Видео ютуба по тегу Subgradient

Sıfırdan Yapay Zeka Dersleri 27 - Konveks Optimizasyonu Subgradient
Sıfırdan Yapay Zeka Dersleri 27 - Konveks Optimizasyonu Subgradient
CS769 2025 - Lec 19 Proximal, Generalized Gradient Descent and its Acceleration and Projection in GD
CS769 2025 - Lec 19 Proximal, Generalized Gradient Descent and its Acceleration and Projection in GD
Subgradients and Subdifferential
Subgradients and Subdifferential
CS769 2025 Lec 16: Subgradient, Accelerated and Stochastic Gradient Descent(Optimization in ML)
CS769 2025 Lec 16: Subgradient, Accelerated and Stochastic Gradient Descent(Optimization in ML)
CS769 2025 Lecture 9 Subgradient calculus concluded, Max & Composition, Lasso (Optimization in ML)
CS769 2025 Lecture 9 Subgradient calculus concluded, Max & Composition, Lasso (Optimization in ML)
Subgradients and subdifferentials in optimization
Subgradients and subdifferentials in optimization
CS 15-759 Lecture 4: Smooth Gradient Descent and Subgradient Descent
CS 15-759 Lecture 4: Smooth Gradient Descent and Subgradient Descent
CS769 2025 Lecture 8 Second order Convexity, Subgradient calculus, Examples (Optimization in ML)
CS769 2025 Lecture 8 Second order Convexity, Subgradient calculus, Examples (Optimization in ML)
ч2.Градиентный спуск и Субградиент. Скорость обучения.Гиперпараметры.Линейная регрессия на python
ч2.Градиентный спуск и Субградиент. Скорость обучения.Гиперпараметры.Линейная регрессия на python
Low Rank Matrix Recovery With Scaled Subgradient Methods Fast and Robust Convergence Without the Con
Low Rank Matrix Recovery With Scaled Subgradient Methods Fast and Robust Convergence Without the Con
Viktor Stovba - Subgradient Method with Polyak's Step in Transformed Space of Variables
Viktor Stovba - Subgradient Method with Polyak's Step in Transformed Space of Variables
Mykola Korablov - Intro to Nonsmooth Optimization. Subgradient descent methods
Mykola Korablov - Intro to Nonsmooth Optimization. Subgradient descent methods
rps20 21
rps20 21
[CS292F 2020 Spring] Convex Optimization: Lecture 5 Subgradient
[CS292F 2020 Spring] Convex Optimization: Lecture 5 Subgradient
[CS292F 2020 Spring] Convex Optimization: Lecture 6 Subgradient Method and Proximal Gradient Descent
[CS292F 2020 Spring] Convex Optimization: Lecture 6 Subgradient Method and Proximal Gradient Descent
Edouard Pauwels - Inexact subgradient algorithm with errors for semialgebraic functions
Edouard Pauwels - Inexact subgradient algorithm with errors for semialgebraic functions
CS769 2024 Lec 14 Accelerated GD, Subgradient Descent, Stochastic Gradient Descent & Convergences
CS769 2024 Lec 14 Accelerated GD, Subgradient Descent, Stochastic Gradient Descent & Convergences
CS769 2024 Lec 9 Subgradient and subdiff calculus explained & illustrated (Optimization in ML)
CS769 2024 Lec 9 Subgradient and subdiff calculus explained & illustrated (Optimization in ML)
Incremental Gradient, Subgradient, and Proximal Methods for Convex Optimization
Incremental Gradient, Subgradient, and Proximal Methods for Convex Optimization
Quantized and Distributed Subgradient Optimization Method With Malicious Attack
Quantized and Distributed Subgradient Optimization Method With Malicious Attack
DSCC 435 OPT for ML - 6 Subgradient Method
DSCC 435 OPT for ML - 6 Subgradient Method
Minh Dao: Proximal subgradient algorithms for nonconvex nonsmooth fractional programming
Minh Dao: Proximal subgradient algorithms for nonconvex nonsmooth fractional programming
VA & OPT: Subgradient Projection Algorithm with Computational Errors
VA & OPT: Subgradient Projection Algorithm with Computational Errors
44. Subgradient of f at x bar - Most Important Theorem - Complete Concept - Convex Function
44. Subgradient of f at x bar - Most Important Theorem - Complete Concept - Convex Function
42. Differentiable Convex Function has Only One Subgradient - Most Imp. Theorem - Complete Concept
42. Differentiable Convex Function has Only One Subgradient - Most Imp. Theorem - Complete Concept