2 citations · 3 across the 5 of their papers we have counts for
5 papers
Exact Minimum-Volume Confidence Set Intersection for Multinomial Outcomes
Heguang Lin, Binhao Chen, Mengze Li +2
Computation of confidence sets is central to data science and machine learning, serving as the workhorse of A/B testing and underpinning the operation and analysis of reinforcement…
HDGS: Textured 2D Gaussian Splatting for Enhanced Scene Rendering
Yunzhou Song, Heguang Lin, Jiahui Lei +2
Recent advancements in neural rendering, particularly 2D Gaussian Splatting (2DGS), have shown promising results for jointly reconstructing fine appearance and geometry by leveragi…
Taming False Positives in Out-of-Distribution Detection with Human Feedback
Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak
Robustness to out-of-distribution (OOD) samples is crucial for safely deploying machine learning models in the open world. Recent works have focused on designing scoring functions…
Promises and Pitfalls of Threshold-based Auto-labeling
Harit Vishwakarma, Heguang Lin, Frederic Sala +1
Creating large-scale high-quality labeled datasets is a major bottleneck in supervised machine learning workflows. Threshold-based auto-labeling (TBAL), where validation data obtai…
Geometry of the Minimum Volume Confidence Sets
Heguang Lin, Mengze Li, Daniel Pimentel-Alarcón +1
Computation of confidence sets is central to data science and machine learning, serving as the workhorse of A/B testing and underpinning the operation and analysis of reinforcement…