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Dimension-free deterministic equivalents and scaling laws for random feature regression
Arxiv
0+阅读 · 11月5日
Dimension-free deterministic equivalents for random feature regression
Arxiv
0+阅读 · 11月1日
Scaling Laws in Linear Regression: Compute, Parameters, and Data
Arxiv
0+阅读 · 10月29日
Dyson Equation for Correlated Linearizations and Test Error of Random Features Regression
Arxiv
0+阅读 · 10月27日
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization
Arxiv
0+阅读 · 9月28日
Unbiased Test Error Estimation in the Poisson Means Problem via Coupled Bootstrap Techniques
Arxiv
0+阅读 · 8月18日
Bayes-optimal learning of an extensive-width neural network from quadratically many samples
Arxiv
0+阅读 · 8月7日
Scaling Training Data with Lossy Image Compression
Arxiv
0+阅读 · 7月25日
TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins
Arxiv
0+阅读 · 7月4日
HuntFUZZ: Enhancing Error Handling Testing through Clustering Based Fuzzing
Arxiv
0+阅读 · 7月5日
Scaling laws for learning with real and surrogate data
Arxiv
0+阅读 · 6月28日
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret
Arxiv
0+阅读 · 6月22日
Planning with Adaptive World Models for Autonomous Driving
Arxiv
0+阅读 · 6月15日
Multiple Descents in Unsupervised Learning: The Role of Noise, Domain Shift and Anomalies
Arxiv
0+阅读 · 6月17日
TimewarpVAE: Simultaneous Time-Warping and Representation Learning of Trajectories
Arxiv
0+阅读 · 6月7日
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