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Empirical Inference Probabilistic Learning Group Conference Paper On the Reliability of Information and Trustworthiness of Web Sources in Wikipedia Tabibian, B., Farajtabar, M., Valera, I., Song, L., Schölkopf, B., Gomez Rodriguez, M. Wikipedia workshop at the 10th International AAAI Conference on Web and Social Media (ICWSM), May 2016 (Published) URL BibTeX
Empirical Inference Conference Paper TerseSVM : A Scalable Approach for Learning Compact Models in Large-scale Classification Babbar, R., Muandet, K., Schölkopf, B. Proceedings of the 2016 SIAM International Conference on Data Mining (SDM), :234-242, (Editors: Sanjay Chawla Venkatasubramanian and Wagner Meira), May 2016 (Published) DOI BibTeX
Empirical Inference Conference Paper Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines Sajjadi, M. S. M., Alamgir, M., von Luxburg, U. Proceedings of the 3rd ACM conference on Learning @ Scale, :369-378, (Editors: Haywood, J. and Aleven, V. and Kay, J. and Roll, I.), ACM, L@S, April 2016, (An earlier version of this paper had been presented at the ICML 2015 workshop for Machine Learning for Education.) (Published) Arxiv Peer-Grading dataset request BibTeX
Empirical Inference Conference Paper Fabular: Regression Formulas As Probabilistic Programming Borgström, J., Gordon, A. D., Ouyang, L., Russo, C., Ścibior, A., Szymczak, M. Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL), :271-283, POPL ’16, ACM, January 2016 (Published) DOI BibTeX
Empirical Inference Article On estimation of functional causal models: General results and application to post-nonlinear causal model Zhang, K., Wang, Z., Zhang, J., Schölkopf, B. ACM Transactions on Intelligent Systems and Technologies, 7(2):article no. 13, January 2016 (Published) PDF DOI BibTeX
Empirical Inference Poster PGO wave-triggered functional MRI: mapping the networks underlying synaptic consolidation Logothetis, N. K., Murayama, Y., Ramirez-Villegas, J. F., Besserve, M., Evrard, H. 47th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), 2016 () BibTeX
Empirical Inference Article A Causal, Data-driven Approach to Modeling the Kepler Data Wang, D., Hogg, D. W., Foreman-Mackey, D., Schölkopf, B. Publications of the Astronomical Society of the Pacific, 128(967):094503, 2016, Astrophysics Source Code Library ascl: 2107.024 (Published) DOI URL BibTeX
Empirical Inference Article A Population Based Gaussian Mixture Model Incorporating 18F-FDG-PET and DW-MRI Quantifies Tumor Tissue Classes Divine, M. R., Katiyar, P., Kohlhofer, U., Quintanilla-Martinez, L., Disselhorst, J. A., Pichler, B. J. Journal of Nuclear Medicine, 57(3):473-479, 2016 () DOI BibTeX
Empirical Inference Book Chapter A cognitive brain–computer interface for patients with amyotrophic lateral sclerosis Hohmann, M., Fomina, T., Jayaram, V., Widmann, N., Förster, C., Just, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M. In Brain-Computer Interfaces: Lab Experiments to Real-World Applications, 228(Supplement C):221-239, 8, Progress in Brain Research, (Editors: Damien Coyle), Elsevier, 2016 (Published) DOI BibTeX
Empirical Inference Miscellaneous A note on the expected minimum error probability in equientropic channels Weichwald, S., Fomina, T., Schölkopf, B., Grosse-Wentrup, M. 2016 (Published) PDF Arxiv BibTeX
Empirical Inference Ph.D. Thesis Advances in computational imaging: Benchmarking Deblurring Algorithms, Deep Neural Inpainting, Depth Estimation from Light Fields Köhler, R. Eberhard Karls Universität Tübingen, Germany, 2016 (Published) BibTeX
Empirical Inference Article Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference Janzing, D., Chaves, R., Schölkopf, B. New Journal of Physics, 18(9):article no. 093052, 2016 (Published) PDF DOI URL BibTeX
Empirical Inference Article An overview of quantitative approaches in Gestalt perception Jäkel, F., Singh, M., Wichmann, F. A., Herzog, M. H. Vision Research, 126:3-8, 2016 (Published) DOI URL BibTeX
Empirical Inference Article BOiS—Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual Priors Mohr, J., Seyfarth, J., Lueschow, A., Weber, J. E., Wichmann, F. A., Obermayer, K. Frontiers in Psychology, 2016 (Published) DOI BibTeX
Empirical Inference Article Bootstrat: Population Informed Bootstrapping for Rare Variant Tests Huang, H., Peloso, G. M., Howrigan, D., Rakitsch, B., Simon-Gabriel, C. J., Goldstein, J. I., Daly, M. J., Borgwardt, K., Neale, B. M. bioRxiv, 2016, preprint (Published) DOI URL BibTeX
