Andrew D. McRae

According to our database, Andrew D. McRae authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Optimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer.

Andrew D. McRae, Justin Romberg, Mark A. Davenport

IEEE Trans. Inf. Theory, March, 2023

New Equivalences Between Interpolation and SVMs: Kernels and Structured Features.

Chiraag Kaushik, Andrew D. McRae, Mark A. Davenport, Vidya Muthukumar

CoRR, 2023

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Proceedings of the IEEE International Conference on Acoustics, 2022

Harmless interpolation in regression and classification with structured features.

Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya K. Muthukumar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

Sample complexity and effective dimension for regression on manifolds.

Andrew D. McRae, Justin Romberg, Mark A. Davenport

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Low-rank matrix completion and denoising under Poisson noise.

Andrew D. McRae, Mark A. Davenport

CoRR, 2019