119 citations · 294 across the 20 of their papers we have counts for
5 papers · 1 filter
Adversarial Attack with Pattern Replacement
Ziang Dong, Liang Mao, Shiliang Sun
We propose a generative model for adversarial attack. The model generates subtle but predictive patterns from the input. To perform an attack, it replaces the patterns of the input…
A Variant of Gaussian Process Dynamical Systems
Jing Zhao, Jingjing Fei, Shiliang Sun
In order to better model high-dimensional sequential data, we propose a collaborative multi-output Gaussian process dynamical system (CGPDS), which is a novel variant of GPDSs. The…
A Survey of Optimization Methods from a Machine Learning Perspective
Shiliang Sun, Zehui Cao, Han Zhu +1
Machine learning develops rapidly, which has made many theoretical breakthroughs and is widely applied in various fields. Optimization, as an important part of machine learning, ha…
Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling
Minghao Gu, Shiliang Sun
The Hamiltonian Monte Carlo (HMC) sampling algorithm exploits Hamiltonian dynamics to construct efficient Markov Chain Monte Carlo (MCMC), which has become increasingly popular in…
Online Anomaly Detection with Sparse Gaussian Processes
Jingjing Fei, Shiliang Sun
Online anomaly detection of time-series data is an important and challenging task in machine learning. Gaussian processes (GPs) are powerful and flexible models for modeling time-s…