cur-decomposition

Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation

Implementation of various recommender systems, for course CS F469 Information Retrieval

Implementation and comparison (time, space) of SVD and CUR matrix decomposition algorithms

Implementation of Collaborative Filtering, SVD and CUR decomposition

Fast algorithms for volume-based CUR low-rank approximation and their application to nonnegative matrix approximation and matrix completion problems.

Implementation of recommender systems using collaborative filtering (with and without baseline), SVD, and CUR.

Usage of various techniques such as Collaborative filtering, SVD and CUR-decomposition to predict movie ratings and recommend movies

Implementation of various recommendation algorithms such as Collaborative filtering, SVD and CUR-decomposition to predict user movie ratings

Implementing different approaches for recommendation systems

Dimensionality reduction using CUR decomposition

A project for my exam of "Metodi Probabilistici per Algebra Lineare Numerica" (Probabilistic Methods for Numerical Linear Algebra). The work is based on an the article "arXiv:2104.05877v3" and discusses probabilistic low rank matrix approximation and their application to the replica of the S&P100 index.

An implementation of the CUR based dynamic mode decomposition developed by K. Allen and S. De Pascuale.

Implementation and analysis of CUR matrix decomposition for interpretable dimensionality reduction, based on Mahoney & Drineas’ work.

Collaborative Filtering using SVD, CUR, and PQ Matrix Decomposition

Implementation of KNN algorithm based on a dimension reduction algorithm (CUR decomposition)