21 citations · 37 across the 4 of their papers we have counts for
4 papers
Task-specific experimental design for treatment effect estimation
Bethany Connolly, Kim Moore, Tobias Schwedes +4
Understanding causality should be a core requirement of any attempt to build real impact through AI. Due to the inherent unobservability of counterfactuals, large randomised trials…
Explainability for fair machine learning
Tom Begley, Tobias Schwedes, Christopher Frye +1
As the decisions made or influenced by machine learning models increasingly impact our lives, it is crucial to detect, understand, and mitigate unfairness. But even simply determin…
Quasi Markov Chain Monte Carlo Methods
Tobias Schwedes, Ben Calderhead
Quasi-Monte Carlo (QMC) methods for estimating integrals are attractive since the resulting estimators typically converge at a faster rate than pseudo-random Monte Carlo. However,…
An iteration count estimate for a mesh-dependent steepest descent method based on finite elements and Riesz inner product representation
Tobias Schwedes, Simon W. Funke, David A. Ham
Existing implementations of gradient-based optimisation methods typically assume that the problem is posed in Euclidean space. When solving optimality problems on function spaces,…