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Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting

Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting

28 November 2022
Arindam Jati
Vijayabharathi Ekambaram
Shaonli Pal
Brian Quanz
Wesley M. Gifford
Pavithra Harsha
Stuart Siegel
Sumanta Mukherjee
Chandra Narayanaswami
    AI4TS
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Papers citing "Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting"

4 / 4 papers shown
Title
Large Scale Hierarchical Industrial Demand Time-Series Forecasting
  incorporating Sparsity
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
Harshavardhan Kamarthi
Aditya B. Sasanur
Xinjie Tong
Xingyu Zhou
James Peters
Joe Czyzyk
B. Aditya Prakash
AI4TS
28
2
0
02 Jul 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced
  Zero/Few-Shot Forecasting of Multivariate Time Series
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series
Vijay Ekambaram
Arindam Jati
Pankaj Dayama
Sumanta Mukherjee
Nam H. Nguyen
Wesley M. Gifford
Chandra Reddy
Jayant Kalagnanam
AI4TS
VLM
38
21
0
08 Jan 2024
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series
  Forecasting
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Vijayabharathi Ekambaram
Arindam Jati
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AI4TS
45
135
0
14 Jun 2023
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,900
0
14 Dec 2020
1