Andrew D. McRae

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Mark A. DavenportProfessor of Electrical & Computer Engineering, Georgia Institute of TechnologyVerified email at gatech.edu
Vidya MuthukumarGeorgia Institute of TechnologyVerified email at gatech.edu
Justin RombergProfessor of Electrical and Computer Engineering, Georgia Institute of TechnologyVerified email at ece.gatech.edu
Santhosh KarnikPostdoctoral Research AssociateVerified email at northeastern.edu
Nicolas BoumalEcole Polytechnique Fédérale de Lausanne (EPFL)Verified email at epfl.ch
Chiraag KaushikGeorgia Institute of TechnologyVerified email at gatech.edu
Austin XuSalesforce AI ResearchVerified email at salesforce.com
Christopher CriscitielloEPFLVerified email at epfl.ch
Quentin RebjockEPFLVerified email at epfl.ch
Ashwin PananjadyGeorgia Institute of TechnologyVerified email at gatech.edu
Jingyan WangToyota Technological Institute at ChicagoVerified email at ttic.edu
Nauman AhadGeorgia Institute of TechnologyVerified email at gatech.edu
Namrata NadagoudaPhD student, Georgia Institute of TechnologyVerified email at gatech.edu
Peimeng GuanGeorgia Institute of TechnologyVerified email at gatech.edu
Afonso S. BandeiraProfessor of Mathematics, ETH ZurichVerified email at math.ethz.ch

Andrew D. McRae

Postdoc, EPFL

Verified email at epfl.ch - Homepage

Statistical inference Signal processing Machine learning Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Low-rank matrix completion and denoising under Poisson noise AD McRae, MA Davenport Information and Inference: A Journal of the IMA 10 (2), 697-720, 2021	27	2021
Harmless interpolation in regression and classification with structured features AD McRae, S Karnik, M Davenport, VK Muthukumar International Conference on Artificial Intelligence and Statistics, 5853-5875, 2022	15	2022
Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer AD McRae, J Romberg, MA Davenport IEEE Transactions on Information Theory 69 (3), 1866-1882, 2023	12	2023
Sample complexity and effective dimension for regression on manifolds A McRae, J Romberg, M Davenport Advances in Neural Information Processing Systems 33, 12993-13004, 2020	11	2020
Benign landscapes of low-dimensional relaxations for orthogonal synchronization on general graphs AD McRae, N Boumal SIAM Journal on Optimization 34 (2), 1427-1454, 2024	5	2024
New Equivalences between Interpolation and SVMs: Kernels and Structured Features C Kaushik, AD McRae, M Davenport, V Muthukumar SIAM Journal on Mathematics of Data Science 6 (3), 761-787, 2024	4	2024
Synchronization on circles and spheres with nonlinear interactions C Criscitiello, Q Rebjock, AD McRae, N Boumal arXiv preprint arXiv:2405.18273, 2024	3	2024
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning A Xu, A McRae, J Wang, M Davenport, A Pananjady Advances in Neural Information Processing Systems 36, 2023	2	2023
Nonconvex landscapes for synchronization and graph clustering are benign near exact recovery thresholds AD McRae, P Abdalla, AS Bandeira, N Boumal arXiv preprint arXiv:2407.13407, 2024		2024
Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms AD McRae arXiv preprint arXiv:2404.12828, 2024		2024
Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons AD McRae, A Xu, J Jin, N Nadagouda, N Ahad, P Guan, S Karnik, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022		2022
Structured Statistical Estimation via Optimization AD Mcrae Georgia Institute of Technology, 2022		2022

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