Han Zhou

11 papers A* 1A 1B 1C 1Journal 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators.
ICML
Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko
2025 A conf
Bayesian Optimization over Bounded Domains with the Beta Product Kernel.
UAI
Huy Hoang Nguyen, Han Zhou, Matthew B. Blaschko, Aleksei Tiulpin
2025 J jnl
Bayesian Optimization over Bounded Domains with the Beta Product Kernel.
CoRR
Huy Hoang Nguyen, Han Zhou, Matthew B. Blaschko, Aleksei Tiulpin
2025 J jnl
Diversity-Driven View Subset Selection for Indoor Novel View Synthesis.
Trans. Mach. Learn. Res.
Zehao Wang, Han Zhou, Matthew B. Blaschko, Tinne Tuytelaars, Minye Wu
2025 J jnl
Revisiting Reweighted Risk for Calibration: AURC, Focal Loss, and Inverse Focal Loss.
CoRR
Han Zhou, Sebastian G. Gruber, Teodora Popordanoska, Matthew B. Blaschko
2024 J jnl
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators.
CoRR
Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko
2024 J jnl
Redundancy-Aware Camera Selection for Indoor Scene Neural Rendering.
CoRR
Zehao Wang, Han Zhou, Matthew B. Blaschko, Tinne Tuytelaars, Minye Wu
2023 C conf
A Corrected Expected Improvement Acquisition Function Under Noisy Observations.
ACML
Han Zhou, Xingchen Ma, Matthew B. Blaschko
2023 J jnl
A Corrected Expected Improvement Acquisition Function Under Noisy Observations.
CoRR
Han Zhou, Xingchen Ma, Matthew B. Blaschko
2022 B conf
Combinatorial optimization for low bit-width neural networks.
ICPR
Han Zhou, Aida Ashrafi, Matthew B. Blaschko
2022 J jnl
Combinatorial optimization for low bit-width neural networks.
CoRR
Han Zhou, Aida Ashrafi, Matthew B. Blaschko