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RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering

RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering

Qingsong Wen
Jing Gao
Xiaomin Song
Liang Sun
Jian Tan
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Papers citing "RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering"

6 / 6 papers shown
Title
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi
Shiyu Wang
Yuqi Nie
Dianqi Li
Zhou Ye
Qingsong Wen
Ming Jin
AI4TS
93
46
0
24 Sep 2024
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Towards Dynamic Trend Filtering through Trend Point Detection with Reinforcement Learning
Jihyeon Seong
Sekwang Oh
Jaesik Choi
AI4TS
86
0
0
06 Jun 2024
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series
Qingsong Wen
Jing Gao
Xiaomin Song
Liang Sun
Huan Xu
Shenghuo Zhu
AI4TS
46
210
0
05 Dec 2018
Fast and Flexible ADMM Algorithms for Trend Filtering
Fast and Flexible ADMM Algorithms for Trend Filtering
Aaditya Ramdas
Robert Tibshirani
74
122
0
09 Jun 2014
Adaptive piecewise polynomial estimation via trend filtering
Adaptive piecewise polynomial estimation via trend filtering
Robert Tibshirani
71
396
0
10 Apr 2013
Efficient algorithms for robust recovery of images from compressed data
Efficient algorithms for robust recovery of images from compressed data
Duc-Son Pham
Svetha Venkatesh
65
43
0
26 Nov 2012