Nicolas Gillis
5 papers · 2012–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2)
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Research topics
Machine Learning
(4)
Mathematics & Optimization
(4)
Optimization
(4)
Core Methods
(3)
Optimization & Theory · Machine Learning
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
non-negative matrix factorization
(2)
nonsmooth optimization
(2)
inertial method
(2)
block coordinate descent
(2)
non-convex optimization
(2)
sparse representation
(1)
linear programming
(1)
matrix completion
(1)
noise tolerance
(1)
majorization minimization
(1)
expressive power
(1)
mixture model
(1)
probabilistic circuit
(1)
separability assumption
(1)
separable matrix factorization
(1)
robust optimization
(1)
subtractive mixture
(1)
feature extraction
(1)
matrix factorization
(1)
sparse coding
(1)
Papers
Subtractive Mixture Models via Squaring: Representation and Learning
ICLR 2024
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization
JMLR 2023
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization
ICML 2020
Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization
JMLR 2014
Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing
JMLR 2012