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11 Results
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Workshop
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Privacy at Interpolation: Precise Analysis for Random and NTK Features Simone Bombari · Marco Mondelli |
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Poster
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Thu 8:45 |
Error Bounds for Learning with Vector-Valued Random Features Samuel Lanthaler · Nicholas H. Nelsen |
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Poster
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Thu 15:00 |
Self-Supervised Reinforcement Learning that Transfers using Random Features Boyuan Chen · Chuning Zhu · Pulkit Agrawal · Kaiqing Zhang · Abhishek Gupta |
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Poster
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Thu 15:00 |
What can a Single Attention Layer Learn? A Study Through the Random Features Lens Hengyu Fu · Tianyu Guo · Yu Bai · Song Mei |
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Poster
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Thu 8:45 |
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression Youngsoo Baek · Samuel Berchuck · Sayan Mukherjee |
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Poster
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Wed 15:00 |
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel Valerii Likhosherstov · Krzysztof M Choromanski · Kumar Avinava Dubey · Frederick Liu · Tamas Sarlos · Adrian Weller |
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Poster
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Wed 8:45 |
Tanimoto Random Features for Scalable Molecular Machine Learning Austin Tripp · Sergio Bacallado · Sukriti Singh · José Miguel Hernández-Lobato |
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Poster
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Thu 15:00 |
Quasi-Monte Carlo Graph Random Features Isaac Reid · Krzysztof M Choromanski · Adrian Weller |
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Workshop
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Random Feature Hopfield Networks generalize retrieval to previously unseen examples Matteo Negri · Clarissa Lauditi · Gabriele Perugini · Carlo Lucibello · Enrico Malatesta |
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Workshop
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Fed3R: Recursive Ridge Regression for Federated Learning with strong pre-trained models Eros Fanì · Raffaello Camoriano · Barbara Caputo · Marco Ciccone |
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Workshop
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Feature Importance Random Search for Hyperparameter Optimization of Data-Consistent Model Inversion Isaiah Onando Mulang' · Stephen Obonyo · Timothy Rumbell · Viatcheslav Gurev · Wanjiru Catherine |