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186 Results
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Poster
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Thu 10:45 |
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes David Salinas · Michael Bohlke-Schneider · Laurent Callot · Roberto Medico · Jan Gasthaus |
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Poster
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Tue 17:30 |
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes Creighton Heaukulani · Mark van der Wilk |
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Poster
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Thu 10:45 |
Max-value Entropy Search for Multi-Objective Bayesian Optimization Syrine Belakaria · Aryan Deshwal · Janardhan Rao Doppa |
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Poster
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Tue 10:45 |
Convergence Guarantees for Adaptive Bayesian Quadrature Methods Motonobu Kanagawa · Philipp Hennig |
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Poster
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Thu 10:45 |
Random deep neural networks are biased towards simple functions Giacomo De Palma · Bobak Kiani · Seth Lloyd |
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Poster
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Tue 17:30 |
Scalable Global Optimization via Local Bayesian Optimization David Eriksson · Michael Pearce · Jacob Gardner · Ryan Turner · Matthias Poloczek |
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Poster
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Wed 17:00 |
Function-Space Distributions over Kernels Gregory Benton · Wesley Maddox · Jayson Salkey · Julio Albinati · Andrew Gordon Wilson |
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Poster
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Thu 10:45 |
Hyperparameter Learning via Distributional Transfer Ho Chung Law · Peilin Zhao · Leung Sing Chan · Junzhou Huang · Dino Sejdinovic |
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Poster
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Thu 17:00 |
Paraphrase Generation with Latent Bag of Words Yao Fu · Yansong Feng · John Cunningham |
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Poster
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Wed 17:00 |
Exact Gaussian Processes on a Million Data Points Ke Alexander Wang · Geoff Pleiss · Jacob Gardner · Stephen Tyree · Kilian Weinberger · Andrew Gordon Wilson |
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Poster
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Wed 17:00 |
No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa · Ilija Bogunovic · Maryam Kamgarpour · Andreas Krause |
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Poster
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Tue 17:30 |
Implicit Posterior Variational Inference for Deep Gaussian Processes Haibin YU · Yizhou Chen · Bryan Kian Hsiang Low · Patrick Jaillet · Zhongxiang Dai |