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Hierarchically Regularized Deep Forecasting
v1v2 (latest)

Hierarchically Regularized Deep Forecasting

14 June 2021
Biswajit Paria
Rajat Sen
Amr Ahmed
Abhimanyu Das
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Hierarchically Regularized Deep Forecasting"

8 / 8 papers shown
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for
  Hierarchically Related Multivariate Time Series
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series
Abishek Sriramulu
Nicolas Fourrier
Christoph Bergmeir
AI4TS
190
3
0
29 May 2024
Scalable Probabilistic Forecasting in Retail with Gradient Boosted
  Trees: A Practitioner's Approach
Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's ApproachInternational Journal of Production Economics (IJPE), 2023
Xueying Long
Quang Bui
G. Oktavian
Daniel F. Schmidt
Christoph Bergmeir
Rakshitha Godahewa
Seong Per Lee
Kaifeng Zhao
Paul Condylis
172
4
0
02 Nov 2023
Graph-based Time Series Clustering for End-to-End Hierarchical
  Forecasting
Graph-based Time Series Clustering for End-to-End Hierarchical ForecastingInternational Conference on Machine Learning (ICML), 2023
Andrea Cini
Danilo Mandic
Cesare Alippi
AI4TS
202
20
0
30 May 2023
Hierarchically Coherent Multivariate Mixture Networks
Hierarchically Coherent Multivariate Mixture Networks
Kin G. Olivares
Dave Luo
Cristian Challu
Stefania La Vattiata
Max Mergenthaler-Canseco
A. Dubrawski
BDLAI4TS
194
0
0
11 May 2023
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
Hierarchical Proxy Modeling for Improved HPO in Time Series ForecastingKnowledge Discovery and Data Mining (KDD), 2022
Arindam Jati
Vijayabharathi Ekambaram
Shaonli Pal
Brian Quanz
Wesley M. Gifford
Pavithra Harsha
Stuart Siegel
Sumanta Mukherjee
Chandra Narayanaswami
AI4TS
196
5
0
28 Nov 2022
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic
  Forecasting
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic ForecastingConference on Uncertainty in Artificial Intelligence (UAI), 2022
Abhimanyu Das
Weihao Kong
Biswajit Paria
Rajat Sen
AI4TS
276
8
0
21 Apr 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting
N-HiTS: Neural Hierarchical Interpolation for Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2022
Cristian Challu
Kin G. Olivares
Boris N. Oreshkin
Federico Garza
Max Mergenthaler-Canseco
A. Dubrawski
AI4TS
414
368
0
30 Jan 2022
Probabilistic Hierarchical Forecasting with Deep Poisson Mixtures
Probabilistic Hierarchical Forecasting with Deep Poisson MixturesInternational Journal of Forecasting (IJF), 2021
Kin G. Olivares
N. Meetei
Ruijun Ma
Rohan Reddy
Mengfei Cao
Lee Dicker
AI4TS
322
25
0
25 Oct 2021
1