3 papers
cs.LG2024
OPSurv: Orthogonal Polynomials Quadrature Algorithm for Survival Analysis
Lilian W. Bialokozowicz, Hoang M. Le, Tristan Sylvain +3
This paper introduces the Orthogonal Polynomials Quadrature Algorithm for Survival Analysis (OPSurv), a new method providing time-continuous functional outputs for both single and…
cs.LG2023
CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural Networks
Vineel Nagisetty, Laura Graves, Guanting Pan +2
In this paper, we propose a new Deep Neural Network (DNN) testing algorithm called the Constrained Gradient Descent (CGD) method, and an implementation we call CGDTest aimed at exp…
cs.LG2022
A Solver + Gradient Descent Training Algorithm for Deep Neural Networks
Dhananjay Ashok, Vineel Nagisetty, Christopher Srinivasa +1
We present a novel hybrid algorithm for training Deep Neural Networks that combines the state-of-the-art Gradient Descent (GD) method with a Mixed Integer Linear Programming (MILP)…