7 citations · 10 across the 4 of their papers we have counts for
4 papers
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
Arindam Jati, Vijay Ekambaram, Shaonli Pal +6
Selecting the right set of hyperparameters is crucial in time series forecasting. The classical temporal cross-validation framework for hyperparameter optimization (HPO) often lead…
Generative Adversarial Network for Probabilistic Forecast of Random Dynamical System
Kyongmin Yeo, Zan Li, Wesley M. Gifford
We present a deep learning model for data-driven simulations of random dynamical systems without a distributional assumption. The deep learning model consists of a recurrent neural…
AutoAI-TS: AutoAI for Time Series Forecasting
Syed Yousaf Shah, Dhaval Patel, Long Vu +10
A large number of time series forecasting models including traditional statistical models, machine learning models and more recently deep learning have been proposed in the literat…
Negative-Unlabeled Tensor Factorization for Location Category Inference from Highly Inaccurate Mobility Data
Jinfeng Yi, Qi Lei, Wesley Gifford +2
Identifying significant location categories visited by mobile users is the key to a variety of applications. This is an extremely challenging task due to the possible deviation bet…