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high-dimensional time series

6 papers

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Co-occurring keywords · papers mentioning both

demand forecasting (2) matrix factorization (2) neural recording (1) temporal regularization (1) probabilistic canonical correlation analysis (1) temporal convolution network (1) temporal regularized matrix factorization (1) vector autoregression (1) tucker decomposition (1) bayesian prior (1)

Papers

Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition JMLR 2025 Low Tree-Rank Bayesian Vector Autoregression Models JMLR 2023 Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions JMLR 2021 Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings NeurIPS 2020 Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting NeurIPS 2019 Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction NeurIPS 2016