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math.OC2022★ 2 cited
Sufficient conditions for non-asymptotic convergence of Riemannian optimisation methods
Vishwak Srinivasan, Ashia Wilson
Motivated by energy based analyses for descent methods in the Euclidean setting, we investigate a generalisation of such analyses for descent methods over Riemannian manifolds. In…
stat.ML2022★ 3 cited
Algorithms that Approximate Data Removal: New Results and Limitations
Vinith M. Suriyakumar, Ashia C. Wilson
We study the problem of deleting user data from machine learning models trained using empirical risk minimization. Our focus is on learning algorithms which return the empirical ri…
math.OC2022
Multilevel Optimization for Inverse Problems
Simon Weissmann, Ashia Wilson, Jakob Zech
Inverse problems occur in a variety of parameter identification tasks in engineering. Such problems are challenging in practice, as they require repeated evaluation of computationa…