See also my Google Scholar profile.
Journal publications
- A. D. McRae and N. Boumal, "Benign Landscapes of Low-Dimensional Relaxations for Orthogonal Synchronization on General Graphs," SIAM Journal on Optimization, 2024 (arXiv)
- A. D. McRae, J. Romberg, and M. A. Davenport, "Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer," IEEE Transactions on Information Theory, 2023 (arXiv)
- A. D. McRae and M. A. Davenport, "Low-rank matrix completion and denoising under Poisson noise," Information and Inference, 2021 (arXiv)
Conference publications
- A. Xu, A. D. McRae, J. Wang, M. A. Davenport, and A. Pananjady, "Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning," NeurIPS 2023 (arXiv)
- A. D. McRae, A. Xu, J. Jin, N. Nadagouda, N. Ahad, P. Guan, S. Karnik, and M. A. Davenport, "Delta Distancing: A Lifting Approach to Localizing Items From User Comparisons," ICASSP 2022 (ungated)
- A. D. McRae, S. Karnik, M. A. Davenport, and V. Muthukumar, "Harmless interpolation in regression and classification with structured features," AISTATS 2022 (arXiv)
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A. D. McRae, J. Romberg, and M. A. Davenport, "Sample complexity and effective dimension for regression on manifolds," NeurIPS 2020 (arXiv)