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Oral
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Tue 12:00 |
Maximal Couplings of the Metropolis-Hastings Algorithm Guanyang Wang · John O'Leary · Pierre Jacob |
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Poster
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Tue 14:00 |
On the Privacy Properties of GAN-generated Samples Zinan Lin · Vyas Sekar · Giulia Fanti |
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Poster
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Wed 6:00 |
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms Alicia Curth · Mihaela van der Schaar |
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Poster
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Tue 14:00 |
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain Fergus Simpson · Alexis Boukouvalas · Vaclav Cadek · Elvijs Sarkans · Nicolas Durrande |
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Poster
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Tue 14:00 |
List Learning with Attribute Noise Mahdi Cheraghchi · Elena Grigorescu · Brendan Juba · Karl Wimmer · Ning Xie |
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Poster
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Tue 14:00 |
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model Jiaqi Ma · Xinyang Yi · Weijing Tang · Zhe Zhao · Lichan Hong · Ed Chi · Qiaozhu Mei |
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Poster
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Wed 12:45 |
Probabilistic Sequential Matrix Factorization Omer Deniz Akyildiz · Gerrit van den Burg · Theodoros Damoulas · Mark Steel |
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Poster
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Wed 6:00 |
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning Konstantinos Panagiotis Panousis · Sotirios Chatzis · Antonios Alexos · Sergios Theodoridis |
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Poster
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Wed 12:45 |
Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems Mansur Arief · Zhiyuan Huang · Guru Koushik Senthil Kumar · Yuanlu Bai · Shengyi He · Wenhao Ding · Henry Lam · Ding Zhao |
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Poster
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Wed 12:45 |
Curriculum Learning by Optimizing Learning Dynamics Tianyi Zhou · Shengjie Wang · Jeff Bilmes |
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Poster
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Tue 14:00 |
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy · Iskander Azangulov · Alexander Terenin · Peter Mostowsky · Marc Deisenroth · Nicolas Durrande |
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Poster
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Thu 7:30 |
Approximating Lipschitz continuous functions with GroupSort neural networks Ugo Tanielian · Gerard Biau |