Abstract
Rights: UNKNOWN · Source: journal-auto-sync:external:CROSSREF_ISSN
Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Oliver Y. Feng, Ramji Venkataramanan, Cynthia Rush, Richard J. Samworth
Abstract
Rights: UNKNOWN · Source: journal-auto-sync:external:CROSSREF_ISSN
Authors
Institutions
No ROR-resolved institution is linked to this work yet.
Provenance
crossref
Confidence 100%
unpaywall
Confidence 95%
datacite
Confidence 0%
High-dimensional dynamics of generalization error in neural networks
10.1016/j.neunet.2020.08.022 · 2020
Unresolved referenced work
2015
On the existence of maximum likelihood estimates in logistic regression models
10.1093/biomet/71.1.1 · 1984
Unresolved referenced work
1998
Finding a large hidden clique in a random graph
10.1002/(sici)1098-2418(199810/12)13:3/4<457::aid-rsa14>3.0.co;2-w · 1998
Unresolved referenced work
2010
The spiked matrix model with generative priors
10.1109/tit.2020.3033985 · 2020
The committee machine: Computational to statistical gaps in learning a two-layers neural network
2019
10.1007/978-1-4419-0661-8
10.1007/978-1-4419-0661-8 · 2010
Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices
10.1214/009117905000000233 · 2005
Eigenvalues of large sample covariance matrices of spiked population models
10.1016/j.jmva.2005.08.003 · 2006
Unresolved referenced work
Kept as external metadata until matched
The Moore-Penrose pseudoinverse: A tutorial review of the theory
10.1007/s13538-011-0052-z · 2012
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
2016
Approximate message-passing decoder and capacity achieving sparse superposition codes
10.1109/tit.2017.2713833 · 2017
Optimal errors and phase transitions in high-dimensional generalized linear models
10.1073/pnas.1802705116 · 2019
Unresolved referenced work
Kept as external metadata until matched
Benign overfitting in linear regression
10.1073/pnas.1907378117 · 2020
Universality in polytope phase transitions and message passing algorithms
10.1214/14-aap1010 · 2015
The dynamics of message passing on dense graphs, with applications to compressed sensing
10.1109/tit.2010.2094817 · 2011
The LASSO risk for Gaussian matrices
10.1109/tit.2011.2174612 · 2012
A fast iterative shrinkage-thresholding algorithm for linear inverse problems
10.1137/080716542 · 2009
Reconciling modern machine-learning practice and the classical bias-variance trade-off
10.1073/pnas.1903070116 · 2019
Two models of double descent for weak features
10.1137/20m1336072 · 2020
SLOPE meets LASSO: Improved oracle bounds and optimality
10.1214/17-aos1670 · 2018
The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices
10.1016/j.aim.2011.02.007 · 2011
State evolution for approximate message passing with non-separable functions
2020
Latent Dirichlet allocation
2003
SLOPE-Adaptive variable selection via convex optimization
10.1214/15-aoas842 · 2015
An iterative construction of solutions of the TAP equations for the Sherrington-Kirkpatrick model
10.1007/s00220-013-1862-3 · 2014
10.1093/acprof:oso/9780199535255.001.0001
10.1093/acprof:oso/9780199535255.001.0001 · 2013
Distributed optimization and statistical learning via the alternating direction method of multipliers
10.1561/2200000016 · 2011
Measurable selections of extrema
10.1214/aos/1176342510 · 1973
Algorithmic analysis and statistical estimation of SLOPE via approximate message passing
10.1109/tit.2020.3025272 · 2021
10.1007/978-3-642-20192-9
10.1007/978-3-642-20192-9 · 2011
Memory-free dynamics for the Thouless-Anderson-Palmer equations of Ising models with arbitrary rotation-invariant ensembles of random coupling matrices
10.1103/physreve.99.062140 · 2019
Exact matrix completion via convex optimization
10.1007/s10208-009-9045-5 · 2009
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression
10.1214/18-aos1789 · 2020
The largest eigenvalues of finite rank deformation of large Wigner matrices: Convergence and nonuniversality of the fluctuations
10.1214/08-aop394 · 2009
Fundamental barriers to high-dimensional regression with convex penalties
10.1214/21-aos2100 · 2022
Sparse principal component analysis
