Results 111 to 120 of about 1,615 (176)

Gradient-based sparse principal component analysis with extensions to online learning. [PDF]

Biometrika, 2023
Qiu Y, Lei J, Roeder K.
europepmc   +1 more source

Decentralized Stochastic Subgradient Methods for Nonsmooth Nonconvex Optimization

In this paper, we concentrate on decentralized optimization problems with nonconvex and nonsmooth objective functions, especially on the decentralized training of nonsmooth neural networks.
Zhang, Siyuan, Xiao, Nachuan, Liu, Xin
core  

High-dimensional Subgroup Regression Analysis. [PDF]

Stat Sin
Jiang F, Tian L, Kang J, Li L.
europepmc   +1 more source

Optimal Power Procurement for Green Cellular Wireless Networks Under Uncertainty and Chance Constraints. [PDF]

Entropy (Basel)
Ben Rached N, Subbiah Pillai SM, Tempone R.   +2 more
europepmc   +1 more source

Enhanced Localization and Orientation Estimations in Focal EEG Source Imaging Using SVD-Based Coordinate Transform. [PDF]

Brain Topogr
Lahtinen J, Koulouri A.
europepmc   +1 more source

Generalized Legendre Transforms Have Roots in Information Geometry. [PDF]

Entropy (Basel)
Nielsen F.
europepmc   +1 more source

Asymptotic Properties of Neural Network Sieve Estimators. [PDF]

J Nonparametr Stat, 2023
Shen X, Jiang C, Sakhanenko L, Lu Q.
europepmc   +1 more source

(Online) Subgradient Methods for Structured Prediction

, 2008
Promising approaches to structured learning problems have recently been developed in the maximum margin framework. Unfortunately, algorithms that are computationally and memory efficient enough to solve large scale problems have lagged behind. We propose
Nathan D. Ratliff
core  

Optimizing carbon footprint in long-haul heavy-duty E-Truck transportation. [PDF]

Nat Commun
Su J, Lin Q, Chen M.
europepmc   +1 more source

Subgradient-projection-based stable phase-retrieval algorithm for X-ray ptychography. [PDF]

J Appl Crystallogr
Akaishi N, Yamada K, Yatabe K, Takayama Y.   +3 more
europepmc   +1 more source