research
∙
09/17/2023
Private Matrix Factorization with Public Item Features
We consider the problem of training private recommendation models with a...
share
research
∙
11/24/2022
Differentially Private Image Classification from Features
Leveraging transfer learning has recently been shown to be an effective ...
research
∙
02/19/2022
Reciprocity in Machine Learning
Machine learning is pervasive. It powers recommender systems such as Spo...
research
∙
12/03/2021
ALX: Large Scale Matrix Factorization on TPUs
We present ALX, an open-source library for distributed matrix factorizat...
research
∙
10/26/2021
iALS++: Speeding up Matrix Factorization with Subspace Optimization
iALS is a popular algorithm for learning matrix factorization models fro...
research
∙
10/26/2021
Revisiting the Performance of iALS on Item Recommendation Benchmarks
Matrix factorization learned by implicit alternating least squares (iALS...
research
∙
07/14/2020
Global Convergence of Second-order Dynamics in Two-layer Neural Networks
Recent results have shown that for two-layer fully connected neural netw...
research
∙
05/19/2020
Neural Collaborative Filtering vs. Matrix Factorization Revisited
Embedding based models have been the state of the art in collaborative f...
research
∙
02/11/2020
Superbloom: Bloom filter meets Transformer
We extend the idea of word pieces in natural language models to machine ...
research
∙
04/08/2019
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions
Recommender system research suffers from a disconnect between the size o...
research
∙
01/23/2019
Scalable Realistic Recommendation Datasets through Fractal Expansions
Recommender System research suffers currently from a disconnect between ...
research
∙
07/18/2018
Efficient Training on Very Large Corpora via Gramian Estimation
We study the problem of learning similarity functions over very large co...
research
∙
07/19/2017
