Andrew D. McRae

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Metric Learning

Sample Complexity

Top Venues

Publications

Andrew D. McRae, Nicolas Boumal
Benign Landscapes of Low-Dimensional Relaxations for Orthogonal Synchronization on General Graphs. SIAM J. Optim. 34 (2) (2024)
Christopher Criscitiello, Quentin Rebjock, Andrew D. McRae, Nicolas Boumal
Synchronization on circles and spheres with nonlinear interactions. CoRR (2024)
Chiraag Kaushik, Andrew D. McRae, Mark A. Davenport, Vidya Muthukumar
New Equivalences Between Interpolation and SVMs: Kernels and Structured Features. CoRR (2023)
Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. NeurIPS (2023)
Andrew D. McRae, Justin Romberg, Mark A. Davenport
Optimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer. IEEE Trans. Inf. Theory 69 (3) (2023)
Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. CoRR (2023)
Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya K. Muthukumar
Harmless interpolation in regression and classification with structured features. AISTATS (2022)
Andrew D. McRae, Austin Xu, Jihui Jin, Namrata Nadagouda, Nauman Ahad, Peimeng Guan, Santhosh Karnik, Mark A. Davenport
Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons. ICASSP (2022)
Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya Muthukumar
Harmless interpolation in regression and classification with structured features. CoRR (2021)
Andrew D. McRae, Justin Romberg, Mark A. Davenport
Sample complexity and effective dimension for regression on manifolds. CoRR (2020)
Andrew D. McRae, Justin Romberg, Mark A. Davenport
Sample complexity and effective dimension for regression on manifolds. NeurIPS (2020)
Andrew D. McRae, Mark A. Davenport
Low-rank matrix completion and denoising under Poisson noise. CoRR (2019)