Combinatorial optimization for low bit-width neural networks. - Han Zhou 013; Aida Ashrafi; Matthew B. Blaschko (ICPR, 2022)

A Corrected Expected Improvement Acquisition Function Under Noisy Observations. - Han Zhou 013; Xingchen Ma; Matthew B. Blaschko (ACML, 2023)

Redundancy-Aware Camera Selection for Indoor Scene Neural Rendering. - Zehao Wang; Han Zhou 013; Matthew B. Blaschko; Tinne Tuytelaars; Minye Wu (CoRR, 2024)

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators. - Han Zhou 013; Jordy Van Landeghem; Teodora Popordanoska; Matthew B. Blaschko (CoRR, 2024)

Bayesian Optimization over Bounded Domains with the Beta Product Kernel. - Huy Hoang Nguyen; Han Zhou 013; Matthew B. Blaschko; Aleksei Tiulpin (UAI, 2025)

Diversity-Driven View Subset Selection for Indoor Novel View Synthesis. - Zehao Wang; Han Zhou 013; Matthew B. Blaschko; Tinne Tuytelaars; Minye Wu (Trans. Mach. Learn. Res., 2025)

Revisiting Reweighted Risk for Calibration: AURC, Focal Loss, and Inverse Focal Loss. - Han Zhou 013; Sebastian G. Gruber; Teodora Popordanoska; Matthew B. Blaschko (CoRR, 2025)