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Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms


Jul 19, 2022
Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Jun Huan


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Robust Probabilistic Time Series Forecasting


Feb 24, 2022
TaeHo Yoon, Youngsuk Park, Ernest K. Ryu, Yuyang Wang

* AISTATS 2022 camera ready version 

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Multivariate Quantile Function Forecaster


Feb 23, 2022
Kelvin Kan, François-Xavier Aubet, Tim Januschowski, Youngsuk Park, Konstantinos Benidis, Lars Ruthotto, Jan Gasthaus


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Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting


Nov 12, 2021
Youngsuk Park, Danielle Maddix, François-Xavier Aubet, Kelvin Kan, Jan Gasthaus, Yuyang Wang

* 24 pages 

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Variance Reduction in Training Forecasting Models with Subgroup Sampling


Mar 02, 2021
Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean Foster


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Attention-based Domain Adaptation for Time Series Forecasting


Feb 17, 2021
Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Yuyang Wang, Xifeng Yan

* 15 pages, 9 figures 

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Cross-domain Time Series Forecasting with Attention Sharing


Feb 13, 2021
Xiaoyong Jin, Youngsuk Park, Danielle Maddix, Bernie Wang, Xifeng Yan

* 15 pages, 9 figures 

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Structured Policy Iteration for Linear Quadratic Regulator


Jul 13, 2020
Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao


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Variable Metric Proximal Gradient Method with Diagonal Barzilai-Borwein Stepsize


Oct 15, 2019
Youngsuk Park, Sauptik Dhar, Stephen Boyd, Mohak Shah


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Network Inference via the Time-Varying Graphical Lasso


Jun 10, 2017
David Hallac, Youngsuk Park, Stephen Boyd, Jure Leskovec


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