Block Majorization Minimization with Extrapolation and Application to $\beta$-NMF

التفاصيل البيبلوغرافية
العنوان: Block Majorization Minimization with Extrapolation and Application to $\beta$-NMF
المؤلفون: Hien, Le Thi Khanh, Leplat, Valentin, Gillis, Nicolas
سنة النشر: 2024
المجموعة: Computer Science
Mathematics
مصطلحات موضوعية: Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing, Mathematics - Numerical Analysis, Mathematics - Optimization and Control
الوصف: We propose a Block Majorization Minimization method with Extrapolation (BMMe) for solving a class of multi-convex optimization problems. The extrapolation parameters of BMMe are updated using a novel adaptive update rule. By showing that block majorization minimization can be reformulated as a block mirror descent method, with the Bregman divergence adaptively updated at each iteration, we establish subsequential convergence for BMMe. We use this method to design efficient algorithms to tackle nonnegative matrix factorization problems with the $\beta$-divergences ($\beta$-NMF) for $\beta\in [1,2]$. These algorithms, which are multiplicative updates with extrapolation, benefit from our novel results that offer convergence guarantees. We also empirically illustrate the significant acceleration of BMMe for $\beta$-NMF through extensive experiments.
Comment: 23 pages, code available from https://github.com/vleplat/BMMe
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2401.06646
رقم الأكسشن: edsarx.2401.06646
قاعدة البيانات: arXiv