10.1198/106186006x113430 · doi-reference
Statistical physics of inference: Thresholds and algorithms
10.1080/00018732.2016.1211393 · doi-reference
Statistical and computational trade-offs in estimation of sparse principal components
10.1214/15-aos1369 · doi-reference
Minimax sparse principal subspace estimation in high dimensions
10.1214/13-aos1151 · doi-reference
A tutorial on spectral clustering
10.1007/s11222-007-9033-z · doi-reference
10.1007/978-3-540-71050-9
10.1007/978-3-540-71050-9 · doi-reference
10.1090/gsm/058
10.1090/gsm/058 · doi-reference
Hyperspectral unmixing via turbo bilinear approximate message passing
10.1109/tci.2015.2465161 · doi-reference
10.1017/cbo9780511802256
10.1017/cbo9780511802256 · doi-reference
Regression shrinkage and selection via the Lasso
10.1111/j.2517-6161.1996.tb02080.x · doi-reference
Precise error analysis of regularized M-estimators in high dimensions
10.1109/tit.2018.2840720 · doi-reference
A statistical-mechanics approach to large-system analysis of CDMA multiuser detectors
10.1109/tit.2002.804053 · doi-reference
Rigorous dynamics of expectation-propagation-based signal recovery from unitarily invariant measurements
10.1109/tit.2019.2947058 · doi-reference
Bayes-optimal convolutional AMP
10.1109/tit.2021.3077471 · doi-reference
The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled chi-square
10.1007/s00440-018-00896-9 · doi-reference
A modern maximum-likelihood theory for high-dimensional logistic regression
10.1073/pnas.1810420116 · doi-reference
A survey of collaborative filtering techniques
10.1155/2009/421425 · doi-reference
SLOPE is adaptive to unknown sparsity and asymptotically minimax
10.1214/15-aos1397 · doi-reference
False discoveries occur early on the LASSO path
10.1214/16-aos1521 · doi-reference
10.1002/9780470316481
10.1002/9780470316481 · doi-reference
Compressive phase retrieval via generalized approximate message passing
10.1109/tsp.2014.2386294 · doi-reference
A simple derivation of AMP and its state evolution via first-order cancellation
10.1109/tsp.2020.3005545 · doi-reference
A message-passing receiver for BICM-OFDM over unknown clustered-sparse channels
10.1109/jstsp.2011.2169232 · doi-reference
Finite sample analysis of approximate message passing algorithms
10.1109/tit.2018.2816681 · doi-reference
Capacity-achieving sparse superposition codes via approximate message passing decoding
10.1109/tit.2017.2649460 · doi-reference
The replica-symmetric prediction for random linear estimation with Gaussian matrices is exact
10.1109/tit.2019.2891664 · doi-reference
Fixed points of generalized approximate message passing with arbitrary matrices
10.1109/tit.2016.2619365 · doi-reference
On the convergence of approximate message passing with arbitrary matrices
10.1109/tit.2019.2913109 · doi-reference
Vector approximate message passing
10.1109/tit.2019.2916359 · doi-reference
Asymptotic behavior of likelihood methods for exponential families when the number of parameters tends to infinity
10.1214/aos/1176350710 · doi-reference
Asymptotic behavior of M-estimators of p regression parameters when p2/n is large; II. Normal approximation
10.1214/aos/1176349744 · doi-reference
Asymptotic behavior of M-estimators of p regression parameters when p2/n is large. I. Consistency
10.1214/aos/1176346793 · doi-reference
Optimality and sub-optimality of PCA I: Spiked random matrix models
10.1214/17-aos1625 · doi-reference
Bilinear generalized approximate message passing-Part II: Applications
10.1109/tsp.2014.2357773 · doi-reference
Bilinear generalized approximate message passing-Part I: Derivation
10.1109/tsp.2014.2357776 · doi-reference
Inference with deep generative priors in high dimensions
10.1109/jsait.2020.2986321 · doi-reference
10.1007/978-3-030-38438-8
10.1007/978-3-030-38438-8 · doi-reference
10.1142/3409
10.1142/3409 · doi-reference
A theory of solving TAP equations for Ising models with general invariant random matrices
10.1088/1751-8113/49/11/114002 · doi-reference
Consistent parameter estimation for LASSO and approximate message passing
10.1214/17-aos1544 · doi-reference