Statistical Learning
Streaming PCA for Markovian Data
Since its inception in 1982, Oja's algorithm has become an established method for streaming principle component analysis (PCA).
Simple, Scalable and Effective Clustering via One-Dimensional Projections
In large-scale applications, datasets often contain billions of high-dimensional points. Grouping similar data points into clusters is crucial for understanding and organizing datasets.
Class-Conditional Conformal Prediction with Many Classes
We propose a method called clustered conformal prediction that clusters together classes having "similar" conformal
A Data and Software Availability 532 A.1 Data Availability
As shown in Figure 13, we applied higher noise settings (SNR 0.005, 0.001) to the
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
Single particle cryo-electron microscopy (cryo-EM) is a widely used imaging technique for visualizing biomolecular complexes at near-atomic resolution.
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Uncertainty quantification (UQ) is important for reliability assessment and enhancement of machine learning models.
