smoothness
A property of functions where small changes in input lead to small changes in output, important for understanding the stability and generalization of learning algorithms.
- A Black-Box Debiasing Framework for Conditional Sampling
- FuncGenFoil: Airfoil Generation and Editing Model in Function Space
- Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
- Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
- Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
- Is Your Diffusion Model Actually Denoising?
- Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
- Learning Cocoercive Conservative Denoisers via Helmholtz Decomposition for Poisson Imaging Inverse Problems
- Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$
- Uncertainty Estimation on Graphs with Structure Informed Stochastic Partial Differential Equations