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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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Compositional Task Generalization with Modular Successor Feature Approximators
Wilka Carvalho Carvalho
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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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Efficient Dataset Distillation using Random Feature Approximation
Noel Loo · Ramin Hasani · Alexander Amini · Daniela Rus
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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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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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Tue 14:00
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Neural Approximation of Graph Topological Features
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Yusu Wang · Chao Chen
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Poster
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Wed 9:00
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A Direct Approximation of AIXI Using Logical State Abstractions
Samuel Yang-Zhao · Tianyu Wang · Kee Siong Ng
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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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On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
Valentin Thomas
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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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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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