2 citations · 4 across the 9 of their papers we have counts for
10 papers
Scalable Deep Basis Kernel Gaussian Processes
Yunqin Zhu, Henry Shaowu Yuchi, Yao Xie
Learning expressive kernels while retaining tractable inference remains a central challenge in scaling Gaussian processes (GPs) to large and complex datasets. We propose a scalable…
Modeling Discrete Coating Degradation Events via Hawkes Processes
Matthew Repasky, Henry Yuchi, Fritz Friedersdorf +1
Forecasting the degradation of coated materials has long been a topic of critical interest in engineering, as it has enormous implications for both system maintenance and sustainab…
New User Event Prediction Through the Lens of Causal Inference
Henry Shaowu Yuchi, Shixiang Zhu, Li Dong +2
Modeling and analysis for event series generated by users of heterogeneous behavioral patterns are closely involved in our daily lives, including credit card fraud detection, onlin…
Mobile Internet Quality Estimation using Self-Tuning Kernel Regression
Hanyang Jiang, Henry Shaowu Yuchi, Elizabeth Belding +2
Modeling and estimation for spatial data are ubiquitous in real life, frequently appearing in weather forecasting, pollution detection, and agriculture. Spatial data analysis often…
Discovering the Unknowns: A First Step
V. Roshan Joseph, William E. Lewis, Henry S. Yuchi +1
This article aims at discovering the unknown variables in the system through data analysis. The main idea is to use the time of data collection as a surrogate variable and try to i…
Conglomerate Multi-Fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions
Yi Ji, Henry Shaowu Yuchi, Derek Soeder +5
In an era where scientific experimentation is often costly, multi-fidelity emulation provides a powerful tool for predictive scientific computing. While there has been notable work…
Signal Processing Challenges and Examples for {\it in-situ} Transmission Electron Microscopy
Josh Kacher, Yao Xie, Sven P. Voigt +4
Transmission Electron Microscopy (TEM) is a powerful tool for imaging material structure and characterizing material chemistry. Recent advances in data collection technology for TE…
Bayesian Uncertainty Quantification for Low-Rank Matrix Completion
Henry Shaowu Yuchi, Simon Mak, Yao Xie
We consider the problem of uncertainty quantification for an unknown low-rank matrix , given a partial and noisy observation of its entries. This quantification of unce…
Sequential Adversarial Anomaly Detection for One-Class Event Data
Shixiang Zhu, Henry Shaowu Yuchi, Minghe Zhang +1
We consider the sequential anomaly detection problem in the one-class setting when only the anomalous sequences are available and propose an adversarial sequential detector by solv…
Dimension Reduction via Gaussian Ridge Functions
Pranay Seshadri, Shaowu Yuchi, Geoffrey T. Parks
Ridge functions have recently emerged as a powerful set of ideas for subspace-based dimension reduction. In this paper we begin by drawing parallels between ridge subspaces, suffic…