Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averagingby Hilal AlQuabeh, William…
A Dynamical Model of Neural Scaling Lawsby Blake Bordelon, Alexander Atanasov, Cengiz PehlevanFirst submitted to…
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descentby Luca Della…
An attempt to generate new bridge types from latent space of energy-based modelby Hongjun ZhangFirst…
Convergence analysis of t-SNE as a gradient flow for point cloud on a manifoldby Seonghyeon…
Privacy-preserving data release leveraging optimal transport and particle gradient descentby Konstantin Donhauser, Javier Abad, Neha…
Step-size Optimization for Continual Learningby Thomas Degris, Khurram Javed, Arsalan Sharifnassab, Yuxin Liu, Richard SuttonFirst…
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalizationby Yinbin Han, Meisam Razaviyayn, Renyuan…
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System…
The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimizationby Matan…