Christopher Frye

11 papers A* 3Journal 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Language hooks: a modular framework for augmenting LLM reasoning that decouples tool usage from the model and its prompt. CoRR Damien de Mijolla, Wen Yang, Philippa Duckett, Christopher Frye, Mark Worrall
2023	A*	`conf`	Task-specific experimental design for treatment effect estimation. ICML Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye
2023	J	`jnl`	Task-specific experimental design for treatment effect estimation. CoRR Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye
2021	A*	`conf`	Shapley explainability on the data manifold. ICLR Christopher Frye, Damien de Mijolla, Tom Begley, Laurence Cowton, Megan Stanley, Ilya Feige
2020	A*	`conf`	Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability. NeurIPS Christopher Frye, Colin Rowat, Ilya Feige
2020	J	`jnl`	Explainability for fair machine learning. CoRR Tom Begley, Tobias Schwedes, Christopher Frye, Ilya Feige
2020	J	`jnl`	Human-interpretable model explainability on high-dimensional data. CoRR Damien de Mijolla, Christopher Frye, Markus Kunesch, John Mansir, Ilya Feige
2020	J	`jnl`	Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy. CoRR Alex Mansbridge, Gregory Barbour, Davide Piras, Christopher Frye, Ilya Feige, David Barber
2020	J	`jnl`	Shapley-based explainability on the data manifold. CoRR Christopher Frye, Damien de Mijolla, Laurence Cowton, Megan Stanley, Ilya Feige
2019	J	`jnl`	Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability. CoRR Christopher Frye, Ilya Feige, Colin Rowat
2019	J	`jnl`	Parenting: Safe Reinforcement Learning from Human Input. CoRR Christopher Frye, Ilya Feige