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Empirical Inference Conference Paper Decoding Index Finger Position from EEG Using Random Forests Weichwald, S., Meyer, T., Schölkopf, B., Ball, T., Grosse-Wentrup, M. In 4th International Workshop on Cognitive Information Processing (CIP), IEEE, CIP, 2014 () PDF Arxiv DOI BibTeX
Empirical Inference Article Development of a novel depth of interaction PET detector using highly multiplexed G-APD cross-strip encoding Kolb, A., Parl, C., Mantlik, F., Liu, C., Lorenz, E., Renker, D., Pichler, B. Medical Physics, 41(8), 2014 () Web DOI BibTeX
Empirical Inference Thesis Development of advanced methods for improving astronomical images Schmeißer, N. Eberhard Karls Universität Tübingen, Germany, Eberhard Karls Universität Tübingen, Germany, 2014 () BibTeX
Empirical Inference Article Diminished White Matter Integrity in Patients with Systemic Lupus Erythematosus Schmidt-Wilcke, T., Cagnoli, P., Wang, P., Schultz, T., Lotz, A., Mccune, W. J., Sundgren, P. C. NeuroImage: Clinical, 5:291-297, 2014 (Published) DOI BibTeX
Empirical Inference Poster Dynamical source analysis of hippocampal sharp-wave ripple episodes Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M. Bernstein Conference, 2014 (Published) DOI BibTeX
Autonomous Motion Empirical Inference Probabilistic Numerics Conference Paper Efficient Bayesian Local Model Learning for Control Meier, F., Hennig, P., Schaal, S. In Proceedings of the IEEE International Conference on Intelligent Robots and Systems, :2244 - 2249, IROS, 2014, clmc () PDF DOI URL BibTeX
Empirical Inference Conference Paper Efficient Structured Matrix Rank Minimization Yu, A. W., Ma, W., Yu, Y., Carbonell, J., Sra, S. Advances in Neural Information Processing Systems 27, :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), 2014 (Published) URL BibTeX
Empirical Inference Article Efficient nearest neighbors via robust sparse hashing Cherian, A., Sra, S., Morellas, V., Papanikolopoulos, N. IEEE Transactions on Image Processing, 23(8):3646-3655, 2014 (Published) DOI BibTeX
Empirical Inference Article Epidural electrocorticography for monitoring of arousal in locked-in state Martens, S., Bensch, M., Halder, S., Hill, J., Nijboer, F., Ramos-Murguialday, A., Schölkopf, B., Birbaumer, N., Gharabaghi, A. Frontiers in Human Neuroscience, 8(861), 2014 (Published) DOI BibTeX
Empirical Inference Conference Paper Estimating Causal Effects by Bounding Confounding Geiger, P., Janzing, D., Schölkopf, B. In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence , :240-249 , (Editors: Nevin L. Zhang and Jin Tian), AUAI Press Corvallis, Oregon , UAI, 2014 () PDF BibTeX
Empirical Inference Conference Paper Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm Daneshmand, H., Gomez Rodriguez, M., Song, L., Schölkopf, B. In Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1), :793-801, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 () PDF BibTeX
Empirical Inference Article Evaluation of Positron Emission Tomographic Tracers for Imaging of Papillomavirus-Induced Tumors in Rabbits Probst, S., Wiehr, S., Mantlik, F., Schmidt, H., Kolb, A., Münch, P., Delcuratolo, M., Stubenrauch, F., Pichler, B., Iftner, T. Molecular Imaging, 13(1):1536-0121, 2014 () Web BibTeX
Empirical Inference Article Extreme events in gross primary production: a characterization across continents Zscheischler, J., Reichstein, M., Harmeling, S., Rammig, A., Tomelleri, E., Mahecha, M. Biogeosciences, 11:2909-2924, 2014 () PDF Web DOI BibTeX
Empirical Inference Poster FID-guided retrospective motion correction based on autofocusing Babayeva, M., Loktyushin, A., Kober, T., Granziera, C., Nickisch, H., Gruetter, R., Krueger, G. Joint Annual Meeting ISMRM-ESMRMB 2014, Milano, Italy, 2014 () BibTeX
Empirical Inference Article Factors controlling decomposition rates of fine root litter in temperate forests and grasslands Solly, E., Schöning, I., Boch, S., Kandeler, E., Marhan, S., Michalzik, B., Müller, J., Zscheischler, J., Trumbore, S., Schrumpf, M. Plant and Soil, 2014 () PDF DOI BibTeX
Empirical Inference Conference Paper Fast Newton methods for the group fused lasso Wytock, M., Sra, S., Kolter, J. Z. In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, :888-897, (Editors: Zhang, N. L. and Tian, J.), AUAI Press, UAI, 2014 (Published) URL BibTeX
