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Poster
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Thu 14:00
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SignRFF: Sign Random Fourier Features
Xiaoyun Li · Ping Li
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Poster
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Thu 14:00
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Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
Yusuke Tanaka · Tomoharu Iwata · naonori ueda
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Workshop
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Integrated Fourier Features for Fast Sparse Variational Gaussian Process Regression
Talay Cheema
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Workshop
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Random Features Approximation for Fast Data-Driven Control
Kimia Kazemian · Sarah Dean
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Workshop
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Contrasting random and learned features in deep Bayesian linear regression
Jacob Zavatone-Veth · William Tong · Cengiz Pehlevan
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Poster
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Thu 9:00
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On the Double Descent of Random Features Models Trained with SGD
Fanghui Liu · Johan Suykens · Volkan Cevher
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Poster
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Thu 14:00
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Efficient Dataset Distillation using Random Feature Approximation
Noel Loo · Ramin Hasani · Alexander Amini · Daniela Rus
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Poster
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Thu 9:00
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Chefs' Random Tables: Non-Trigonometric Random Features
Valerii Likhosherstov · Krzysztof M Choromanski · Kumar Avinava Dubey · Frederick Liu · Tamas Sarlos · Adrian Weller
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Poster
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Tue 9:00
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Learning single-index models with shallow neural networks
Alberto Bietti · Joan Bruna · Clayton Sanford · Min Jae Song
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Poster
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Thu 9:00
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High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang
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