ei Abdolmaleki, A., Lau, N., Reis, L., Peters, J., Neumann, G. Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller Journal of Intelligent & Robotic Systems, 83(3-4):393-408, (Editors: Luis Almeida, Lino Marques ), September 2016, Special Issue: Autonomous Robot Systems (article)

DOI [BibTex]

ei Maeda, G., Ewerton, M., Koert, D., Peters, J. Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills IEEE Robotics and Automation Letters, 1(2):784-791, July 2016 (article)

DOI [BibTex]

ei Zhang, K., Wang, Z., Zhang, J., Schölkopf, B. On estimation of functional causal models: General results and application to post-nonlinear causal model ACM Transactions on Intelligent Systems and Technologies, 7(2):article no. 13, January 2016 (article)

PDF DOI [BibTex]

ei pn Klenske, E. D., Zeilinger, M., Schölkopf, B., Hennig, P. Gaussian Process-Based Predictive Control for Periodic Error Correction IEEE Transactions on Control Systems Technology , 24(1):110-121, 2016 (article)

PDF DOI [BibTex]

ei Townsend, J., Koep, N., Weichwald, S. Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation Journal of Machine Learning Research, 17(137):1-5, 2016 (article)

PDF Arxiv Code Project page link (url) [BibTex]

ei Wang, D., Hogg, D. W., Foreman-Mackey, D., Schölkopf, B. A Causal, Data-driven Approach to Modeling the Kepler Data Publications of the Astronomical Society of the Pacific, 128(967):094503, 2016 (article)

link (url) DOI Project Page [BibTex]

am ei Daniel, C., van Hoof, H., Peters, J., Neumann, G. Probabilistic Inference for Determining Options in Reinforcement Learning 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 (article)

DOI Project Page [BibTex]

ei Rothkegel, L. O. M., Trukenbrod, H. A., Schütt, H. H., Wichmann, F. A., Engbert, R. Influence of initial fixation position in scene viewing Vision Research, 129, pages: 33-49, 2016 (article)

link (url) DOI Project Page [BibTex]

ei Wallis, T. S. A., Bethge, M., Wichmann, F. A. Testing models of peripheral encoding using metamerism in an oddity paradigm Journal of Vision, 16(2), 2016 (article)

DOI Project Page [BibTex]

ei Schölkopf, B., Hogg, D., Wang, D., Foreman-Mackey, D., Janzing, D., Simon-Gabriel, C. J., Peters, J. Modeling Confounding by Half-Sibling Regression Proceedings of the National Academy of Science, 113(27):7391-7398, 2016 (article)

Code link (url) DOI Project Page [BibTex]

ei pn Klenske, E. D., Hennig, P. Dual Control for Approximate Bayesian Reinforcement Learning Journal of Machine Learning Research, 17(127):1-30, 2016 (article)

PDF link (url) [BibTex]

ei Divine, M. R., Katiyar, P., Kohlhofer, U., Quintanilla-Martinez, L., Disselhorst, J. A., Pichler, B. J. A Population Based Gaussian Mixture Model Incorporating 18F-FDG-PET and DW-MRI Quantifies Tumor Tissue Classes Journal of Nuclear Medicine, 57(3):473-479, 2016 (article)

DOI [BibTex]

ei Seith, F., Gatidis, S., Schmidt, H., Bezrukov, I., la Fougère, C., Nikolaou, K., Pfannenberg, C., Schwenzer, N. 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 Investigative Radiology, 51(1):66-71, 2016 (article)

link (url) DOI [BibTex]

ei Gomez Rodriguez, M., Song, L., Daneshmand, H., Schölkopf, B. Estimating Diffusion Networks: Recovery Conditions, Sample Complexity and Soft-thresholding Algorithm Journal of Machine Learning Research, 17(90):1-29, 2016 (article)

link (url) Project Page Project Page [BibTex]

ei Schütt, H. H., Harmeling, S., Macke, J. H., Wichmann, F. A. Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data Vision Research, 122, pages: 105-123, 2016 (article)

link (url) DOI Project Page [BibTex]

ei Grosse-Wentrup, M., Janzing, D., Siegel, M., Schölkopf, B. Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach NeuroImage, 125, pages: 825-833, 2016 (article)