Empirical Inference Book Chapter Fuzzy Fibers: Uncertainty in dMRI Tractography Schultz, T., Vilanova, A., Brecheisen, R., Kindlmann, G. In Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization, :79-92, 8, Mathematics + Visualization, (Editors: Hansen, C. D., Chen, M., Johnson, C. R., Kaufman, A. E. and Hagen, H.), Springer, 2014 (Published) BibTeX
Empirical Inference Article Generalized Thompson sampling for sequential decision-making and causal inference Ortega, P., Braun, D. Complex Adaptive Systems Modeling, 2(2):1-23, March 2014 () DOI BibTeX
Empirical Inference Book Chapter Higher-Order Tensors in Diffusion Imaging Schultz, T., Fuster, A., Ghosh, A., Deriche, R., Florack, L., Lim, L. In Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, :129-161, Mathematics + Visualization, (Editors: Westin, C.-F., Vilanova, A. and Burgeth, B.), Springer, 2014 (Published) BibTeX
Empirical Inference Article IM3SHAPE: Maximum likelihood galaxy shear measurement code for cosmic gravitational lensing Zuntz, J., Kacprzak, T., Voigt, L., Hirsch, M., Rowe, B., Bridle, S. Astrophysics Source Code Library, 1:09013, 2014 () URL BibTeX
Empirical Inference Article Identifiability of Gaussian Structural Equation Models with Equal Error Variances Peters, J., Bühlman, P. Biometrika, 101(1):219-228, 2014 (Published) DOI BibTeX
Empirical Inference Article Impact of Large-Scale Climate Extremes on Biospheric Carbon Fluxes: An Intercomparison Based on MsTMIP Data Zscheischler, J., Michalak, A., Schwalm, M., Mahecha, M., Huntzinger, D., Reichstein, M., Berthier, G., Ciais, P., Cook, R., El-Masri, B., et al. Global Biogeochemical Cycles, 2014 () Web DOI BibTeX
Autonomous Motion Empirical Inference Probabilistic Numerics Conference Paper Incremental Local Gaussian Regression Meier, F., Hennig, P., Schaal, S. In Advances in Neural Information Processing Systems 27, :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), 2014, clmc () PDF URL BibTeX
Empirical Inference Article Indirect Robot Model Learning for Tracking Control Bocsi, B., Csató, L., Peters, J. Advanced Robotics, 28(9):589-599, 2014 () PDF DOI BibTeX
Empirical Inference Conference Paper Inferring latent structures via information inequalities Chaves, R., Luft, L., Maciel, T., Gross, D., Janzing, D., Schölkopf, B. In Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence, :112-121, (Editors: NL Zhang and J Tian), AUAI Press, Corvallis, Oregon, UAI, 2014 () PDF BibTeX
Empirical Inference Article Information-Theoretic Bounded Rationality and ϵ-Optimality Braun, D., Ortega, P. Entropy, 16(8):4662-4676, August 2014 () DOI BibTeX
Empirical Inference Conference Paper Interaction Primitives for Human-Robot Cooperation Tasks Ben Amor, H., Neumann, G., Kamthe, S., Kroemer, O., Peters, J. In Proceedings of 2014 IEEE International Conference on Robotics and Automation, :2831-2837, IEEE, ICRA, 2014 (Published) PDF DOI BibTeX
Empirical Inference Article Juggling revisited — A voxel based morphometry study with expert jugglers Gerber, P., Schlaffke, L., Heba, S., Greenlee, M., Schultz, T., Schmidt-Wilcke, T. NeuroImage, 95:320-325, 2014 (Published) Web DOI BibTeX
Empirical Inference Conference Paper Kernel Mean Estimation and Stein Effect Muandet, K., Fukumizu, K., Sriperumbudur, B., Gretton, A., Schölkopf, B. In Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1), :10-18, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 () PDF BibTeX
Empirical Inference Conference Paper Kernel Mean Estimation via Spectral Filtering Muandet, K., Sriperumbudur, B., Schölkopf, B. In Advances in Neural Information Processing Systems 27, :1-9, (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), 2014 (Published) Web URL BibTeX
Empirical Inference Article Kernel methods in system identification, machine learning and function estimation: A survey Pillonetto, G., Dinuzzo, F., Chen, T., De Nicolao, G., Ljung, L. Automatica, 50(3):657-682, 2014 () Web DOI BibTeX
Empirical Inference Conference Paper Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot Lioutikov, R., Kroemer, O., Peters, J., Maeda, G. In Proceedings of the 13th International Conference on Intelligent Autonomous Systems, 302:1601-1611, Advances in Intelligent Systems and Computing, (Editors: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H.), Springer, IAS, 2014 (Published) DOI BibTeX
Empirical Inference Book Learning Motor Skills: From Algorithms to Robot Experiments Kober, J., Peters, J. 97:191, Springer Tracts in Advanced Robotics, Springer, 2014 () DOI BibTeX
