Weijia Shao

According to our database, Weijia Shao authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions.

Georg Siedel, Weijia Shao, Silvia Vock, Andrey Morozov

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes.

Weijia Shao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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., August, 2023

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

Weijia Shao

PhD thesis, 2023

2022

Optimistic optimisation of composite objective with exponentiated update.

Weijia Shao, Fikret Sivrikaya, Sahin Albayrak

Mach. Learn., 2022

Adaptive Stochastic Optimisation of Nonconvex Composite Objectives.

Weijia Shao, Fikret Sivrikaya, Sahin Albayrak

CoRR, 2022

Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives.

Weijia Shao, Sahin Albayrak

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2019

Graduated Optimization of Black-Box Functions.

Weijia Shao, Christian Geißler, Fikret Sivrikaya

CoRR, 2019