A Stochastic Newton Algorithm for Distributed Convex Optimization
A Stochastic Newton Algorithm for Distributed Convex Optimization
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

A Stochastic Newton Algorithm for Distributed Convex Optimization

A Stochastic Newton Algorithm for Distributed Convex Optimization

|
FLOW Seminar #55: Brian Bullins (TTIC) A Stochastic Newton Algorithm for Distributed Convex Opt.

FLOW Seminar #55: Brian Bullins (TTIC) A Stochastic Newton Algorithm for Distributed Convex Opt.

|
A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks

A Distributed Cubic-Regularized Newton Method for Smooth Convex Optimization over Networks

|
A Hyperfast Second-order Method for Distributed Convex Optimization

A Hyperfast Second-order Method for Distributed Convex Optimization

|
Distributed Convex Optimization for GLMs | SciPy 2017 | Chris White & Hussain Sultan

Distributed Convex Optimization for GLMs | SciPy 2017 | Chris White & Hussain Sultan

|
Aryan Mokhtari presents "Stochastic Quasi-Newton Methods"

Aryan Mokhtari presents "Stochastic Quasi-Newton Methods"

|
Sub sampled Cubic Regularization for Non convex Optimization

Sub sampled Cubic Regularization for Non convex Optimization

|
A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization

A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization

|
Stochastic Quasi-Newton Methods for Online Learning

Stochastic Quasi-Newton Methods for Online Learning

|
Mark Eisen presents "Quasi-newton Methods for Distributed Optimization"

Mark Eisen presents "Quasi-newton Methods for Distributed Optimization"

|
Mini Courses - SVAN 2016 - MC3 - Class 08 - Stochastic Convex O. M. In Machine Learning

Mini Courses - SVAN 2016 - MC3 - Class 08 - Stochastic Convex O. M. In Machine Learning

|
Mini Courses - SVAN 2016 - MC3 - Class 07 - Stochastic Convex O. M. In Machine Learning

Mini Courses - SVAN 2016 - MC3 - Class 07 - Stochastic Convex O. M. In Machine Learning

|
A Primal-Dual Algorithm with Line Search for Convex Concave Saddle Point Problems

A Primal-Dual Algorithm with Line Search for Convex Concave Saddle Point Problems

|
Distributed Randomized Algorithms for Convex and Non-Convex Optimization

Distributed Randomized Algorithms for Convex and Non-Convex Optimization

|
Complexity analysis framework of adaptive optimization methods via martingales

Complexity analysis framework of adaptive optimization methods via martingales

|
OWOS: Konstantin Mishchenko - "Regularized Newton Method with Global O(1/k^2) Convergence"

OWOS: Konstantin Mishchenko - "Regularized Newton Method with Global O(1/k^2) Convergence"

|
09 Feb 2017; WISO; "On Gradient-Based Optimization: Accelerated, Distributed, Asynchronous and S...

09 Feb 2017; WISO; "On Gradient-Based Optimization: Accelerated, Distributed, Asynchronous and S...

|
Lecture 3 part 1: Centralized Convex ML (part 2: stochastic algorithms)

Lecture 3 part 1: Centralized Convex ML (part 2: stochastic algorithms)

|
First Order Methods for Distributed Network Optimization

First Order Methods for Distributed Network Optimization

|
Mark Schmidt - Faster Algorithms for Deep Learning?

Mark Schmidt - Faster Algorithms for Deep Learning?

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa

Favorilere Ekle