Journal Article (241)

241.
Journal Article
Zhang, K.; Schölkopf, B.; Spirtes, P.; Glymour, C.: Learning Causality and Causality-Related Learning: Some Recent Progress. National Science Review 5 (1), pp. 26 - 29 (2018)

Book Chapter (4)

242.
Book Chapter
Kuchenbecker, K. J.: Haptics and Haptic Interfaces. In: Encyclopedia of Robotics (Eds. Ang, M. H.; Khatib, O.; Siciliano, B.). Springer, Berlin, Heidelberg (2018)
243.
Book Chapter
Jayaram, V.; Fiebig, K.-H.; Peters, J.; Grosse-Wentrup, M.: Transfer Learning for BCIs. In: Brain-Computer Interfaces Handbook, pp. 425 - 442 (Eds. Nam, C.S.; Nijholt, A.; Lotte, F.). CRC Press, Boca Raton, FL (2018)
244.
Book Chapter
Lohmann, J.; Janzing, D.: Identification of Causal Dependences in Gene Regulatory Networks Using Algorithmic Information Theory. In: Information- and Communication Theory in Molecular Biology, pp. 315 - 330 (Ed. Bossert, M.). Springer, Cham (2018)
245.
Book Chapter
Wichmann, F.; Jäkel, F.: Methods in Psychophysics. In: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience, Vol. 5, pp. 265 - 306 (Eds. Wixted, J. T.; Wagenmakers, E.-J.). Wiley, New York, NY (2018)

Conference Paper (131)

