Publications of B Schölkopf

Conference Paper (212)

161.
Conference Paper
Besserve, M.; Shajarisales, N.; Schölkopf, B.; Janzing, D.: Group invariance principles for causal generative models. In: International Conference on Artificial Intelligence and Statistics, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, pp. 557 - 565 (Eds. Storkey , A.; Perez-Cruz, F.). 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Playa Blanca, Spain, April 09, 2018 - April 11, 2018. International Machine Learning Society, Madison, WI, USA (2018)
162.
Conference Paper
Loktyushin, A.; Schuler, C.; Scheffler, K.; Schölkopf, B.: Retrospective Motion Correction of Magnitude-Input MR Images. In: Machine Learning Meets Medical Imaging, pp. 3 - 12 (Ed. Bhatia , K.K.). First International Workshop on Machine Learning Meets Medical Imaging (MLMMI 2015), held in conjunction with ICML 2015, Lille, France, July 11, 2015. IEEE, Piscataway, NJ, USA (2016)
163.
Conference Paper
Shajarisales, N.; Janzing, D.; Schölkopf, B.; Besserve, M.: Telling Cause from Effect in Deterministic Linear Dynamical Systems. In: International Conference on Machine Learning, 7-9 July 2015, Lille, France, pp. 285 - 294 (Eds. Bach , F.; Blei, D.). 32nd International Conference on Machine Learning (ICML 2015), Lille, France. International Machine Learning Society, Madison, WI, USA (2015)
164.
Conference Paper
Besserve, M.; Logothetis, N.; Schölkopf, B.: Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. In: Advances in Neural Information Processing Systems 26, pp. 2535 - 2543 (Eds. Burges, C.; Bottou, L.; Welling, M.; Ghahramani, Z.; Weinberger, K.Q.). Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, NV, USA. Curran, Red Hook, NY, USA (2014)
165.
Conference Paper
Mülling, K.; Boularias, A.; Mohler, B.; Schoelkopf, B.; Peters, J.: Inverse Reinforcement Learning for Strategy Extraction. In: ECML PKDD 2013 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2013), pp. 1 - 9. ECML PKDD 2013 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2013), Praha, Czech Republic. (2013)
166.
Conference Paper
Köhler, R.; Hirsch, M.; Mohler, B.; Schölkopf, B.; Harmeling, S.: Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database. In: Computer Vision - ECCV 2012, pp. 27 - 40 (Eds. Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmid, C.). 12th European Conference on Computer Vision (ECCV 2012), Firenze, Italy, October 07, 2012 - October 13, 2012. Springer, Berlin, Germany (2012)
167.
Conference Paper
Gomez Rodriguez, M.; Schölkopf, B.: Influence Maximization in Continuous Time Diffusion Networks. In: 29th International Conference on Machine Learning (ICML 2012), pp. 313 - 320 (Eds. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)
168.
Conference Paper
Gomez Rodriguez, M.; Schölkopf, B.: Submodular Inference of Diffusion Networks from Multiple Trees. In: 29th International Conference on Machine Learning (ICML 2012), pp. 489 - 496 (Eds. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)
169.
Conference Paper
Schölkopf, B.; Janzing, D.; Peters, J.; Sgouritsa, E.; Zhang, K.; Mooij, J.: On causal and anticausal learning. In: 29th International Conference on Machine Learning (ICML 2012), pp. 1255 - 1262 (Eds. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)
170.
Conference Paper
Wang, Z.; Deisenroth, M.; Ben Amor, H.; Vogt, D.; Schölkopf, B.; Peters, J.: Probabilistic Modeling of Human Movements for Intention Inference. In: Robotics: Science and Systems VIII, pp. 433 - 440 (Eds. Roy, N.; Newman, P.; Srinivasa, S.). 2012 Robotics: Science and Systems Conference, Sydney, Australia. MIT Press, Cambridge, MA, USA (2012)
171.
Conference Paper
Gehler, P.; Rother, C.; Kiefel, M.; Zhang, L.; Schölkopf, B.: Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance. In: Advances in Neural Information Processing Systems 24, pp. 765 - 773 (Eds. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)
172.
Conference Paper
Mooij, J.; Janzing, D.; Heskes, T.; Schölkopf, B.: On Causal Discovery with Cyclic Additive Noise Models. In: Advances in Neural Information Processing Systems 24, pp. 639 - 647 (Eds. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)
173.
Conference Paper
Hirsch, M.; Schuler, C.; Harmeling, S.; Schölkopf, B.: Fast removal of non-uniform camera shake. In: 13th IEEE International Conference on Computer Vision (ICCV 2011), pp. 463 - 470. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain. IEEE, Piscataway, NJ, USA (2011)
174.
Conference Paper
Schuler, C.; Hirsch, M.; Harmeling, S.; Schölkopf, B.: Non-stationary correction of optical aberrations. In: 13th IEEE International Conference on Computer Vision (ICCV 2011), pp. 659 - 666. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain. IEEE, Piscataway, NJ, USA (2011)
175.
Conference Paper
Bocsi, B.; Nguyen-Tuong, D.; Csato, L.; Schölkopf, B.; Peters, J.: Learning inverse kinematics with structured prediction. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), pp. 698 - 703 (Ed. Amato, N.). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, CA, USA. IEEE, Piscataway, NJ, USA (2011)
176.
Conference Paper
Wang, Z.; Lampert, C.; Mülling, K.; Schölkopf, B.; Peters, J.: Learning anticipation policies for robot table tennis. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), pp. 332 - 337 (Ed. Amato, N.). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, CA, USA. IEEE, Piscataway, NJ, USA (2011)
177.
Conference Paper
Achlioptas, P.; Schölkopf, B.; Borgwardt, K.: Two-locus association mapping in subquadratic time. In: 17th ACM SIGKKD Conference on Knowledge Discovery and Data Mining (KDD 2011), pp. 726 - 734 (Eds. Apté, C.; Ghosh, J.; Smyth, P.). 17th ACM SIGKKD Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA. ACM Press, New York, NY, USA (2011)
178.
Conference Paper
Besserve, M.; Janzing, D.; Logothetis, N.; Schölkopf, B.: Finding dependencies between frequencies with the kernel cross-spectral density. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), pp. 2080 - 2083. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Praha, Czech Republic, May 22, 2011 - May 27, 2011. IEEE, Piscataway, NJ, USA (2011)
179.
Conference Paper
Franc, V.; Zien, A.; Schölkopf, B.: Support Vector Machines as Probabilistic Models. In: 28th International Conference on Machine Learning (ICML 2011), pp. 665 - 672 (Eds. Getoor, L.; Scheffer, T.). 28th International Conference on Machine Learning (ICML 2011), Bellevue, WA, USA. International Machine Learning Society, Madison, WI, USA (2011)
180.
Conference Paper
Gomez Rodriguez, M.; Balduzzi, D.; Schölkopf, B.: Uncovering the Temporal Dynamics of Diffusion Networks. In: 28th International Conference on Machine Learning (ICML 2011), pp. 561 - 568 (Eds. Getoor, L.; Scheffer, T.). 28th International Conference on Machine Learning (ICML 2011), Bellevue, WA, USA. International Machine Learning Society, Madison, WI, USA (2011)
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