Bayesian Uncertainty Quantification for Low-Rank Matrix Completion
Author:
Affiliation:
1. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology
2. Department of Statistical Science, Duke University
Publisher
Institute of Mathematical Statistics
Subject
Applied Mathematics,Statistics and Probability
Reference53 articles.
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2. Cai, J.-F., Candès, E. J., and Shen, Z. (2010). “A singular value thresholding algorithm for matrix completion.” SIAM Journal on Optimization, 20(4): 1956–1982.
3. Girolami, M. and Calderhead, B. (2011). “Riemann manifold Langevin and Hamiltonian Monte Carlo methods.” Journal of the Royal Statistical Society: Series B (Statistical Methodology), 73(2): 123–214.
4. Sacks, J., Welch, W. J., Mitchell, T. J., and Wynn, H. P. (1989). “Design and analysis of computer experiments.” Statistical Science, 4(4): 409–423.
5. Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., and Teller, E. (1953). “Equation of State Calculations by Fast Computing Machines.” The Journal of Chemical Physics, 21(6): 1087–1092.
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