Talks

Research talks and slides, organized by topic.

Optimization theory

Entropy-Smooth Convex Optimization Cannot Be Accelerated

Jacob M. Aguirre and Dmitrii M. Ostrovskii

The talk and slides will be uploaded here.

Large-scale optimization

cuHALLaR: A GPU Accelerated Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming

Jacob M. Aguirre, Diego Cifuentes, Vincent Guigues, Renato D.C. Monteiro, Victor Hugo Nascimento, and Arnesh Sujanani

A Low-Rank Augmented Lagrangian Frank-Wolfe-Based Method for SDPs with Unbounded Feasible Regions

Jacob M. Aguirre, Renato D.C. Monteiro, and Arnesh Sujanani

The talk and slides will be uploaded here.

A Sparse Augmented Lagrangian Frank-Wolfe-based method for Large-Scale Linear Programming

Jacob M. Aguirre, Renato D.C. Monteiro, and Anton J. Kleywegt

The talk and slides will be uploaded here.

Statistical design

Robust D-optimal design for generalized linear models: Convex-concave structure and efficient algorithms

Jacob M. Aguirre and Dmitrii M. Ostrovskii

The talk and slides will be uploaded here.

Transportation

An Efficient Method for the Bicriterion Traffic Assignment Problem

Jacob M. Aguirre, Anton J. Kleywegt, and Renato D.C. Monteiro

The talk and slides will be uploaded here.