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08/04/2021
Stochastic Subgradient Descent Escapes Active Strict Saddles
In non-smooth stochastic optimization, we establish the non-convergence ...
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06/14/2021
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
Actor-critic methods integrating target networks have exhibited a stupen...
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06/23/2020
Conditional independence testing via weighted partial copulas
This paper introduces the weighted partial copula function for testing c...
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05/18/2020
Convergence of constant step stochastic gradient descent for non-smooth non-convex functions
This paper studies the asymptotic behavior of the constant step Stochast...
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11/18/2019
Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization
Although ADAM is a very popular algorithm for optimizing the weights of ...
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01/23/2019
A Fully Stochastic Primal-Dual Algorithm
A new stochastic primal-dual algorithm for solving a composite optimizat...
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10/04/2018
Convergence of the ADAM algorithm from a Dynamical System Viewpoint
Adam is a popular variant of the stochastic gradient descent for finding...
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04/03/2018
A Constant Step Stochastic Douglas-Rachford Algorithm with Application to Non Separable Regularizations
The Douglas Rachford algorithm is an algorithm that converges to a minim...
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12/19/2017