Online Deep Learning from Doubly-Streaming Data

1 code implementation • 25 Apr 2022 • Heng Lian, John Scovil Atwood, BoJian Hou, Jian Wu, Yi He

This paper investigates a new online learning problem with doubly-streaming data, where the data streams are described by feature spaces that constantly evolve, with new features emerging and old features fading away.

Debiased distributed learning for sparse partial linear models in high dimensions

no code implementations • 18 Aug 2017 • Shaogao Lv, Heng Lian

Although various distributed machine learning schemes have been proposed recently for pure linear models and fully nonparametric models, little attention has been paid on distributed optimization for semi-paramemetric models with multiple-level structures (e. g. sparsity, linearity and nonlinearity).

Distributed Optimization Vocal Bursts Intensity Prediction