Optimization for machine learning

Official code for "Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion", NeurIPS 2022.

low rank matrix completion and clustering on the Netflix Dataset

Interactive dashboard for examining active learning experiments and matrix completion models

A project performing gradient descent and stochastic average gradient descent for matrix completion. The algorithms are tested on some synthetic data before being used on downscaled real X-ray absorption data from a spectromicroscopy experiment. The algorithms' behaviours and outputs are examined in the report.

Scaled matrix completion and cell deconvolution with NanoString data, Yichen Zhang, 2019

Imputation method for scRNA-seq based on low-rank approximation

Implementation of tensor network algorithms for completion of sparsely sampled quantum states

Low-rank Singular Value Decomposition (SVD) and Soft Impute Algorithm for matrix completion

Matrix class + Gaussian Elimination, Jacobi Eigenvalue Algorithm, Linear Regression

Matrix Completion applied to the Netflix problem and image inpainting / recovery

Presentation for the exam of Optimal Control within the PhD program in Information Engineering of the Department of Information Engineering @ University of Pisa, A.A. 2021/2022

An official implementation of "Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization"

Using dataset from https://grouplens.org/datasets/movielens/ to build a recommendation system by KNN

Python operations research applications including sudoku solver, tictactoe gaming AI

Code for ICLR2023 paper "Graph Signal Sampling for Inductive 1-bit Matrix Completion: a Closed-Form Solution"

Applications of matrix factorization using GLRM

Matrix Completion algorithms are used for building recommendation systems in Netflix, Amazon, Spotify etc...