PDF DOI [BibTex]

ei Daniel, C., Neumann, G., Kroemer, O., Peters, J. Hierarchical Relative Entropy Policy Search Journal of Machine Learning Research, 17(93):1-50, 2016 (article)

link (url) Project Page [BibTex]

ei Muandet, K., Sriperumbudur, B., Fukumizu, K., Gretton, A., Schölkopf, B. Kernel Mean Shrinkage Estimators Journal of Machine Learning Research, 17(48):1-41, 2016 (article)

link (url) [BibTex]

ei Schuler, C. J., Hirsch, M., Harmeling, S., Schölkopf, B. Learning to Deblur IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7):1439-1451, IEEE, 2016 (article)

DOI [BibTex]

ei Jayaram, V., Alamgir, M., Altun, Y., Schölkopf, B., Grosse-Wentrup, M. Transfer Learning in Brain-Computer Interfaces IEEE Computational Intelligence Magazine, 11(1):20-31, 2016 (article)

PDF DOI [BibTex]

ei Weichwald, S., Grosse-Wentrup, M., Gretton, A. MERLiN: Mixture Effect Recovery in Linear Networks IEEE Journal of Selected Topics in Signal Processing, 10(7):1254-1266, 2016 (article)

Arxiv Code PDF DOI Project Page [BibTex]

ei Peters, J., Bühlmann, P., Meinshausen, N. Causal inference using invariant prediction: identification and confidence intervals Journal of the Royal Statistical Society, Series B (Statistical Methodology), 78(5):947-1012, 2016, (with discussion) (article)

link (url) DOI [BibTex]

ei Spirtes, P., Zhang, K. Causal discovery and inference: concepts and recent methodological advances Applied Informatics, 3(3):1-28, 2016 (article)

DOI [BibTex]

ei Fomina, T., Lohmann, G., Erb, M., Ethofer, T., Schölkopf, B., Grosse-Wentrup, M. Self-regulation of brain rhythms in the precuneus: a novel BCI paradigm for patients with ALS Journal of Neural Engineering, 13(6):066021, 2016 (article)

link (url) Project Page [BibTex]

ei Gomez-Rodriguez, M., Song, L., Du, N., Zha, H., Schölkopf, B. Influence Estimation and Maximization in Continuous-Time Diffusion Networks ACM Transactions on Information Systems, 34(2):9:1-9:33, 2016 (article)

DOI Project Page Project Page [BibTex]

ei Foreman-Mackey, D., Morton, T. D., Hogg, D. W., Agol, E., Schölkopf, B. The population of long-period transiting exoplanets The Astronomical Journal, 152(6):206, 2016 (article)

link (url) Project Page [BibTex]

ei Jäkel, F., Singh, M., Wichmann, F. A., Herzog, M. H. An overview of quantitative approaches in Gestalt perception Vision Research, 126, pages: 3-8, 2016 (article)

link (url) DOI Project Page [BibTex]

ei Huang, H., Peloso, G. M., Howrigan, D., Rakitsch, B., Simon-Gabriel, C. J., Goldstein, J. I., Daly, M. J., Borgwardt, K., Neale, B. M. Bootstrat: Population Informed Bootstrapping for Rare Variant Tests bioRxiv, 2016, preprint (article)

link (url) DOI [BibTex]

ei Rueckert, E., Camernik, J., Peters, J., Babic, J. Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control Nature PG: Scientific Reports, 6(Article number: 28455), 2016 (article)

DOI Project Page [BibTex]

ei Mooij, J., Peters, J., Janzing, D., Zscheischler, J., Schölkopf, B. Distinguishing cause from effect using observational data: methods and benchmarks Journal of Machine Learning Research, 17(32):1-102, 2016 (article)

link (url) [BibTex]

ei Babbar, R., Partalas, I., Gaussier, E., Amini, M., Amblard, C. Learning Taxonomy Adaptation in Large-scale Classification Journal of Machine Learning Research, 17(98):1-37, 2016 (article)

link (url) Project Page [BibTex]

ei Janzing, D., Chaves, R., Schölkopf, B. Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference New Journal of Phyiscs, 18(9):093052, 2016 (article)

PDF link (url) DOI [BibTex]

ei Mohr, J., Seyfarth, J., Lueschow, A., Weber, J. E., Wichmann, F. A., Obermayer, K. BOiS—Berlin Object in Scene Database: Controlled Photographic Images for Visual Search Experiments with Quantified Contextual Priors Frontiers in Psychology, 2016 (article)

DOI [BibTex]

ei Zhang, K., Li, J., Bareinboim, E., Schölkopf, B., Pearl, J. Preface to the ACM TIST Special Issue on Causal Discovery and Inference ACM Transactions on Intelligent Systems and Technologies, 7(2):article no. 17, 2016 (article)

