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Poster
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Wed 17:00
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Band-Limited Gaussian Processes: The Sinc Kernel
Felipe Tobar
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Poster
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Wed 17:00
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Structured Variational Inference in Continuous Cox Process Models
Virginia Aglietti · Edwin Bonilla · Theodoros Damoulas · Sally Cripps
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Poster
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Wed 17:00
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Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
Greg Yang
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Poster
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Tue 17:30
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Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
Rui Li
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Poster
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Wed 17:00
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Multi-task Learning for Aggregated Data using Gaussian Processes
Fariba Yousefi · Michael T Smith · Mauricio Álvarez
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Poster
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Tue 17:30
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Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes
Siqi Liu · Milos Hauskrecht
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Poster
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Tue 17:30
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Approximate Inference Turns Deep Networks into Gaussian Processes
Mohammad Emtiyaz Khan · Alexander Immer · Ehsan Abedi · Maciej Korzepa
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Poster
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Tue 17:30
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Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Armin Lederer · Jonas Umlauft · Sandra Hirche
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Poster
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Tue 17:30
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Bayesian Optimization under Heavy-tailed Payoffs
Sayak Ray Chowdhury · Aditya Gopalan
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Poster
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Tue 10:45
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Convergence Guarantees for Adaptive Bayesian Quadrature Methods
Motonobu Kanagawa · Philipp Hennig
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Spotlight
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Tue 16:45
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Implicit Posterior Variational Inference for Deep Gaussian Processes
Haibin YU · Yizhou Chen · Bryan Kian Hsiang Low · Patrick Jaillet · Zhongxiang Dai
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Poster
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Thu 10:45
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Max-value Entropy Search for Multi-Objective Bayesian Optimization
Syrine Belakaria · Aryan Deshwal · Janardhan Rao Doppa
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