filmov
tv
Analyzing Optimization and Generalization in Deep Learning via Dynamics of Gradient Descent
Показать описание
Nadav Cohen (Tel-Aviv University)
Learning and Testing in High Dimensions
Simons Institute
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Рекомендации по теме
0:44:20
Analyzing Optimization and Generalization in Deep Learning via Dynamics of Gradient Descent
1:05:07
Nadav Cohen - Analyzing Optimization and Generalization in DL via Dynamics of Gradient Descent
0:46:27
Analyzing Optimization and Generalization in Deep Learning via Trajectories of Gradient Descent
0:19:44
Analyzing Optimization and Generalization in Deep Learning via Trajectories of Gradient Descent
0:12:45
Fine Grained analysis of optimization and generalization in two-layer neural networks
0:49:19
Geometry, Optimization and Generalization in Multilayer Networks
0:33:18
Toward a Causal Analysis of Generalization in Deep Learning - Behnam Neyshabur
0:38:54
Understanding Generalization in Adaptive Data Analysis
0:53:12
Interplay between Optimization and Generalization in Deep Neural Networks - Keerthi Selvaraj
0:53:03
Tom Goldstein: 'An empirical look at generalization in neural nets'
0:52:42
A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt2
0:02:56
Generalization vs Optimization in machine learning
1:03:32
A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt1
1:00:27
Two-Layer Neural Networks for PDEs: Optimization and Generalization Theory, HaizhaoYang@Purdue
0:45:39
On the Foundations of Deep Learning: SGD, Overparametrization, and Generalization
0:51:32
CPAIOR 2022: Learning, Optimization, and Generalization in the Predict-then-Optimize Setting
1:03:27
Algorithmic stability for generalization guarantees in machine learning
0:11:13
Lecture 'Path Profiling (Part 3, Generalization)' of 'Program Analysis'
0:32:35
Is Optimization the Right Language to Understand Deep Learning? - Sanjeev Arora
0:15:52
Optimization for Deep Learning (Momentum, RMSprop, AdaGrad, Adam)
0:26:02
Karolina Dziugaite on Nonvacuous Generalization Bounds for Deep Neural Networks via PAC-Bayes
1:17:20
Robust Optimization and Generalization
1:16:45
(Old) Lecture 7 | Optimization and Generalization
0:14:21
ICML 2022 long talk: Robustness Implies Generalization via Data-Dependent Generalization Bounds
join shbcf.ru