Poster

Thu 14:00

SignRFF: Sign Random Fourier Features
Xiaoyun Li · Ping Li

Poster

Thu 14:00

Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
Yusuke Tanaka · Tomoharu Iwata · naonori ueda

Workshop

Integrated Fourier Features for Fast Sparse Variational Gaussian Process Regression
Talay Cheema

Workshop

Random Features Approximation for Fast Data-Driven Control
Kimia Kazemian · Sarah Dean

Workshop

Contrasting random and learned features in deep Bayesian linear regression
Jacob Zavatone-Veth · William Tong · Cengiz Pehlevan

Poster

Thu 9:00

On the Double Descent of Random Features Models Trained with SGD
Fanghui Liu · Johan Suykens · Volkan Cevher

Poster

Thu 14:00

Efficient Dataset Distillation using Random Feature Approximation
Noel Loo · Ramin Hasani · Alexander Amini · Daniela Rus

Poster

Thu 9:00

Chefs' Random Tables: Non-Trigonometric Random Features
Valerii Likhosherstov · Krzysztof M Choromanski · Kumar Avinava Dubey · Frederick Liu · Tamas Sarlos · Adrian Weller

Poster

Tue 9:00

Learning single-index models with shallow neural networks
Alberto Bietti · Joan Bruna · Clayton Sanford · Min Jae Song

Poster

Thu 9:00

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

10 Results