Christopher Frye

Quantitative Researcher, D. E. Shaw & Co.

Joined

September 2020

Names

Christopher Frye (Preferred)

Emails

****@faculty.ai (Confirmed)

,

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Quantitative Researcher

D. E. Shaw & Co. (deshaw.com)

2024 – Present

Head of R&D

Faculty (faculty.ai)

2018 – 2024

Graduate Student

Harvard University (harvard.edu)

2013 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Task-specific experimental design for treatment effect estimation
Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye
- ICML 2023 OralPoster
- Readers: Everyone
Learning to Noise: Application-Agnostic Data Sharing with Local Differential Privacy
Alex Mansbridge, Gregory Barbour, Davide Piras, Christopher Frye, Ilya Feige, David Barber
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Explainability for fair machine learning
Tom Begley, Tobias Schwedes, Christopher Frye, Ilya Feige
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Human-interpretable model explainability on high-dimensional data
Damien de Mijolla, Christopher Frye, Markus Kunesch, John Mansir, Ilya Feige
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Shapley explainability on the data manifold
Christopher Frye, Damien de Mijolla, Tom Begley, Laurence Cowton, Megan Stanley, Ilya Feige
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone

Co-Authors