184 citations · 354 across the 43 of their papers we have counts for
5 papers · 1 filter
Stochastic Localization Methods for Convex Discrete Optimization via Simulation
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
We develop and analyze a set of new sequential simulation-optimization algorithms for large-scale multi-dimensional discrete optimization via simulation problems with a convexity s…
Gradient-based Algorithms for Convex Discrete Optimization via Simulation
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
We propose new sequential simulation-optimization algorithms for general convex optimization via simulation problems with high-dimensional discrete decision space. The performance…
Global and Local Analyses of Nonlinear Low-Rank Matrix Recovery Problems
Yingjie Bi, Javad Lavaei
The restricted isometry property (RIP) is a well-known condition that guarantees the absence of spurious local minima in low-rank matrix recovery problems with linear measurements.…
When Does MAML Objective Have Benign Landscape?
Igor Molybog, Javad Lavaei
The paper studies the complexity of the optimization problem behind the Model-Agnostic Meta-Learning (MAML) algorithm. The goal of the study is to determine the global convergence…
Penalized Semidefinite Programming for Quadratically-Constrained Quadratic Optimization
Ramtin Madani, Mohsen Kheirandishfard, Javad Lavaei +1
In this paper, we give a new penalized semidefinite programming approach for non-convex quadratically-constrained quadratic programs (QCQPs). We incorporate penalty terms into the…