| Analytical properties of generalized Gaussian distributions A Dytso, R Bustin, HV Poor, S Shamai Journal of Statistical Distributions and Applications 5, 1-40, 2018 | 80 | 2018 |
| 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 | 55 | 2020 |
| 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 | 48 | 2019 |
| 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 | 44 | 2018 |
| Interference as noise: Friend or foe? A Dytso, D Tuninetti, N Devroye IEEE Transactions on Information Theory 62 (6), 3561-3596, 2016 | 42 | 2016 |
| 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 | 37 | 2017 |
| 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 | 28 | 2019 |
| 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 | 28 | 2018 |
| 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 | 25 | 2017 |
| Estimation in Poisson noise: Properties of the conditional mean estimator A Dytso, HV Poor IEEE Transactions on Information Theory 66 (7), 4304-4323, 2020 | 24 | 2020 |
| 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 | 24 | 2018 |
| Measuring dependencies of order statistics: An information theoretic perspective A Dytso, M Cardone, C Rush 2020 IEEE Information Theory Workshop (ITW), 1-5, 2021 | 19 | 2021 |
| 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 | 19 | 2018 |
| 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 | 17 | 2020 |
| 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 | 16 | 2019 |
| 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 | 16 | 2018 |
| Differentiated service-aware group paging for massive machine-type communication W Cao, A Dytso, G Feng, HV Poor, Z Chen IEEE Transactions on Communications 66 (11), 5444-5456, 2018 | 15 | 2018 |
| On discrete alphabets for the two-user Gaussian interference channel with one receiver lacking knowledge of the interfering codebook A Dytso, D Tuninetti, N Devroye 2014 Information Theory and Applications Workshop (ITA), 1-8, 2014 | 15 | 2014 |
| On the Minimum Mean th Error in Gaussian Noise Channels and Its Applications A Dytso, R Bustin, D Tuninetti, N Devroye, HV Poor, SS Shitz IEEE Transactions on Information Theory 64 (3), 2012-2037, 2017 | 14 | 2017 |
| On the Two-user Interference Channel with Lack of Knowledge of the Interference Codebook at one Receiver A Dytso, D Tuninetti, N Devroye IEEE, 2014 | 14 | 2014 |
HV PoorMichael Henry Strater University Professor, Princeton University在 princeton.edu 的电子邮件经过验证
