受强制性开放获取政策约束的文章 - Yaniv Plan了解详情
无法在其他位置公开访问的文章：1 篇
Sparsity-free compressed sensing with applications to generative priors
A Naderi, Y Plan
IEEE Journal on Selected Areas in Information Theory 3 (3), 493-501, 2022
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
可在其他位置公开访问的文章：21 篇
The generalized lasso with non-linear observations
Y Plan, R Vershynin
IEEE Transactions on information theory 62 (3), 1528-1537, 2016
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
High-dimensional estimation with geometric constraints
Y Plan, R Vershynin, E Yudovina
Information and Inference: A Journal of the IMA 6 (1), 1-40, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Exponential decay of reconstruction error from binary measurements of sparse signals
RG Baraniuk, S Foucart, D Needell, Y Plan, M Wootters
IEEE Transactions on Information Theory 63 (6), 3368-3385, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense
Nearly tight sample complexity bounds for learning mixtures of gaussians via sample compression schemes
H Ashtiani, S Ben-David, N Harvey, C Liaw, A Mehrabian, Y Plan
Advances in Neural Information Processing Systems 31, 2018
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, Canada First …
A simple tool for bounding the deviation of random matrices on geometric sets
C Liaw, A Mehrabian, Y Plan, R Vershynin
Geometric Aspects of Functional Analysis: Israel Seminar (GAFA) 2014–2016 …, 2017
强制性开放获取政策： US National Science Foundation, US Department of Defense, Natural Sciences …
Near-optimal sample complexity bounds for robust learning of gaussian mixtures via compression schemes
H Ashtiani, S Ben-David, NJA Harvey, C Liaw, A Mehrabian, Y Plan
Journal of the ACM (JACM) 67 (6), 1-42, 2020
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada, Canada First …
Learning tensors from partial binary measurements
N Ghadermarzy, Y Plan, O Yilmaz
IEEE Transactions on Signal Processing 67 (1), 29-40, 2018
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Weighted matrix completion from non-random, non-uniform sampling patterns
S Foucart, D Needell, R Pathak, Y Plan, M Wootters
IEEE Transactions on Information Theory 67 (2), 1264-1290, 2020
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
Near-optimal sample complexity for convex tensor completion
N Ghadermarzy, Y Plan, Ö Yilmaz
Information and Inference: A Journal of the IMA 8 (3), 577-619, 2019
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
One-bit compressive sensing of dictionary-sparse signals
R Baraniuk, S Foucart, D Needell, Y Plan, M Wootters
Information and Inference: A Journal of the IMA 7 (1), 83-104, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense, Natural Sciences …
Sub‐Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
H Jeong, X Li, Y Plan, O Yilmaz
Communications on Pure and Applied Mathematics 75 (8), 1713-1754, 2022
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
NBIHT: An efficient algorithm for 1-bit compressed sensing with optimal error decay rate
MP Friedlander, H Jeong, Y Plan, Ö Yılmaz
IEEE Transactions on Information Theory 68 (2), 1157-1177, 2021
强制性开放获取政策： US Department of Defense, Natural Sciences and Engineering Research Council …
De-biasing low-rank projection for matrix completion
S Foucart, D Needell, Y Plan, M Wootters
Wavelets and sparsity XVII 10394, 269-281, 2017
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
A coherence parameter characterizing generative compressed sensing with Fourier measurements
A Berk, S Brugiapaglia, B Joshi, Y Plan, M Scott, Ö Yilmaz
IEEE Journal on Selected Areas in Information Theory 3 (3), 502-512, 2022
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees
B Joshi, X Li, Y Plan, O Yilmaz
Advances in Neural Information Processing Systems 34, 24719-24729, 2021
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Sensitivity of ℓ1 minimization to parameter choice
A Berk, Y Plan, Ö Yilmaz
Information and Inference: A Journal of the IMA 10 (2), 397-453, 2021
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Optimizing quantization for Lasso recovery
X Gu, S Tu, HJM Shi, M Case, D Needell, Y Plan
IEEE Signal Processing Letters 25 (1), 45-49, 2017
强制性开放获取政策： US National Science Foundation, Natural Sciences and Engineering Research …
On the best choice of LASSO program given data parameters
A Berk, Y Plan, Ö Yılmaz
IEEE Transactions on Information Theory 68 (4), 2573-2603, 2021
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Non-gaussian random matrices on sets: Optimal tail dependence and applications
H Jeong, X Li, Y Plan, Ö Yilmaz
2019 13th International conference on Sampling Theory and Applications …, 2019
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
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