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Workshop
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Improving the Gaussian Approximation in Neural Networks: Para-Gaussians and Edgeworth Expansions
Mihai Nica · Janosch Ortmann
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Workshop
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Sat 11:10
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Contributed Talk: Taiwo Adebiyi - Gaussian Process Thompson Sampling via Rootfinding
Taiwo Adebiyi
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Workshop
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Uncovering Neural Encoding Variability with Infinite Gaussian Process Factor Analysis
Changmin Yu · Mate Lengyel
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Workshop
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Sat 11:00
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Contributed Talk: Mathieu Alain - Graph Classification Gaussian Processes via Hodgelet Spectral Features
Mathieu Alain
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Workshop
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Gaussian Process Thompson Sampling via Rootfinding
Taiwo Adebiyi · Bach Do · Ruda Zhang
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Workshop
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Sat 9:30
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Invited Talk: Mark van der Wilk - Open Problems in Gaussian Process Approximation and Benchmarking
Mark van der Wilk
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Poster
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Fri 16:30
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Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
Yunyue Wei · Vincent Zhuang · Saraswati Soedarmadji · Yanan Sui
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Workshop
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Sun 12:00
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Gaussian Process Predictions with Uncertain Inputs Enabled by Uncertainty-Tracking Microprocessors
Janith Petangoda · Chatura Samarakoon · Phillip Stanley-Marbell
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Workshop
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Spectral structure learning for clinical time series
Ivan Lerner · Francis Bach · Anita Burgun
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Workshop
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A scalable Bayesian continual learning framework for online and sequential decision making
Hanwen Xing · Christopher Yau
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Workshop
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Active Learning for Affinity Prediction of Antibodies
Alexandra Gessner · Sebastian Ober · Owen Vickery · Dino Oglic · Talip Ucar
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Workshop
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Computation-Aware Robust Gaussian Processes
Marshal Sinaga · Julien Martinelli · Samuel Kaski
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