Summary of High-dimensional Tail Index Regression: with An Application to Text Analyses Of Viral Posts in Social Media, by Yuya Sasaki et al.
High-Dimensional Tail Index Regression: with An Application to Text Analyses of Viral Posts in Social…
Summary of Stable Training Of Normalizing Flows For High-dimensional Variational Inference, by Daniel Andrade
Stable Training of Normalizing Flows for High-dimensional Variational Inferenceby Daniel AndradeFirst submitted to arxiv on:…
Summary of Large Stepsize Gradient Descent For Logistic Loss: Non-monotonicity Of the Loss Improves Optimization Efficiency, by Jingfeng Wu et al.
Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiencyby Jingfeng…
Summary of Iteration and Stochastic First-order Oracle Complexities Of Stochastic Gradient Descent Using Constant and Decaying Learning Rates, by Kento Imaizumi et al.
Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning…
Summary of Revisiting Differentially Private Hyper-parameter Tuning, by Zihang Xiang et al.
Revisiting Differentially Private Hyper-parameter Tuningby Zihang Xiang, Tianhao Wang, Chenglong Wang, Di WangFirst submitted to…
Summary of Training Artificial Neural Networks by Coordinate Search Algorithm, By Ehsan Rokhsatyazdi et al.
Training Artificial Neural Networks by Coordinate Search Algorithmby Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab,…
Summary of Sdes For Minimax Optimization, by Enea Monzio Compagnoni et al.
SDEs for Minimax Optimizationby Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting, Frank Norbert Proske, Aurelien…
Summary of Stochastic Approximation with Delayed Updates: Finite-time Rates Under Markovian Sampling, by Arman Adibi et al.
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Samplingby Arman Adibi, Nicolo Dal Fabbro,…
Summary of Stochastic Hessian Fittings with Lie Groups, by Xi-lin Li
Stochastic Hessian Fittings with Lie Groupsby Xi-Lin LiFirst submitted to arxiv on: 19 Feb 2024CategoriesMain:…
Summary of Diagonalisation Sgd: Fast & Convergent Sgd For Non-differentiable Models Via Reparameterisation and Smoothing, by Dominik Wagner et al.
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothingby Dominik Wagner,…