research
∙
10/06/2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation
Stochastic gradient descent (SGD) is a widely adopted iterative method f...
share
research
∙
02/17/2020
Adaptive Experience Selection for Policy Gradient
Policy gradient reinforcement learning (RL) algorithms have achieved imp...
research
∙
10/25/2019
Online Gaussian LDA for Unsupervised Pattern Mining from Utility Usage Data
Non-intrusive load monitoring (NILM) aims at separating a whole-home ene...
research
∙
01/12/2018