Empirical Inference Article Learning Strategies in Table Tennis using Inverse Reinforcement Learning Mülling, K., Boularias, A., Mohler, B., Schölkopf, B., Peters, J. Biological Cybernetics, 108(5):603-619, 2014 (Published) PDF DOI BibTeX
Empirical Inference Conference Paper Learning to Deblur Schuler, C. J., Hirsch, M., Harmeling, S., Schölkopf, B. In NIPS 2014 Deep Learning and Representation Learning Workshop, 28th Annual Conference on Neural Information Processing Systems (NIPS 2014), 2014 (Published) URL BibTeX
Empirical Inference Conference Paper Learning to Predict Phases of Manipulation Tasks as Hidden States Kroemer, O., van Hoof, H., Neumann, G., Peters, J. In Proceedings of 2014 IEEE International Conference on Robotics and Automation, :4009-4014, IEEE, ICRA, 2014 (Published) PDF DOI BibTeX
Empirical Inference Conference Paper Learning to Unscrew a Light Bulb from Demonstrations Manschitz, S., Kober, J., Gienger, M., Peters, J. In Proceedings for the joint conference of ISR 2014, 45th International Symposium on Robotics and Robotik 2014, 2014 (Published) BibTeX
Empirical Inference Conference Paper Mask-Specific Inpainting with Deep Neural Networks Köhler, R., Schuler, C., Schölkopf, B., Harmeling, S. In Pattern Recognition (GCPR 2014), :523-534, (Editors: X Jiang, J Hornegger, and R Koch), Springer, 2014, Lecture Notes in Computer Science () PDF DOI BibTeX
Empirical Inference Article Modular proximal optimization with application to total variation regularization Barbero, A. J., Sra, S. 2014, In revision (In revision) URL BibTeX
Empirical Inference Conference Paper Monte Carlo methods for exact & efficient solution of the generalized optimality equations Ortega, P., Braun, D., Tishby, N. :4322-4327, IEEE, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA 2014), June 2014 () DOI URL BibTeX
Empirical Inference Conference Paper Multi-Task Feature Selection on Multiple Networks via Maximum Flows Sugiyama, M., Azencott, C., Grimm, D., Kawahara, Y., Borgwardt, K. In Proceedings of the 2014 SIAM International Conference on Data Mining , :199-207, SIAM, 2014 () Web PDF DOI BibTeX
Empirical Inference Conference Paper Multi-Task Policy Search for Robotics Deisenroth, M., Englert, P., Peters, J., Fox, D. In Proceedings of 2014 IEEE International Conference on Robotics and Automation, :3876-3881, IEEE, ICRA, 2014 (Published) PDF DOI BibTeX
Empirical Inference Conference Paper Multi-modal filtering for non-linear estimation Kamthe, S., Peters, J., Deisenroth, M. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, :7979-7983, IEEE, ICASSP, 2014 (Published) PDF DOI BibTeX
Empirical Inference Article Natural Evolution Strategies Wierstra, D., Schaul, T., Glasmachers, T., Sun, Y., Peters, J., Schmidhuber, J. Journal of Machine Learning Research, 15:949-980, 2014 () PDF BibTeX
Empirical Inference Book Chapter Nonconvex Proximal Splitting with Computational Errors Sra, S. In Regularization, Optimization, Kernels, and Support Vector Machines, :83-102, 4, (Editors: Suykens, J. A. K., Signoretto, M. and Argyriou, A.), CRC Press, 2014 (Published) BibTeX
Empirical Inference Article Occam’s Razor in sensorimotor learning Genewein, T., Braun, D. Proceedings of the Royal Society of London B, 281(1783):1-7, May 2014 () DOI BibTeX
Empirical Inference Article On power law distributions in large-scale taxonomies Babbar, R., Metzig, C., Partalas, I., Gaussier, E., Amini, M. SIGKDD Explorations, Special Issue on Big Data, 16(1):47-56, 2014 () BibTeX
Empirical Inference Article On the Quantification Accuracy, Homogeneity, and Stability of Simultaneous Positron Emission Tomography/Magnetic Resonance Imaging Systems Schmidt, H., Schwenzer, N., Bezrukov, I., Mantlik, F., Kolb, A., Kupferschläger, J., Pichler, B. Investigative Radiology, 49(6):373-381, 2014 () Web DOI BibTeX
Empirical Inference Conference Paper Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem Gomez Rodriguez, M., Song, L., Schölkopf, B. Proceedings of the 27th Conference on Learning Theory, 35:1276-1279, (Editors: Balcan, M.-F. and Szepesvári, C.), JMLR.org, COLT, 2014 () PDF BibTeX
Empirical Inference Article Policy Evaluation with Temporal Differences: A Survey and Comparison Dann, C., Neumann, G., Peters, J. Journal of Machine Learning Research, 15:809-883, 2014 () PDF BibTeX