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Workshop
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Fri 12:00
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On Kernel Methods for Covariates that are Rankings.
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Workshop
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Fri 10:10
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On Kernel Methods for Covariates that are Rankings (poster).
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Poster
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Tue 18:30
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Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
Veeranjaneyulu Sadhanala · Yu-Xiang Wang · James Sharpnack · Ryan Tibshirani
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Poster
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Mon 18:30
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Robust Hypothesis Test for Nonlinear Effect with Gaussian Processes
Jeremiah Liu · Brent Coull
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Poster
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Wed 18:30
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Convolutional Gaussian Processes
Mark van der Wilk · Carl Edward Rasmussen · James Hensman
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Poster
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Wed 18:30
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Multi-Task Learning for Contextual Bandits
Aniket Anand Deshmukh · Urun Dogan · Clay Scott
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Poster
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Tue 18:30
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Gaussian Quadrature for Kernel Features
Tri Dao · Christopher M De Sa · Christopher Ré
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Poster
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Wed 18:30
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Multiresolution Kernel Approximation for Gaussian Process Regression
Yi Ding · Risi Kondor · Jonathan Eskreis-Winkler
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Poster
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Wed 18:30
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Early stopping for kernel boosting algorithms: A general analysis with localized complexities
Yuting Wei · Fanny Yang · Martin Wainwright
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Poster
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Mon 18:30
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Invariance and Stability of Deep Convolutional Representations
Alberto Bietti · Julien Mairal
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Poster
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Tue 18:30
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The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
Krzysztof Choromanski · Mark Rowland · Adrian Weller
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Poster
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Mon 18:30
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Testing and Learning on Distributions with Symmetric Noise Invariance
Ho Chung Law · Christopher Yau · Dino Sejdinovic
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