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Shuffling the Stochastic Mirror Descent via Dual Lipschitz Continuity and Kernel Conditioning
Arxiv
0+阅读 · 3月17日
Lipschitz-Based Robustness Certification Under Floating-Point Execution
Arxiv
0+阅读 · 3月17日
Failure of uniform laws of large numbers for subdifferentials and beyond
Failure of uniform laws of large numbers for subdifferentials and beyond
Arxiv
0+阅读 · 3月16日
Input Convex Lipschitz Recurrent Neural Networks for Robust and Efficient Process Modeling and Optimization
Arxiv
0+阅读 · 3月15日
A New Kernel Regularity Condition for Distributed Mirror Descent: Broader Coverage and Simpler Analysis
Arxiv
0+阅读 · 3月13日
Distribution estimation via Flow Matching with Lipschitz guarantees
Arxiv
0+阅读 · 3月12日
End Cover for Initial Value Problem: Complete Validated Algorithms with Complexity Analysis
Arxiv
0+阅读 · 2月19日
Towards Sharp Minimax Risk Bounds for Operator Learning
Arxiv
0+阅读 · 3月5日
Compact Circulant Layers with Spectral Priors
Arxiv
0+阅读 · 2月25日
The Hidden Power of Normalization Layers in Neural Networks: Exponential Capacity Control
Arxiv
0+阅读 · 2月22日
Metric Entropy-Free Sample Complexity Bounds for Sample Average Approximation in Convex Stochastic Programming
Arxiv
0+阅读 · 3月2日
Asymptotic Smoothing of the Lipschitz Loss Landscape in Overparameterized One-Hidden-Layer ReLU Networks
Arxiv
0+阅读 · 2月19日
ExLipBaB: Exact Lipschitz Constant Computation for Piecewise Linear Neural Networks
Arxiv
0+阅读 · 2月17日
Approximation Theory for Lipschitz Continuous Transformers
Arxiv
0+阅读 · 2月17日
Step by Step: Adaptive Gradient Descent for Training L-Lipschitz Neural Networks
Arxiv
0+阅读 · 2月6日
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