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Poster
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Thu 17:00
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How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
Zixiang Chen · Yuan Cao · Difan Zou · Quanquan Gu
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Poster
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Mon 1:00
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The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
Louis THIRY · Michael Arbel · Eugene Belilovsky · Edouard Oyallon
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Poster
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Tue 17:00
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A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Da Xu · Chuanwei Ruan · evren korpeoglu · Sushant Kumar · kannan achan
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Poster
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Thu 1:00
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Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
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Poster
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Wed 1:00
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A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang · Maurice Weiler
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Poster
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Tue 17:00
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Deep Equals Shallow for ReLU Networks in Kernel Regimes
Alberto Bietti · Francis Bach
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Poster
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Wed 9:00
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Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Martin Wistuba · Josif Grabocka
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Poster
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Thu 17:00
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The Recurrent Neural Tangent Kernel
Sina Alemohammad · Jack Wang · Randall Balestriero · Richard Baraniuk
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Workshop
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Fri 11:40
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Deep Kernels with Probabilistic Embeddings for Small-Data Learning
Ankur Mallick
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Poster
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Wed 9:00
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Sliced Kernelized Stein Discrepancy
Wenbo Gong · Yingzhen Li · José Miguel Hernández Lobato
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Workshop
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Fri 6:14
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Density Approximation in Deep Generative Models with Kernel Transfer Operators
Zhichun Huang
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