Co-occurring keywords · papers mentioning both
Papers
Global Optimization with a Power-Transformed Objective and Gaussian Smoothing
ICML 2025
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
JMLR 2024
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations
WACV 2024
Learning Physics-Informed Neural Networks without Stacked Back-propagation
AISTATS 2023
Asymptotics of smoothed Wasserstein distances in the small noise regime
NeurIPS 2022
Generalizing Gaussian Smoothing for Random Search
ICML 2022
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
ICML 2022
Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
ICML 2021
Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency
AISTATS 2020
Higher-Order Certification For Randomized Smoothing
NeurIPS 2020