Empirical Inference Miscellaneous Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws? Veiga, F., Peters, J. 2016 (Published) arXiv BibTeX
Empirical Inference Conference Paper Causal and statistical learning Schölkopf, B., Janzing, D., Lopez-Paz, D. Oberwolfach Reports, 13(3):1896-1899, (Editors: A. Christmann and K. Jetter and S. Smale and D.-X. Zhou), 2016 (Published) PDF DOI URL BibTeX
Empirical Inference Article Causal discovery and inference: concepts and recent methodological advances Spirtes, P., Zhang, K. Applied Informatics, 3(3):1-28, 2016 (Published) DOI BibTeX
Empirical Inference Article Causal inference using invariant prediction: identification and confidence intervals Peters, J., Bühlmann, P., Meinshausen, N. Journal of the Royal Statistical Society, Series B (Statistical Methodology), 78(5):947-1012, 2016, (with discussion) (Published) DOI URL BibTeX
Empirical Inference Article Comparison of Positron Emission Tomography Quantification Using Magnetic Resonance–and Computed Tomography–Based Attenuation Correction in Physiological Tissues and Lesions: A Whole-Body Positron Emission Tomography/Magnetic Resonance Study in 66 Patients Seith, F., Gatidis, S., Schmidt, H., Bezrukov, I., la Fougère, C., Nikolaou, K., Pfannenberg, C., Schwenzer, N. Investigative Radiology, 51(1):66-71, 2016 (Published) DOI URL BibTeX
Empirical Inference Article Distinguishing cause from effect using observational data: methods and benchmarks Mooij, J., Peters, J., Janzing, D., Zscheischler, J., Schölkopf, B. Journal of Machine Learning Research, 17(32):1-102, 2016 (Published) URL BibTeX
Empirical Inference Probabilistic Numerics Article Dual Control for Approximate Bayesian Reinforcement Learning Klenske, E. D., Hennig, P. Journal of Machine Learning Research, 17(127):1-30, 2016 (Published) PDF URL BibTeX
Empirical Inference Miscellaneous Empirical Inference (2010-2015) Scientific Advisory Board Report, 2016 (Published) pdf BibTeX
Empirical Inference Article Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm Gomez Rodriguez, M., Song, L., Daneshmand, H., Schölkopf, B. Journal of Machine Learning Research, 17(90):1-29, 2016 (Published) URL BibTeX
Empirical Inference Probabilistic Numerics Article Gaussian Process-Based Predictive Control for Periodic Error Correction Klenske, E. D., Zeilinger, M., Schölkopf, B., Hennig, P. IEEE Transactions on Control Systems Technology , 24(1):110-121, 2016 (Published) PDF DOI BibTeX
Empirical Inference Article Hierarchical Relative Entropy Policy Search Daniel, C., Neumann, G., Kroemer, O., Peters, J. Journal of Machine Learning Research, 17(93):1-50, 2016 (Published) URL BibTeX
Empirical Inference Poster Hippocampal neural events predict ongoing brain-wide BOLD activity Besserve, M., Logothetis, N. K. 47th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), 2016 () BibTeX
Empirical Inference Article Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach Grosse-Wentrup, M., Janzing, D., Siegel, M., Schölkopf, B. NeuroImage, 125:825-833, 2016 (Published) PDF DOI BibTeX
Empirical Inference Article Influence Estimation and Maximization in Continuous-Time Diffusion Networks Gomez-Rodriguez, M., Song, L., Du, N., Zha, H., Schölkopf, B. ACM Transactions on Information Systems, 34(2):9:1-9:33, 2016 (Published) DOI BibTeX
Empirical Inference Article Influence of initial fixation position in scene viewing Rothkegel, L. O. M., Trukenbrod, H. A., Schütt, H. H., Wichmann, F. A., Engbert, R. Vision Research, 129:33-49, 2016 (Published) DOI URL BibTeX
Empirical Inference Article Kernel Mean Shrinkage Estimators Muandet, K., Sriperumbudur, B., Fukumizu, K., Gretton, A., Schölkopf, B. Journal of Machine Learning Research, 17(48):1-41, 2016 (Published) URL BibTeX
Empirical Inference Article Learning Taxonomy Adaptation in Large-scale Classification Babbar, R., Partalas, I., Gaussier, E., Amini, M., Amblard, C. Journal of Machine Learning Research, 17(98):1-37, 2016 (Published) URL BibTeX
Empirical Inference Article Learning to Deblur Schuler, C. J., Hirsch, M., Harmeling, S., Schölkopf, B. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7):1439-1451, IEEE, 2016 (Published) DOI BibTeX
