8 citations · 8 across the 3 of their papers we have counts for
4 papers · 1 filter
Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn +1
We present a new, stochastic variant of the projective splitting (PS) family of algorithms for monotone inclusion problems. It can solve min-max and noncooperative game formulation…
A persistent adjoint method with dynamic time-scaling and an application to mass action kinetics
Thomas Flynn
In this article we consider an optimization problem where the objective function is evaluated at the fixed-point of a contraction mapping parameterized by a control variable, and o…
Bounding the expected run-time of nonconvex optimization with early stopping
Thomas Flynn, Kwang Min Yu, Abid Malik +2
This work examines the convergence of stochastic gradient-based optimization algorithms that use early stopping based on a validation function. The form of early stopping we consid…
A Simultaneous Perturbation Weak Derivative Estimator for Stochastic Neural Networks
Thomas Flynn, Felisa Vázquez-Abad
In this paper we study gradient estimation for a network of nonlinear stochastic units known as the Little model. Many machine learning systems can be described as networks of homo…