sparse optimization - Robuta Search

https://openreview.net/forum?id=14VgNhk0KQ&referrer=%5Bthe%20profile%20of%20Martin%20Holler%5D(%2Fprofile%3Fid%3D~Martin_Holler1) A sparse optimization approach to infinite infimal convolution regularization | OpenReview In this paper we introduce the class of infinite infimal convolution functionals and apply these functionals to the regularization of ill-posed inverse... sparse optimization infimal convolution approach infinite regularization https://jmlr.org/papers/v26/24-0010.html Simplex Constrained Sparse Optimization via Tail Screening sparse optimization simplex constrained via tail https://arxiv.org/abs/2406.07831 [2406.07831] ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language... Abstract page for arXiv paper 2406.07831: ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models https://openreview.net/forum?id=OF0YsxoRai Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes | OpenReview Bayesian optimization is an effective technique for black-box optimization, but its applicability is typically limited to low-dimensional and small-budget... bayesian optimization gaussian processes scalable via sparse https://openreview.net/forum?id=HkG5JF6Do7 FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks | OpenReview We extend a state-of-the-art technique to directly incorporate FLOPs as part of the optimization objective, and we show that, given a desired FLOPs... as a https://openreview.net/forum?id=KBhSyBBeeO An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse... Optimization problems with group sparse regularization are ubiquitous in various popular downstream applications, such as feature selection and compression for... https://arxiv.org/html/2503.12822v1 SPARTA: An Optimization Framework for Differentially Private Sparse Fine-Tuning sparta optimization framework private sparse https://jmlr.org/papers/v22/20-287.html Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization stochastic proximal methods non smooth https://deepai.org/publication/large-scale-optimization-algorithms-for-sparse-conditional-gaussian-graphical-models Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models | DeepAI Sep 15, 2015 - 09/15/15 - This paper addresses the problem of scalable optimization for L1-regularized conditional Gaussian graphical models. Conditional Ga... large scale optimization algorithms graphical models https://arxiv.org/abs/1904.01645 [1904.01645] Sparse Bounded Degree Sum of Squares Optimization for Certifiably Globally Optimal... Abstract page for arXiv paper 1904.01645: Sparse Bounded Degree Sum of Squares Optimization for Certifiably Globally Optimal Rotation Averaging sum of squares optimization https://jmlr.org/papers/v21/18-881.html Conic Optimization for Quadratic Regression Under Sparse Noise conic optimization quadratic regression sparse noise https://jmlr.org/papers/v22/20-661.html Sparse Convex Optimization via Adaptively Regularized Hard Thresholding convex optimization sparse via hard thresholding https://www.mdpi.com/1424-8220/21/21/7153 Suppression of Continuous Wave Interference in Loran-C Signal Based on Sparse Optimization Using... Loran-C is the most essential backup and supplementary system for the global navigation satellite system (GNSS). Continuous wave interference (CWI) is one of... https://www.scirp.org/journal/paperinformation?paperid=33729 Retail Price Optimization from Sparse Demand Data It will be shown how the retailer can use economic theory to exploit the sparse information available to him to set the price of each item he is selling close... retail price optimization sparse demand data