Search Results for "On the Global Convergence of Gradient Descent for (...) - Bach - Workshop 3 - CEB T1 2019"

On the Global Convergence of Gradient Descent for (...) - Bach - Workshop 3 - CEB T1 2019

Towards demystifying over-parameterization in deep (...) - Soltanolkotabi - Workshop 3 - CEB T1 2019

Part 3. Convergence of gradient descent and Nesterov's accelerated gradient using ODE

Sebastian Kassing - Convergence of Stochastic Gradient Descent for analytic target functions

On the Global Convergence and Approximation Benefits of Policy Gradient Methods

Francis Bach " Beyond stochastic gradient descent for large-scale machine learning"

Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss

Exponential convergence of testing error for stochastic gradient methods

[W13-5] SAG and SAGA

Francis Bach: Large scale Machine Learning and Convex Optimization (Lecture 4)

NeurIPS 2018 -- GradiVeQ

Francis Bach (INRIA): Distributed Machine Learning over Networks