Publications (9)
Design Strategies and Approximation Methods for High-Performance Computing Variability Management
Yueyao Wang, Li Xu, Yili Hong +6
Performance variability management is an active research area in high-performance computing (HPC). We focus on input/output (I/O) variability. To study the performance variability,…
Leveraging Interpolation Models and Error Bounds for Verifiable Scientific Machine Learning
Tyler Chang, Andrew Gillette, Romit Maulik
Effective verification and validation techniques for modern scientific machine learning workflows are challenging to devise. Statistical methods are abundant and easily deployed, b…
Adolescence to Adulthood Online: Tracing Youth Digital Expression on Reddit Over 13 Years
Tyler Chang, Khushboo Patel, Afsaneh Razi +1
Reddit is widely used in research on youth and social media, yet there has been limited systematic examination of the diversity of content produced by young users or how their part…
Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives
Romain Egele, Tyler Chang, Yixuan Sun +2
Machine learning (ML) methods offer a wide range of configurable hyperparameters that have a significant influence on their performance. While accuracy is a commonly used performan…
Technically Love: The Evolution of Human-AI Romance Discourse on Reddit
Tyler Chang, Jina Huh-Yoo, Afsaneh Razi
Human-AI romantic relationships are increasingly common, yet little is understood about how public discourse around them emerges and shifts over time. Prior research has examined u…
SF-SFD: Stochastic Optimization of Fourier Coefficients to Generate Space-Filling Designs
Manisha Garg, Tyler Chang, Krishnan Raghavan
Due to the curse of dimensionality, it is often prohibitively expensive to generate deterministic space-filling designs. On the other hand, when using na{ï}ve uniform random sampl…