lipschitz continuity
A mathematical property ensuring that a function's output changes at a controlled rate with respect to its input, critical for ensuring stability in neural networks.
- A Computationally Viable Numerical Gradient-based Technique for Optimal Covering Problems
- Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
- Approximation and Generalization Abilities of Score-based Neural Network Generative Models for Sub-Gaussian Distributions
- Delving into Cascaded Instability: A Lipschitz Continuity View on Image Restoration and Object Detection Synergy
- Efficiently Escaping Saddle Points under Generalized Smoothness via Self-Bounding Regularity
- ModHiFi: Identifying High Fidelity predictive components for Model Modification
- Scalable Neural Incentive Design with Parameterized Mean-Field Approximation
- Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$
- Stochastic Momentum Methods for Non-smooth Non-Convex Finite-Sum Coupled Compositional Optimization