DOI [BibTex]

ei Rueckert, E., Kappel, D., Tanneberg, D., Pecevski, D., Peters, J. Recurrent Spiking Networks Solve Planning Tasks Nature PG: Scientific Reports, 6(Article number: 21142), 2016 (article)

DOI Project Page [BibTex]

ei Genewein, T, Braun, DA Bio-inspired feedback-circuit implementation of discrete, free energy optimizing, winner-take-all computations Biological Cybernetics, 110(2):135–150, June 2016 (article)

DOI [BibTex]

ei Grau-Moya, J, Ortega, PA, Braun, DA Decision-Making under Ambiguity Is Modulated by Visual Framing, but Not by Motor vs. Non-Motor Context: Experiments and an Information-Theoretic Ambiguity Model PLoS ONE, 11(4):1-21, April 2016 (article)

DOI [BibTex]

ei Peters, J., Janzing, D., Schölkopf, B. Causal Inference on Discrete Data using Additive Noise Models IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(12):2436-2450, December 2011 (article)

PDF Web DOI [BibTex]

ei Becker, C., Hagmann, J., Müller, J., Koenig, D., Stegle, O., Borgwardt, K., Weigel, D. Spontaneous epigenetic variation in the Arabidopsis thaliana methylome Nature, 480(7376):245-249, December 2011 (article)

Web DOI [BibTex]

ei Kalev, I., Habeck, M. HHfrag: HMM-based fragment detection using HHpred Bioinformatics, 27(22):3110-3116, November 2011 (article)

Web DOI [BibTex]

ei Hachiya, H., Peters, J., Sugiyama, M. Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning Neural Computation, 23(11):2798-2832, November 2011 (article)

Web DOI [BibTex]

ei Nguyen-Tuong, D., Peters, J. Model Learning in Robotics: a Survey Cognitive Processing, 12(4):319-340, November 2011 (article)

PDF [BibTex]

ei Lippert, C., Listgarten, J., Liu, Y., Kadie, CM., Davidson, RI., Heckerman, D. FaST linear mixed models for genome-wide association studies Nature Methods, 8(10):833–835, October 2011 (article)

PDF DOI [BibTex]

ei Ecker, A., Berens, P., Tolias, A., Bethge, M. The effect of noise correlations in populations of diversely tuned neurons Journal of Neuroscience, 31(40):14272-14283, October 2011 (article)

Web DOI [BibTex]

ei Dinuzzo, F. Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods IEEE Transactions on Neural Networks, 22(10):1576-1587, October 2011 (article)

Web DOI [BibTex]

ei Mülling, K., Kober, J., Peters, J. A biomimetic approach to robot table tennis Adaptive Behavior , 19(5):359-376 , October 2011 (article)

PDF Web DOI [BibTex]

ei Cao, J., Schneeberger, K., Ossowski, S., Günther, T., Bender, S., Fitz, J., Koenig, D., Lanz, C., Stegle, O., Lippert, C., Wang, X., Ott, F., Müller, J., Alonso-Blanco, C., Borgwardt, K., Schmid, K., Weigel, D. Whole-genome sequencing of multiple Arabidopsis thaliana populations Nature Genetics, 43(10):956–963, October 2011 (article)

Web DOI [BibTex]

ei Gan, X., Stegle, O., Behr, J., Steffen, J., Drewe, P., Hildebrand, K., Lyngsoe, R., Schultheiss, S., Osborne, E., Sreedharan, V., Kahles, A., Bohnert, R., Jean, G., Derwent, P., Kersey, P., Belfield, E., Harberd, N., Kemen, E., Toomajian, C., Kover, P., Clark, R., Rätsch, G., Mott, R. Multiple reference genomes and transcriptomes for Arabidopsis thaliana Nature, 477(7365):419–423, September 2011 (article)

Web DOI [BibTex]

ei Shervashidze, N., Schweitzer, P., van Leeuwen, E., Mehlhorn, K., Borgwardt, M. Weisfeiler-Lehman Graph Kernels Journal of Machine Learning Research, 12, pages: 2539-2561, September 2011 (article)

PDF Web [BibTex]

ei Grosse-Wentrup, M. What are the Causes of Performance Variation in Brain-Computer Interfacing? International Journal of Bioelectromagnetism, 13(3):115-116, September 2011 (article)

PDF Web [BibTex]