受强制性开放获取政策约束的文章 - Alex Dytso了解详情
无法在其他位置公开访问的文章：2 篇
Meta Derivative Identity for the Conditional Expectation
A Dytso, M Cardone, I Zieder
IEEE Transactions on Information Theory 69 (7), 4284-4302, 2023
强制性开放获取政策： US National Science Foundation
Retrieving Data Permutations from Noisy Observations: Asymptotics
M Jeong, A Dytso, M Cardone
IEEE Transactions on Information Theory, 2023
强制性开放获取政策： US National Science Foundation
可在其他位置公开访问的文章：69 篇
Analytical properties of generalized Gaussian distributions
A Dytso, R Bustin, HV Poor, S Shamai
Journal of Statistical Distributions and Applications 5, 1-40, 2018
强制性开放获取政策： US National Science Foundation, European Commission
Information-theoretic bounds on the generalization error and privacy leakage in federated learning
S Yagli, A Dytso, HV Poor
2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020
强制性开放获取政策： US National Science Foundation
The capacity achieving distribution for the amplitude constrained additive Gaussian channel: An upper bound on the number of mass points
A Dytso, S Yagli, HV Poor, SS Shitz
IEEE Transactions on Information Theory 66 (4), 2006-2022, 2019
强制性开放获取政策： US National Science Foundation, European Commission
Mvg mechanism: Differential privacy under matrix-valued query
T Chanyaswad, A Dytso, HV Poor, P Mittal
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Interference as noise: Friend or foe?
A Dytso, D Tuninetti, N Devroye
IEEE Transactions on Information Theory 62 (6), 3561-3596, 2016
强制性开放获取政策： US National Science Foundation
Upper and lower bounds on the capacity of amplitude-constrained MIMO channels
A Dytso, M Goldenbaum, S Shamai, HV Poor
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
强制性开放获取政策： US National Science Foundation, German Research Foundation, European Commission
On the capacity of the peak power constrained vector Gaussian channel: An estimation theoretic perspective
A Dytso, M Al, HV Poor, SS Shitz
IEEE Transactions on Information Theory 65 (6), 3907-3921, 2019
强制性开放获取政策： US National Science Foundation, European Commission
When are discrete channel inputs optimal?—Optimization techniques and some new results
A Dytso, M Goldenbaum, HV Poor, SS Shitz
2018 52nd Annual Conference on Information Sciences and Systems (CISS), 1-6, 2018
强制性开放获取政策： US National Science Foundation, German Research Foundation, European Commission
Estimation in Poisson noise: Properties of the conditional mean estimator
A Dytso, HV Poor
IEEE Transactions on Information Theory 66 (7), 4304-4323, 2020
强制性开放获取政策： US National Science Foundation
Mutual information as a function of matrix snr for linear gaussian channels
G Reeves, HD Pfister, A Dytso
2018 IEEE International Symposium on Information Theory (ISIT), 1754-1758, 2018
强制性开放获取政策： US National Science Foundation
On additive channels with generalized Gaussian noise
A Dytso, R Bustin, HV Poor, SS Shitz
2017 IEEE International Symposium on Information Theory (ISIT), 426-430, 2017
强制性开放获取政策： US National Science Foundation, European Commission
On the structure of the least favorable prior distributions
A Dytso, HV Poor, R Bustin, S Shamai
2018 IEEE International Symposium on Information Theory (ISIT), 1081-1085, 2018
强制性开放获取政策： US National Science Foundation, European Commission
Measuring dependencies of order statistics: An information theoretic perspective
A Dytso, M Cardone, C Rush
2020 IEEE Information Theory Workshop (ITW), 1-5, 2021
强制性开放获取政策： US National Science Foundation
A general derivative identity for the conditional mean estimator in Gaussian noise and some applications
A Dytso, HV Poor, SS Shitz
2020 IEEE International Symposium on Information Theory (ISIT), 1183-1188, 2020
强制性开放获取政策： US National Science Foundation
MMSE bounds for additive noise channels under Kullback–Leibler divergence constraints on the input distribution
A Dytso, M Fauß, AM Zoubir, HV Poor
IEEE Transactions on Signal Processing 67 (24), 6352-6367, 2019
强制性开放获取政策： US National Science Foundation, German Research Foundation
Optimal inputs for some classes of degraded wiretap channels
A Dytso, M Egan, SM Perlaza, HV Poor, SS Shitz
2018 IEEE Information Theory Workshop (ITW), 1-5, 2018
强制性开放获取政策： US National Science Foundation, European Commission
Amplitude constrained MIMO channels: Properties of optimal input distributions and bounds on the capacity
A Dytso, M Goldenbaum, HV Poor, S Shamai
Entropy 21 (2), 200, 2019
强制性开放获取政策： US National Science Foundation, German Research Foundation, European Commission
Improved information theoretic generalization bounds for distributed and federated learning
LP Barnes, A Dytso, HV Poor
2022 IEEE International Symposium on Information Theory (ISIT), 1465-1470, 2022
强制性开放获取政策： US National Science Foundation
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