Graduated Optimization of Black-Box Functions. - Weijia Shao; Christian Geißler; Fikret Sivrikaya (CoRR, 2019)

Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives. - Weijia Shao; Sahin Albayrak (LOD (1), 2022)

Adaptive Stochastic Optimisation of Nonconvex Composite Objectives. - Weijia Shao; Fikret Sivrikaya; Sahin Albayrak (CoRR, 2022)

Optimistic optimisation of composite objective with exponentiated update. - Weijia Shao; Fikret Sivrikaya; Sahin Albayrak (Mach. Learn., 2022)

Adaptive optimisation of composite objectives with exponentiated gradient: a family of algorithms for high-dimensional and sparse targets. - Weijia Shao (2023)

When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion. - Jing Yuan; Christian Geißler; Weijia Shao; Andreas Lommatzsch; Brijnesh J. Jain (Int. J. Data Sci. Anal., 2023)

Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes. - Weijia Shao (ICML, 2024)

Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions. - Georg Siedel; Weijia Shao; Silvia Vock; Andrey Morozov 001 (VISIGRAPP (2): VISAPP, 2024)

Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing. - Georg Siedel; Ekagra Gupta; Weijia Shao; Silvia Vock; Andrey Morozov 001 (CoRR, 2025)