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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)
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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)
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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. 266.
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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. 267.
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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)
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. 268.
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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)
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. 269.
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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)
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. 270.
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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. 271.
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Control What You Can: Intrinsically Motivated Task-Planning Agent. In: Advances in Neural Information Processing Systems 32, Vol. 272.
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A Model to Search for Synthesizable Molecules. In: Advances in Neural Information Processing Systems 32, Vol. 273.
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Foundations of Comparison-Based Hierarchical Clustering. In: Advances in Neural Information Processing Systems 32, Vol. 274.
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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)
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. 275.
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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)
Convergence Guarantees for Adaptive Bayesian Quadrature Methods. In: Advances in Neural Information Processing Systems 32, Vol. 276.
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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)
Limitations of the Empirical Fisher Approximation for Natural Gradient Descent. In: Advances in Neural Information Processing Systems 32, Vol. 277.
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Kernel Stein Tests for Multiple Model Comparison. In: Advances in Neural Information Processing Systems 32, Vol. 278.
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Fisher Efficient Inference of Intractable Models. In: Advances in Neural Information Processing Systems 32, Vol. 279.
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On the Fairness of Disentangled Representations. In: Advances in Neural Information Processing Systems 32, Vol. 280.
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