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Christopher Frye
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2020 – today
- 2023
- [c3]Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye:
Task-specific experimental design for treatment effect estimation. ICML 2023: 6384-6401 - [i7]Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye:
Task-specific experimental design for treatment effect estimation. CoRR abs/2306.05484 (2023) - 2021
- [c2]Christopher Frye, Damien de Mijolla, Tom Begley, Laurence Cowton, Megan Stanley, Ilya Feige:
Shapley explainability on the data manifold. ICLR 2021 - 2020
- [c1]Christopher Frye, Colin Rowat, Ilya Feige:
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability. NeurIPS 2020 - [i6]Christopher Frye, Damien de Mijolla, Laurence Cowton, Megan Stanley, Ilya Feige:
Shapley-based explainability on the data manifold. CoRR abs/2006.01272 (2020) - [i5]Damien de Mijolla, Christopher Frye, Markus Kunesch, John Mansir, Ilya Feige:
Human-interpretable model explainability on high-dimensional data. CoRR abs/2010.07384 (2020) - [i4]Tom Begley, Tobias Schwedes, Christopher Frye, Ilya Feige:
Explainability for fair machine learning. CoRR abs/2010.07389 (2020) - [i3]Alex Mansbridge, Gregory Barbour, Davide Piras, Christopher Frye, Ilya Feige, David Barber:
Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy. CoRR abs/2010.12464 (2020)
2010 – 2019
- 2019
- [i2]Christopher Frye, Ilya Feige:
Parenting: Safe Reinforcement Learning from Human Input. CoRR abs/1902.06766 (2019) - [i1]Christopher Frye, Ilya Feige, Colin Rowat:
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability. CoRR abs/1910.06358 (2019)
Coauthor Index
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