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07/13/2022
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the β-divergence
This article introduces new multiplicative updates for nonnegative matri...
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06/28/2022
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization
Audio inpainting, i.e., the task of restoring missing or occluded audio ...
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04/20/2022
A majorization-minimization algorithm for nonnegative binary matrix factorization
This paper tackles the problem of decomposing binary data using matrix f...
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04/04/2022
Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval
This paper considers the phase retrieval (PR) problem, which aims to rec...
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02/15/2022
Accelerating Non-Negative and Bounded-Variable Linear Regression Algorithms with Safe Screening
Non-negative and bounded-variable linear regression problems arise in a ...
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12/10/2021
On the Relationships between Transform-Learning NMF and Joint-Diagonalization
Non-negative matrix factorization with transform learning (TL-NMF) is a ...
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06/29/2021
Joint Majorization-Minimization for Nonnegative Matrix Factorization with the β-divergence
This article proposes new multiplicative updates for nonnegative matrix ...
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06/08/2021
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
This paper addresses the problem of Unbalanced Optimal Transport (UOT) i...
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04/10/2021
Adversarially-Trained Nonnegative Matrix Factorization
We consider an adversarially-trained version of the nonnegative matrix f...
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03/05/2021
Second-order step-size tuning of SGD for non-convex optimization
In view of a direct and simple improvement of vanilla SGD, this paper pr...
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02/24/2021
Neural content-aware collaborative filtering for cold-start music recommendation
State-of-the-art music recommender systems are based on collaborative fi...
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02/22/2021
Expanding boundaries of Gap Safe screening
Sparse optimization problems are ubiquitous in many fields such as stati...
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11/25/2020
Phase retrieval with Bregman divergences: Application to audio signal recovery
Phase retrieval aims to recover a signal from magnitude or power spectra...
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10/20/2020
Leveraging the structure of musical preference in content-aware music recommendation
State-of-the-art music recommendation systems are based on collaborative...
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10/20/2020
Phase recovery with Bregman divergences for audio source separation
Time-frequency audio source separation is usually achieved by estimating...
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10/01/2020
Phase retrieval with Bregman divergences and application to audio signal recovery
Phase retrieval (PR) aims to recover a signal from the magnitudes of a s...
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07/24/2020
Positive Semidefinite Matrix Factorization: A Connection with Phase Retrieval and Affine Rank Minimization
Positive semidefinite matrix factorization (PSDMF) expresses each entry ...
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07/08/2020
Multi-Resolution Beta-Divergence NMF for Blind Spectral Unmixing
Blind spectral unmixing is the problem of decomposing the spectrum of a ...
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06/23/2020
A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains
Non-negative matrix factorization (NMF) has become a well-established cl...
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06/01/2020
Ordinal Non-negative Matrix Factorization for Recommendation
We introduce a new non-negative matrix factorization (NMF) method for or...
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05/29/2019
An Inertial Newton Algorithm for Deep Learning
We devise a learning algorithm for possibly nonsmooth deep neural networ...
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05/20/2019
Recommendation from Raw Data with Adaptive Compound Poisson Factorization
Count data are often used in recommender systems: they are widespread (s...
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03/15/2019
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments
We propose a novel ranking model that combines the Bradley-Terry-Luce pr...
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12/17/2018
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization
Binary data matrices can represent many types of data such as social net...
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11/06/2018
A Quasi-Newton algorithm on the orthogonal manifold for NMF with transform learning
Nonnegative matrix factorization (NMF) is a popular method for audio spe...
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04/25/2018
Estimation with Low-Rank Time-Frequency Synthesis Models
Many state-of-the-art signal decomposition techniques rely on a low-rank...
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01/05/2018
Closed-form marginal likelihood in Gamma-Poisson factorization
We present novel understandings of the Gamma-Poisson (GaP) model, a prob...
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01/05/2018
Negative Binomial Matrix Factorization for Recommender Systems
We introduce negative binomial matrix factorization (NBMF), a matrix fac...
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09/30/2016
Optimal spectral transportation with application to music transcription
Many spectral unmixing methods rely on the non-negative decomposition of...
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01/22/2014
Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization
This paper introduces a robust mixing model to describe hyperspectral da...
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11/25/2011
Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence
This paper addresses the estimation of the latent dimensionality in nonn...
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06/21/2011