Optimizing Detection Time and Specificity: Early Classification of Time Series with Sensitivity Constraint
Poster, NeurIPS workshop on Bayesian Decision-making and Uncertainty, Vancouver, British Columbia
Talks and presentations
Balancing Act: Enhancing Early Detection and Precision in Multi-Step Diagnostic Pathways Under Neyman–Pearson Paradigm
Fast Pitch Competition, Fred Hutch TDS IRC Annual Retreat, Seattle, WA
Early decision is possible with minimal affect in accuracy.
Estimation of Riemannian Metric with Noise Contaminated Intrinsic Distance Measurements
Talk, Department of Mathematics, Wayne State University, online
Presenting the NeurIPS 2023 work.
Tailor Neyman–Pearson Classifier for Subgroups of Heterogeneous Population
Poster, Fred Hutch TDS IRC Annual Retreat, Seattle, WA
How one shall adjust Neyman–Pearson classifiers to tackle data shift.
Nonparametric Estimates for Repeated Densities with Heterogeneous Sample Sizes
Contributed papers, Joint Statistical Meetings, online
Presenting preliminary results of our work on repeated densities.