Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networksby Jinping Zou, Xiaoge Deng, Tao…
Statistical Modeling of Univariate Multimodal Databy Paraskevi Chasani, Aristidis LikasFirst submitted to arxiv on: 20…
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structureby Jeffrey Sardina, John…
No More Adam: Learning Rate Scaling at Initialization is All You Needby Minghao Xu, Lichuan…
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descentby Xiang Li, Qiaomin XieFirst submitted…
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activationsby Wenhao Hu, Paul…
Infinite-dimensional next-generation reservoir computingby Lyudmila Grigoryeva, Hannah Lim Jing Ting, Juan-Pablo OrtegaFirst submitted to arxiv…
Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter…
Score-Optimal Diffusion Schedulesby Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin SyedFirst submitted to arxiv on:…
A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learningby Jacob Adkins, Michael Bowling, Adam WhiteFirst…