radiology, 273(1):220-231, 2014 (article)
Raj, A., Namboodiri, V., Tuytelaars, T.
Mind the Gap: Subspace based Hierarchical Domain Adaptation
Transfer and Multi-task learning Workshop in Advances in Neural Information System Conference 27, 2014 (conference)
Schmeißer, N.
Development of advanced methods for improving astronomical images
Eberhard Karls Universität Tübingen, Germany, Eberhard Karls Universität Tübingen, Germany, 2014 (diplomathesis)
Lacosse, E.
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)
Persello, C., Boularias, A., Dalponte, M., Gobakken, T., Naesset, E., Schölkopf, B.
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)
Tolstikhin, I., Blanchard, G., Kloft, M.
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)
Barbero, A. J., Sra, S.
Modular proximal optimization with application to total variation regularization
2014 (article) In revision
Disselhorst, J. A., Bezrukov, I., Kolb, A., Parl, C., Pichler, B. J.
Principles of PET/MR Imaging
Journal of Nuclear Medicine, 55(6, Supplement 2):2S-10S, 2014 (article)
Zuntz, J., Kacprzak, T., Voigt, L., Hirsch, M., Rowe, B., Bridle, S.
IM3SHAPE: Maximum likelihood galaxy shear measurement code for cosmic gravitational lensing
Astrophysics Source Code Library, 1, pages: 09013, 2014 (article)
Huang, B.
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)
Balcan, M., Urner, R.
Active Learning - Modern Learning Theory
In Encyclopedia of Algorithms, (Editors: Kao, M.-Y.), Springer Berlin Heidelberg, 2014 (incollection)
Cherian, A., Sra, S., Morellas, V., Papanikolopoulos, N.
Efficient nearest neighbors via robust sparse hashing
IEEE Transactions on Image Processing, 23(8):3646-3655, 2014 (article)
Divine, M. R., Disselhorst, J. A., Katiyar, P., Pichler, B. J.
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)
Yu, A. W., Ma, W., Yu, Y., Carbonell, J., Sra, S.
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)
Lang, D., Hogg, D., Schölkopf, B.
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)
Janzing, D.
Causal Inference from Passive Observations
24th Summer School University of Jyväskylā, Finland, August, 2014 (talk)
Meier, F., Hennig, P., Schaal, S.
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)
Ben-David, S., Urner, R.
Domain adaptation-can quantity compensate for quality?
Annals of Mathematics and Artificial Intelligence, 70(3):185-202, 2014 (article)
Katiyar, P., Divine, M. R., Pichler, B. J., Disselhorst, J. A.
oxel level [18]F-FDG PET/MRI unsupervised segmentation of the tumor microenvironment
World Molecular Imaging Conference, 2014 (poster)
Kacprzak, T., Bridle, S., Rowe, B., Voigt, L., Zuntz, J., Hirsch, M., MacCrann, N.
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)
Schuler, C. J., Hirsch, M., Harmeling, S., Schölkopf, B.
Learning to Deblur
In NIPS 2014 Deep Learning and Representation Learning Workshop, 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)
Alamgir, M.
Analysis of Distance Functions in Graphs
University of Hamburg, Germany, University of Hamburg, Germany, 2014 (phdthesis)
Meier, F., Hennig, P., Schaal, S.
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)
Ben-David, S., Urner, R.
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)
Azadi, S., Sra, S.
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)
Schmidt-Wilcke, T., Cagnoli, P., Wang, P., Schultz, T., Lotz, A., Mccune, W. J., Sundgren, P. C.
Diminished White Matter Integrity in Patients with Systemic Lupus Erythematosus
NeuroImage: Clinical, 5, pages: 291-297, 2014 (article)
Gomez Rodriguez, M., Song, L., Schölkopf, B.
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)
Braun, DA, Ortega, PA
Information-Theoretic Bounded Rationality and ϵ-Optimality
Entropy, 16(8):4662-4676, August 2014 (article)
Genewein, T, Braun, D
Occam’s Razor in sensorimotor learning
Proceedings of the Royal Society of London B, 281(1783):1-7, May 2014 (article)