Christopher Frye

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Differentially Private

Reinforcement Learning

Treatment Group

Top Venues

Publications

Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye
Task-specific experimental design for treatment effect estimation. CoRR (2023)
Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye
Task-specific experimental design for treatment effect estimation. ICML (2023)
Christopher Frye, Damien de Mijolla, Tom Begley, Laurence Cowton, Megan Stanley, Ilya Feige
Shapley explainability on the data manifold. ICLR (2021)
Alex Mansbridge, Gregory Barbour, Davide Piras, Christopher Frye, Ilya Feige, David Barber
Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy. CoRR (2020)
Christopher Frye, Colin Rowat, Ilya Feige
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability. NeurIPS (2020)
Tom Begley, Tobias Schwedes, Christopher Frye, Ilya Feige
Explainability for fair machine learning. CoRR (2020)
Damien de Mijolla, Christopher Frye, Markus Kunesch, John Mansir, Ilya Feige
Human-interpretable model explainability on high-dimensional data. CoRR (2020)
Christopher Frye, Damien de Mijolla, Laurence Cowton, Megan Stanley, Ilya Feige
Shapley-based explainability on the data manifold. CoRR (2020)
Christopher Frye, Ilya Feige
Parenting: Safe Reinforcement Learning from Human Input. CoRR (2019)
Christopher Frye, Ilya Feige, Colin Rowat
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability. CoRR (2019)