This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
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Updated
May 25, 2023 - Python
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Predict scores of NBA games using regularized matrix completion
Matrix and Tensor Completion for Background Model Initialization
Lightweight Python library for in-memory matrix completion.
Imputation method for scRNA-seq based on low-rank approximation
Data Science and Matrix Optimization course
Matlab library for gradient descent algorithms: Version 1.0.1
Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction
[ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Factor-Based Imputation for Missing Data
[Tool] Low rank matrix recovery by minimizing matrix norm
A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision application.
[ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
Solve many kinds of least-squares and matrix-recovery problems
A fast and accurate deconvolution algorithm based on regularized matrix completion algorithm (ENIGMA)
Low-rank Matrix Completion using Alternating Minimization
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