1 citations · 1 across the 4 of their papers we have counts for
4 papers
Adaptive Stochastic Optimisation of Nonconvex Composite Objectives
Weijia Shao, Fikret Sivrikaya, Sahin Albayrak
In this paper, we propose and analyse a family of generalised stochastic composite mirror descent algorithms. With adaptive step sizes, the proposed algorithms converge without req…
Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives
Weijia Shao, Sahin Albayrak
In this paper, we propose and analyze algorithms for zeroth-order optimization of non-convex composite objectives, focusing on reducing the complexity dependence on dimensionality.…
Optimistic Optimisation of Composite Objective with Exponentiated Update
Weijia Shao, Fikret Sivrikaya, Sahin Albayrak
This paper proposes a new family of algorithms for the online optimisation of composite objectives. The algorithms can be interpreted as the combination of the exponentiated gradie…
Graduated Optimization of Black-Box Functions
Weijia Shao, Christian Geißler, Fikret Sivrikaya
Motivated by the problem of tuning hyperparameters in machine learning, we present a new approach for gradually and adaptively optimizing an unknown function using estimated gradie…