1 citations · 2 across the 4 of their papers we have counts for
4 papers
A Parametric Approach for Solving Convex Quadratic Optimization with Indicators Over Trees
Aaresh Bhathena, Salar Fattahi, Andrés Gómez +1
This paper investigates convex quadratic optimization problems involving indicator variables, each associated with a continuous variable, particularly focusing on scenarios whe…
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion
Jianhao Ma, Salar Fattahi
We study the problem of symmetric matrix completion, where the goal is to reconstruct a positive semidefinite matrix of rank-, paramete…
Personalized Dictionary Learning for Heterogeneous Datasets
Geyu Liang, Naichen Shi, Raed Al Kontar +1
We introduce a relevant yet challenging problem named Personalized Dictionary Learning (PerDL), where the goal is to learn sparse linear representations from heterogeneous datasets…
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution
Jianhao Ma, Salar Fattahi
This work characterizes the effect of depth on the optimization landscape of linear regression, showing that, despite their nonconvexity, deeper models have more desirable optimiza…