Results 111 to 120 of about 1,424,164 (189)

Stochastic Gradient Descent with Strategic Querying

2025 IEEE 64th Conference on Decision and Control (CDC)
18 pages, 2 figures. Accepted to IEEE Conference on Decision and Control (CDC) 2025.
Nanfei Jiang, Hoi-To Wai, Mahnoosh Alizadeh   +2 more
openaire   +3 more sources

A Scalable Bayesian Sampling Method Based on Stochastic Gradient Descent Isotropization. [PDF]

Entropy (Basel), 2021
Franzese G, Milios D, Filippone M, Michiardi P.   +3 more
europepmc   +1 more source

Stability of Random Dynamical Systems in Noisy Oscillators with Shear and in Stochastic Gradient Descent

STABILITY OF RANDOM DYNAMICAL SYSTEMS IN NOISY OSCILLATORS WITH SHEAR AND IN STOCHASTIC GRADIENT DESCENT Stability of Random Dynamical Systems in Noisy Oscillators with Shear and in Stochastic Gradient Descent / Chemnitz, Dennis (Rights reserved) (-
Chemnitz, Dennis
core  

A Novel Framework for Abnormal Risk Classification over Fetal Nuchal Translucency Using Adaptive Stochastic Gradient Descent Algorithm. [PDF]

Diagnostics (Basel), 2022
Verma D, Agrawal S, Iwendi C, Sharma B, Bhatia S, Basheer S.   +5 more
europepmc   +1 more source

An Improvised Sentiment Analysis Model on Twitter Data Using Stochastic Gradient Descent (SGD) Optimization Algorithm in Stochastic Gate Neural Network (SGNN). [PDF]

SN Comput Sci, 2023
Vidyashree KP, Rajendra AB.
europepmc   +1 more source

Using the Stochastic Gradient Descent Optimization Algorithm on Estimating of Reactivity Ratios. [PDF]

Materials (Basel), 2021
Fazakas-Anca IS, Modrea A, Vlase S.
europepmc   +1 more source

Non-Iterative Phase-Only Hologram Generation via Stochastic Gradient Descent Optimization

Photonics
In this work, we explored, for the first time, to the best of our knowledge, the potential of stochastic gradient descent (SGD) to optimize random phase functions for application in non-iterative phase-only hologram generation.
Alejandro Velez-Zea, John Fredy Barrera-Ramírez   +1 more
doaj   +1 more source

The inverse variance-flatness relation in stochastic gradient descent is critical for finding flat minima. [PDF]

Proc Natl Acad Sci U S A, 2021
Feng Y, Tu Y.
europepmc   +1 more source

A Novel Sophia-SPGD (Stochastic Parallel Gradient Descent) Optimization Method for Wavefront Correction in WFS-Less AO (Wavefront Sensorless Adaptive Optics) Systems

Photonics
In wavefront sensorless adaptive optics (WFS-less AO) systems, stochastic parallel gradient descent (SPGD) is the primary optimization method for correcting wavefront distortions. However, as the intensity of atmospheric turbulence interference increases,
Peng Chen, Wenjie Yang, Yongqi Ge, Zhiguang Zhang, Xianshuo Li, Zhengqing Qi, Huizhen Yang   +6 more
doaj   +1 more source

Sentiment classification for employees reviews using regression vector- stochastic gradient descent classifier (RV-SGDC). [PDF]

PeerJ Comput Sci, 2021
Gaye B, Zhang D, Wulamu A.
europepmc   +1 more source