4 papers
Gradient flow for finding E-optimal designs
Jieling Shi, Kim-Chuan Toh, Xin T. Tong +1
The -optimality criterion for a regression model maximizes the smallest eigenvalue of the information matrix and becomes non-differentiable when this eigenvalue has multiplicity…
Data-Driven Fire Modeling: Learning First Arrival Times and Model Parameters with Neural Networks
Xin Tong, Bryan Quaife
Data-driven techniques are being increasingly applied to complement physics-based models in fire science. However, the lack of sufficiently large datasets continues to hinder the a…
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
Harshavardhan Kamarthi, Aditya B. Sasanur, Xinjie Tong +4
Hierarchical time-series forecasting (HTSF) is an important problem for many real-world business applications where the goal is to simultaneously forecast multiple time-series that…
Permutation Recovery on Manifold Data via Spectral Seriation
Yuehaw Khoo, Xin T. Tong, Wanjie Wang +1
Data points in many scientific experiments originate from an ordered structure, yet this ordering is often unavailable.We consider noisy data points with the correct ordering to be…