100 citations · 194 across the 7 of their papers we have counts for
7 papers
Randomised subspace methods for non-convex optimization, with applications to nonlinear least-squares
Coralia Cartis, Jaroslav Fowkes, Zhen Shao
We propose a general random subspace framework for unconstrained nonconvex optimization problems that requires a weak probabilistic assumption on the subspace gradient, which we sh…
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares
Coralia Cartis, Jaroslav Fowkes, Zhen Shao
We propose a Randomised Subspace Gauss-Newton (R-SGN) algorithm for solving nonlinear least-squares optimization problems, that uses a sketched Jacobian of the residual in the vari…
Gaussian Processes for Demand Unconstraining
Ilan Price, Jaroslav Fowkes, Daniel Hopman
One of the key challenges in revenue management is unconstraining demand data. Existing state of the art single-class unconstraining methods make restrictive assumptions about the…
A Subsequence Interleaving Model for Sequential Pattern Mining
Jaroslav Fowkes, Charles Sutton
Recent sequential pattern mining methods have used the minimum description length (MDL) principle to define an encoding scheme which describes an algorithm for mining the most comp…
Parameter-Free Probabilistic API Mining across GitHub
Jaroslav Fowkes, Charles Sutton
Existing API mining algorithms can be difficult to use as they require expensive parameter tuning and the returned set of API calls can be large, highly redundant and difficult to…
A Bayesian Network Model for Interesting Itemsets
Jaroslav Fowkes, Charles Sutton
Mining itemsets that are the most interesting under a statistical model of the underlying data is a commonly used and well-studied technique for exploratory data analysis, with the…
Autofolding for Source Code Summarization
Jaroslav Fowkes, Pankajan Chanthirasegaran, Razvan Ranca +3
Developers spend much of their time reading and browsing source code, raising new opportunities for summarization methods. Indeed, modern code editors provide code folding, which a…