Conference Paper (94)

261.
Conference Paper
Hohmann, M. R.; Konieczny, L.; Hackl, M.; Wirth, B.; Zaman, T.; Enficiaud, R.; Grosse-Wentrup, M.; Schölkopf, B.: MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware. In: UIST '20: Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, pp. 1071 - 1084. ACM Symposium on User Interface Software and Technology (UIST 2020), Virtual Event, October 20, 2020 - October 23, 2020. ACM, New York, NY (2020)
262.
Conference Paper
Peters, J.: Towards Robot Skill Learning. In: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2020), p. 3 - 3. IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2020), Ponta Delgada, April 15, 2020 - April 17, 2020. IEEE, Piscataway, NJ (2020)
263.
Conference Paper
Raj, A.; Musco, C.; Mackey, L.: Importance Sampling via Local Sensitivity. In: Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020, pp. 3099 - 3109 (Eds. Chiappa, S.; Calandra, R.). 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020), Online, August 26, 2020 - August 28, 2020. PMLR (2020)
264.
Conference Paper
Daxberger, E.; Makarova, A.; Turchetta, M.; Krause, A.: Mixed-Variable Bayesian Optimization. In: Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), pp. 2616 - 2622. Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 20), Yokohama, January 07, 2020 - January 15, 2020. Curran Associates, Inc., Red Hook, NY (2020)
265.
Conference Paper
Locatello, F.; Bauer, S.; Lucic, M.; Rätsch, G.; Gelly, S.; Schölkopf, B.; Bachem, O.: A Commentary on the Unsupervised Learning of Disentangled Representations. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Vol. 9, pp. 13681 - 13684. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, February 07, 2020 - February 12, 2020. AAAI Press, Palo Alto, CA (2020)
266.
Conference Paper
Harder, F.; Bauer, M.; Park, M.: Interpretable and Differentially Private Predictions. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Vol. 4, pp. 4083 - 4090. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, February 07, 2020 - February 12, 2020. AAAI Press, Palo Alto, CA (2020)
267.
Conference Paper
Oh, C.; Adamczewski, K.; Park, M.: Radial and Directional Posteriors for Bayesian Deep Learning. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Vol. 4, pp. 5298 - 5305. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, February 07, 2020 - February 12, 2020. AAAI Press, Palo Alto, CA (2020)
268.
Conference Paper
Rüegg, N.; Lassner, C.; Black, M.; Schindler, K.: Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Vol. 4, pp. 5561 - 5569. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, February 07, 2020 - February 12, 2020. AAAI Press, Palo Alto, CA (2020)
269.
Conference Paper
Schwab, P.; Linhardt, L.; Bauer, S.; Buhmann, J. M.; Karlen, W.: Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Vol. 4, pp. 5612 - 5619. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, February 07, 2020 - February 12, 2020. AAAI Press, Palo Alto, CA (2020)
270.
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Wenk, P.; Abbati, G.; Osborne, M. A.; Schölkopf, B.; Krause, A.; Bauer, S.: ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Vol. 4, pp. 6364 - 6371. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, February 07, 2020 - February 12, 2020. AAAI Press, Palo Alto, CA (2020)
271.
Conference Paper
Blaes, S.; Vlastelica Pogancic, M.; Zhu, J.-J.; Martius, G.: Control What You Can: Intrinsically Motivated Task-Planning Agent. In: Advances in Neural Information Processing Systems 32, Vol. 16, pp. 12520 - 12531 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33nd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, December 08, 2019 - December 14, 2019. Curran Associates, Inc., Red Hook, NY (2020)
272.
Conference Paper
Bradshaw, J.; Paige, B.; Kusner, M. J.; Segler, M. H. S.; Hernández-Lobato, J. M.: A Model to Search for Synthesizable Molecules. In: Advances in Neural Information Processing Systems 32, Vol. 10, pp. 7905 - 7917 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer, A.; F. d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, December 08, 2019 - December 14, 2019. Curran Associates, Inc., Red Hook, NY (2020)
273.
Conference Paper
Ghoshdastidar, D.; Perrot, M.; von Luxburg, U.: Foundations of Comparison-Based Hierarchical Clustering. In: Advances in Neural Information Processing Systems 32, Vol. 10, pp. 7456 - 7466 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer, A.; F. d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, December 08, 2019 - December 14, 2019. Curran Associates, Inc., Red Hook, NY (2020)
274.
Conference Paper
Gondal, M. W.; Wüthrich, M.; Miladinović, D.; Locatello, F.; Breidt, M.; Volchkov, V.; Akpo, J.; Bachem, O.; Schölkopf, B.; Bauer, S.: On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset. In: Advances in Neural Information Processing Systems 32, Vol. 20, pp. 15661 - 15672 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, December 08, 2019 - December 14, 2019. Curran Associates, Inc., Red Hook, NY (2020)
275.
Conference Paper
Kanagawa, M.; Hennig, P.: Convergence Guarantees for Adaptive Bayesian Quadrature Methods. In: Advances in Neural Information Processing Systems 32, Vol. 8, pp. 6205 - 6216 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, December 08, 2019 - December 14, 2019. Curran Associates, Inc., Red Hook, NY (2020)
276.
Conference Paper
Kunstner, F.; Balles, L.; Hennig, P.: Limitations of the Empirical Fisher Approximation for Natural Gradient Descent. In: Advances in Neural Information Processing Systems 32, Vol. 6, pp. 4133 - 4144 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, December 08, 2019 - December 14, 2019. Curran Associates, Inc., Red Hook, NY (2020)
277.
Conference Paper
Lim, J. N.; Yamada, M.; Schölkopf, B.; Jitkrittum, W.: Kernel Stein Tests for Multiple Model Comparison. In: Advances in Neural Information Processing Systems 32, Vol. 3, pp. 2232 - 2242 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, December 08, 2019 - December 14, 2019. Curran Associates, Inc., Red Hook, NY (2020)
278.
Conference Paper
Liu, S.; Kanamori, T.; Jitkrittum, W.; Chen, Y.: Fisher Efficient Inference of Intractable Models. In: Advances in Neural Information Processing Systems 32, Vol. 12, pp. 8761 - 8770 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, December 08, 2019 - December 14, 2019. Curran Associates, Red Hook, NY (2020)
279.
Conference Paper
Locatello, F.; Abbati, G.; Rainforth, T.; Bauer, S.; Schölkopf, B.; Bachem, O.: On the Fairness of Disentangled Representations. In: Advances in Neural Information Processing Systems 32, Vol. 19, pp. 14544 - 14557 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, December 08, 2019 - December 14, 2019. Curran Associates, Inc., Red Hook, NY (2020)
280.
Conference Paper
Locatello, F.; Yurtsever, A.; Fercoq, O.; Cevher, V.: Stochastic Frank-Wolfe for Composite Convex Minimization. In: Advances in Neural Information Processing Systems 32, Vol. 18, pp. 14202 - 14212 (Eds. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, December 08, 2019 - December 14, 2019. Curran Associates, Inc., Red Hook, NY (2020)
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