Empirical Inference Article MERLiN: Mixture Effect Recovery in Linear Networks Weichwald, S., Grosse-Wentrup, M., Gretton, A. IEEE Journal of Selected Topics in Signal Processing, 10(7):1254-1266, 2016 (Published) Arxiv Code PDF DOI BibTeX
Empirical Inference Article Methods for causal inference from gene perturbation experiments and validation Meinshausen, N., Hauser, A., Mooij, J. M., Peters, J., Versteeg, P., Bühlmann, P. Proceedings of the National Academy of Sciences, 113(27):7361-7368, 2016 (Published) DOI BibTeX
Empirical Inference Article Modeling Confounding by Half-Sibling Regression Schölkopf, B., Hogg, D., Wang, D., Foreman-Mackey, D., Janzing, D., Simon-Gabriel, C. J., Peters, J. Proceedings of the National Academy of Science, 113(27):7391-7398, 2016 (Published) Code DOI URL BibTeX
Empirical Inference Autonomous Motion Conference Paper Modeling Variability of Musculoskeletal Systems with Heteroscedastic Gaussian Processes Büchler, D., Calandra, R., Peters, J. Workshop on Neurorobotics, Neural Information Processing Systems (NIPS 2016), 2016 (Published) NIPS16Neurorobotics BibTeX
Empirical Inference Book Chapter Nonlinear functional causal models for distinguishing cause from effect Zhang, K., Hyvärinen, A. In Statistics and Causality: Methods for Applied Empirical Research, :185-201, 8, 1st, (Editors: Wolfgang Wiedermann and Alexander von Eye), John Wiley & Sons, Inc., 2016 (Published) BibTeX
Empirical Inference Article Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data Schütt, H. H., Harmeling, S., Macke, J. H., Wichmann, F. A. Vision Research, 122:105-123, 2016 (Published) DOI URL BibTeX
Empirical Inference Article Preface to the ACM TIST Special Issue on Causal Discovery and Inference Zhang, K., Li, J., Bareinboim, E., Schölkopf, B., Pearl, J. ACM Transactions on Intelligent Systems and Technologies, 7(2):article no. 17, 2016 (Published) DOI BibTeX
Empirical Inference Autonomous Motion Article Probabilistic Inference for Determining Options in Reinforcement Learning Daniel, C., van Hoof, H., Peters, J., Neumann, G. Machine Learning, Special Issue, 104(2):337-357, (Editors: Gärtner, T., Nanni, M., Passerini, A. and Robardet, C.), European Conference on Machine Learning im Machine Learning, Journal Track, 2016, Best Student Paper Award of ECML-PKDD 2016 () DOI BibTeX
Empirical Inference Article Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control Rueckert, E., Camernik, J., Peters, J., Babic, J. Scientific Reports, 6(1):article no. 28455, 2016 (Published) DOI BibTeX
Empirical Inference Article Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation Townsend, J., Koep, N., Weichwald, S. Journal of Machine Learning Research, 17(137):1-5, 2016 (Published) PDF Arxiv Code Project page URL BibTeX
Empirical Inference Article Recurrent Spiking Networks Solve Planning Tasks Rueckert, E., Kappel, D., Tanneberg, D., Pecevski, D., Peters, J. Nature PG: Scientific Reports, 6(1):article no. 21142, 2016 (Published) DOI BibTeX
Empirical Inference Conference Paper Screening Rules for Convex Problems Raj, A., Olbrich, J., Gärtner, B., Schölkopf, B., Jaggi, M. 13th International (Virtual) OPT Workshop on Optimization for Machine Learning, 2016, Submitted (Submitted) URL BibTeX
Empirical Inference Article Self-regulation of brain rhythms in the precuneus: a novel BCI paradigm for patients with ALS Fomina, T., Lohmann, G., Erb, M., Ethofer, T., Schölkopf, B., Grosse-Wentrup, M. Journal of Neural Engineering, 13(6):article no. 066021, 2016 () URL BibTeX
Empirical Inference Poster Statistical source separation of rhythmic LFP patterns during sharp wave ripples in the macaque hippocampus Ramirez-Villegas, J. F., Logothetis, N. K., Besserve, M. 47th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), 2016 () BibTeX
Empirical Inference Conference Paper Surface Roughness Discrimination Using Bioinspired Tactile Sensors Yi, Z., Zhang, Y., Peters, J. Proceedings of the 16th International Conference on Biomedical Engineering, 2016 (Published) BibTeX
Empirical Inference Article Testing models of peripheral encoding using metamerism in an oddity paradigm Wallis, T. S. A., Bethge, M., Wichmann, F. A. Journal of Vision, 16(2):4, 2016 (Published) DOI BibTeX
Empirical Inference Article The population of long-period transiting exoplanets Foreman-Mackey, D., Morton, T. D., Hogg, D. W., Agol, E., Schölkopf, B. The Astronomical Journal, 152(6):article no. 206, 2016 (Published) URL BibTeX