Search Results for author:
Found 4 papers, 0 papers with code
Improved Convergence Rates of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations
This paper studies the commonly utilized windowed Anderson acceleration (AA) algorithm for fixed-point methods, $x^{(k+1)}=q(x^{(k)})$.
Cubic-Regularized Newton for Spectral Constrained Matrix Optimization and its Application to Fairness
Matrix functions are utilized to rewrite smooth spectral constrained matrix optimization problems as smooth unconstrained problems over the set of symmetric matrices which are then solved via the cubic-regularized Newton method.
Classifying with Uncertain Data Envelopment Analysis
We overcome the second by adapting the p-median problem to initiate our exploration, and by then employing an iterative neighborhood search to finalize a classification.
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization
We present a new software, HYPPO, that enables the automatic tuning of hyperparameters of various deep learning (DL) models.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
