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Timemachineeditor github
Timemachineeditor github




timemachineeditor github
  1. #Timemachineeditor github full
  2. #Timemachineeditor github software

#Timemachineeditor github software

The free, small software TimeMachineEditor ensures that you have quick and easy access to advanced settings of the Time Machine backup. ICML 2010ĭUOL: A Double Updating Approach for Online Learning. Apps TimeMachineEditor - Schedule Time Machine backups. OTL: A Framework of Online Transfer Learning. KDD 2013įast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. Hoi, Jialei Wang, Bin LiĬost-sensitive online active learning with application to malicious URL detection. Stochastic Optimization with Importance Sampling for Regularized Loss Minimization. Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization.

timemachineeditor github

Wenpeng Zhang, Peilin Zhao, Wenwu Zhu, Steven C. Projection-free Distributed Online Learning in Networks. Zebang Shen, Aryan Mokhtari, Tengfei Zhou, Peilin Zhao, Hui Qian Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication. Ho Chung Leon Law, Peilin Zhao, Leung Sing Chan, Junzhou Huang, Dino Sejdinovic Hyperparameter Learning via Distributional Transfer. Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang ICML 2021Īdversarial Sparse Transformer for Time Series Forecasting. Meta-learning Hyperparameter Performance Prediction with Neural Processes.

#Timemachineeditor github full

Online Learning, Recommendation System, Automatic Machine Learning, Deep Graph Learning, and Reinforcement Learning Selected Publications ( Full List) Nanyang Technological University, Singapore.Postdoc in Department of Statistics, 2013 - 2014.Research Scientist in Data Analytics Department, 2014 - 2016.Senior Expert in AI Department, 2016 - 2017.degree in computer science from Nanyang Technological University.

timemachineeditor github

He received a bachelor’s degree in mathematics from Zhejiang University, and a Ph.D. He has been invited to serve as area chair or associate editor at leading international conferences and journals such as ICML, TPAMI, etc. His research interests include: online learning, recommendation systems, automatic machine learning, deep graph learning, and reinforcement learning, among others. Previously, he worked at Rutgers University, Institute for Infocomm Research, and Ant Group. Peilin Zhao is currently a principal researcher at Tencent AI Lab in China. Internship: We are looking for interns, who are interested in AI for Drug, Energy, and Agriculture, such as Deep Graph Learning, Time Series Prediction, Reinforcement Learning, etc. My Google Scholar | WikiCFP | t-test | 国仁全球大学堂






Timemachineeditor github