4 papers
On generators of -PSD closures of the positive semidefinite cone
Avinash Bhardwaj, Vishnu Narayanan, Abhishek Pathapati
Positive semidefinite (PSD) cone is the cone of positive semidefinite matrices, and is the object of interest in semidefinite programming (SDP). A computational efficient approxima…
An open-source solver for finding global solutions to constrained derivative-free optimization problems
Gannavarapu Chandramouli, Vishnu Narayanan
In this work, we propose a heuristic based open source solver for finding global solution to constrained derivative-free optimization (DFO) problems. Our solver named Global optimi…
An Inexact Frank-Wolfe Algorithm for Composite Convex Optimization Involving a Self-Concordant Function
Nimita Shinde, Vishnu Narayanan, James Saunderson
In this paper, we consider Frank-Wolfe-based algorithms for composite convex optimization problems with objective involving a logarithmically-homogeneous, self-concordant functions…
Switch and Conquer: Efficient Algorithms By Switching Stochastic Gradient Oracles For Decentralized Saddle Point Problems
Chhavi Sharma, Vishnu Narayanan, P. Balamurugan
We consider a class of non-smooth strongly convex-strongly concave saddle point problems in a decentralized setting without a central server. To solve a consensus formulation of pr…