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Model Agnostic Time Series Analysis via Matrix Estimation
v1v2v3v4v5v6 (latest)

Model Agnostic Time Series Analysis via Matrix Estimation

Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2018
25 February 2018
Anish Agarwal
M. Amjad
Devavrat Shah
Dennis Shen
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Model Agnostic Time Series Analysis via Matrix Estimation"

12 / 12 papers shown
Title
Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity
Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity
Diego Martinez-Taboada
Tomás González
Aaditya Ramdas
52
0
0
05 Nov 2025
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes
Justin Whitehouse
Zhiwei Steven Wu
Aaditya Ramdas
269
10
0
13 Oct 2023
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic
  Autoregressive Noise
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive NoiseNeural Information Processing Systems (NeurIPS), 2023
Abdullah Alomar
M. Dahleh
Sean Mann
Devavrat Shah
AI4TS
152
3
0
25 May 2023
Matrix Estimation for Individual Fairness
Matrix Estimation for Individual FairnessInternational Conference on Machine Learning (ICML), 2023
Cindy Y. Zhang
Sarah H. Cen
Devavrat Shah
FaML
348
4
0
04 Feb 2023
On Multivariate Singular Spectrum Analysis and its Variants
On Multivariate Singular Spectrum Analysis and its Variants
Anish Agarwal
Abdullah Alomar
Devavrat Shah
AI4TS
193
0
0
24 Jun 2020
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series
  Forecasting
Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting
Xinyu Chen
Lijun Sun
AI4TS
170
22
0
18 Jun 2020
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting
Block Hankel Tensor ARIMA for Multiple Short Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2020
Qiquan Shi
Jiaming Yin
Jiajun Cai
A. Cichocki
Tatsuya Yokota
Lei Chen
Mingxuan Yuan
Jia Zeng
AI4TS
205
107
0
25 Feb 2020
Harnessing Structures for Value-Based Planning and Reinforcement
  Learning
Harnessing Structures for Value-Based Planning and Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2019
Yuzhe Yang
Guo Zhang
Zhi Xu
Dina Katabi
OffRL
324
36
0
26 Sep 2019
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
ME-Net: Towards Effective Adversarial Robustness with Matrix EstimationInternational Conference on Machine Learning (ICML), 2019
Yuzhe Yang
Guo Zhang
Dina Katabi
Zhi Xu
AAML
174
174
0
28 May 2019
Time-Series Analysis via Low-Rank Matrix Factorization Applied to
  Infant-Sleep Data
Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data
Sheng Liu
Mark Cheng
Hayley R. Brooks
Wayne E. Mackey
D. Heeger
E. Tabak
C. Fernandez‐Granda
AI4TS
58
2
0
09 Apr 2019
tspDB: Time Series Predict DB
tspDB: Time Series Predict DB
M. Amjad
Abdullah Alomar
Devavrat Shah
AI4TS
197
1
0
17 Mar 2019
On Robustness of Principal Component Regression
On Robustness of Principal Component RegressionNeural Information Processing Systems (NeurIPS), 2019
Anish Agarwal
Devavrat Shah
Dennis Shen
Dogyoon Song
585
85
0
28 Feb 2019
1