246.
Conference Paper
Callaway, F.; Gul, S.; Krueger, P.; Griffiths, T. L.; Lieder, F.: Learning to select computations. In: 34th Conference on Uncertainty in Artificial Intelligence 2018, Vol. 2, 269, pp. 776 - 785 (Eds. Globerson, A.; Silva, R.). 34th Conference on Uncertainty in Artificial Intelligence (UAI 2018), Monterey, CA, USA, August 06, 2018 - August 10, 2018. Curran Associates, Inc., Red Hook, NY (2018)
247.
Conference Paper
Kapoor, J.; Vergari, A.; Gomez Rodriguez, M.; Valera, I.: Bayesian Nonparametric Hawkes Processes. In: BNP@NeurIPS 2018: All of Bayesian Nonparametrics (Especially the Useful Bits). All of Bayesian Nonparametrics: Especially the Useful Bits (BNP@NeurIPS 2018), Montreal, Canada, December 07, 2018. (2018)
248.
Conference Paper
Rubenstein, P.; Bongers, S.; Schölkopf, B.; Mooij, J. M.: From Deterministic ODEs to Dynamic Structural Causal Models. In: 34th Conference on Uncertainty in Artificial Intelligence 2018, Vol. 1, 43, pp. 114 - 123 (Eds. Globerson, A.; Silva , R.). 34th Conference on Uncertainty in Artificial Intelligence (UAI 2018), Monterey, CA, USA, August 06, 2018 - August 10, 2018. Curran Associates, Inc., Red Hook, NY (2018)
249.
Conference Paper
Gondaliya, K. D.; Peters, J.; Rueckert, E.: Learning to Categorize Bug Reports with LSTM Networks. In: VALID 2018 The Tenth International Conference on Advances in System Testing and Validation Lifecycle, pp. 7 - 12 (Ed. Rooyen, J. v.). International Conference on Advances in System Testing and Validation Lifecycle (VALID 2018), Nice, France, October 14, 2018 - October 18, 2018. IARIA, Wilmington, DE (2018)
250.
Conference Paper
Ranjan, A.; Romero, J.; Black, M. J.: Learning Human Optical Flow. In: Proceedings of the British Machine Vision Conference 2018, 121. British Machine Vision Conference (BMVC 2018), Newcastle upon Tyne, September 03, 2018 - September 06, 2018. BMVA Press, Durham (2018)
251.
Conference Paper
Zhang, Y.; Tang, S.; Sun, H.; Neumann, H.: Human Motion Parsing by Hierarchical Dynamic Clustering. In: Proceedings of the British Machine Vision Conference 2018, 1000. British Machine Vision Conference (BMVC 2018), Newcastle upon Tyne, September 03, 2018 - September 06, 2018. BMVA Press, Durham (2018)
252.
Conference Paper
Pinneri, C.; Martius, G.: Systematic self-exploration of behaviors for robots in a dynamical systems framework. In: Proceedings of the Artificial Life Conference (ALIFE 2018), Vol. 30, pp. 319 - 326 (Eds. Ikegami, T.; Virgo, N.; Witkowski, O.; Mizuki, O.; Suzuki, R. et al.). Conference on Artificial Life (ALIFE 2018), Tokyo, Japan, July 23, 2018 - July 27, 2018. MIT Press, Cambridge, MA (2018)
253.
Conference Paper
Huang, B.; Zhang, K.; Lin, Y.; Schölkopf, B.; Glymour, C.: Generalized Score Functions for Causal Discovery. In: KDD '18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 1551 - 1560. 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), London, August 19, 2018 - August 23, 2018. ACM, New York, NY (2018)
254.
Conference Paper
Schölkopf, B.; Wüthrich, M.: Iterative Model-Fitting and Local Controller Optimization - Towards a Better Understanding of Convergence Properties. In: Workshop on Prediction and Generative Modeling in Reinforcement Learning. Workshop on Prediction and Generative Modeling in Reinforcement Learning, Stockholm, Sweden, July 15, 2018. (2018)
255.
Conference Paper
Gu, S.; Lillicrap, T.; Turner, R. E.; Ghahramani, Z.; Schölkopf, B.; Levine, S.: Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning. In: Advances in Neural Information Processing Systems 30, Vol. 6, pp. 3847 - 3856 (Eds. Guyon, I.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S. et al.). 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, December 04, 2017 - December 09, 2017. Curran Associates, Inc., Red Hook, NY (2018)
256.
Conference Paper
Hausman, K.; Chebotar, Y.; Schaal, S.; Sukhatme, G.; Lim, J.: Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets. In: Advances in Neural Information Processing Systems 30, Vol. 2, pp. 1236 - 1246 (Eds. Guyon, I.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S. et al.). 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, December 04, 2017 - December 09, 2017. Curran Associates, Inc., Red Hook, NY (2018)
257.
Conference Paper
Kilbertus, N.; Rojas-Carulla, M.; Parascandolo, G.; Hardt, M.; Janzing, D.; Schölkopf, B.: Avoiding Discrimination through Causal Reasoning. In: Advances in Neural Information Processing Systems 30, Vol. 1, pp. 657 - 667 (Eds. Guyon, I.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S. et al.). 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, December 04, 2017 - December 09, 2017. Curran Associates, Inc., Red Hook, NY (2018)
258.
Conference Paper
Kleindessner, M.; von Luxburg, U.: Kernel functions based on triplet comparisons. In: Advances in Neural Information Processing Systems 30, Vol. 10, pp. 6808 - 6818 (Eds. Guyon, I.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S. et al.). 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, December 04, 2017 - December 09, 2017. Curran Associates, Inc., Red Hook, NY (2018)
259.
Conference Paper
Locatello, F.; Tschannen, M.; Rätsch, G.; Jaggi, M.: Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees. In: Advances in Neural Information Processing Systems 30, Vol. 2, pp. 774 - 785 (Eds. Guyon, I.; Bengio, S.). 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, December 04, 2017 - December 09, 2017. Curran Associates, Inc., Red Hook, NY (2018)
260.
Conference Paper
Mescheder, L.; Nowozin, S.; Geiger, A.: The Numerics of GANs. In: Advances in Neural Information Processing Systems 30, Vol. 3, pp. 1826 - 1836 (Eds. Guyon, I.; Bengio, S.; Wallach, H.; Fergus, R.; Vishwanathan, S. et al.). 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, December 04, 2017 - December 09, 2017. Curran Associates, Inc., Red Hook, NY (2018)
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