Andrew D. McRae

Researcher, Ecole Nationale des Ponts et Chausees

Joined

May 2023

Names

Andrew D. McRae (Preferred)

Andrew McRae

Andrew Duncan McRae

Emails

****@epfl.ch (Confirmed)

****@enpc.fr (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Ecole Nationale des Ponts et Chausees (enpc.fr)

2025 – Present

Postdoc

EPFL - EPF Lausanne (epfl.ch)

2022 – 2025

PhD student

Georgia Institute of Technology (gatech.edu)

2017 – 2022

Advisors, Relations & Conflicts

Coauthor

Justin Romberg

Present

Coauthor

Vidya Muthukumar

Present

Coauthor

Santhosh Karnik

Present

Coauthor

Austin Xu

Present

Coauthor

Namrata Nadagouda

Present

Coauthor

Peimeng Guan

Present

Coauthor

Nauman Ahad

Present

Coauthor

Jihui Jin

Present

Coauthor

Ashwin Pananjady

Present

Coauthor

Jingyan Wang

Present

Postdoc Advisor

Nicolas Boumal

2022 – Present

PhD Advisor

Mark Davenport

2017 – 2022

Expertise

No areas of expertise listed

Publications

Benign Landscapes of Low-Dimensional Relaxations for Orthogonal Synchronization on General Graphs
Andrew D. McRae, Nicolas Boumal
- SIAM J. Optim. 2024
- Readers: Everyone
Perceptual adjustment queries: An inverted measurement paradigm for low-rank metric learning
Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
- MFPL Poster
- Readers: Everyone
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
Austin Xu, Andrew McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
- NeurIPS 2023 poster
- Readers: Everyone
Optimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer
Andrew D. McRae, Justin Romberg, Mark A. Davenport
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- IEEE Trans. Inf. Theory 2023
- Readers: Everyone
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
- NeurIPS 2023
- Readers: Everyone
New Equivalences Between Interpolation and SVMs: Kernels and Structured Features
Chiraag Kaushik, Andrew D. McRae, Mark A. Davenport, Vidya Muthukumar
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
Harmless interpolation in regression and classification with structured features
Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya K. Muthukumar
- 2022 (modified: 14 Apr 2023)
- AISTATS 2022
- Readers: Everyone
Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons
Andrew D. McRae, Austin Xu, Jihui Jin, Namrata Nadagouda, Nauman Ahad, Peimeng Guan, Santhosh Karnik, Mark A. Davenport
- Published: 01 Jan 2022, Last Modified: 09 May 2023
- ICASSP 2022
- Readers: Everyone
Sample complexity and effective dimension for regression on manifolds
Andrew D. McRae, Justin Romberg, Mark A. Davenport
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- NeurIPS 2020
- Readers: Everyone
Low-rank matrix completion and denoising under Poisson noise
Andrew D. McRae, Mark A. Davenport
- Published: 01 Jan 2019, Last Modified: 12 May 2023
- CoRR 2019
- Readers: Everyone

Andrew D. McRae

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors