Alex Dytso

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 124

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

ITW

Publications

Ian Zieder, Antonino Favano, Luca Barletta, Alex Dytso
Binomial Channel: On the Capacity-Achieving Distribution and Bounds on the Capacity. CoRR (2024)
Luca Barletta, Alex Dytso, Shlomo Shamai
Improved Bounds on the Number of Support Points of the Capacity-Achieving Input for Amplitude Constrained Poisson Channels. CoRR (2024)
Leighton Pate Barnes, Alex Dytso, Jingbo Liu, H. Vincent Poor
Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise. CoRR (2024)
Alex Dytso, Martina Cardone
Uniform Distribution on (n-1)-Sphere: Rate-Distortion under Squared Error Distortion. CoRR (2024)
Antonino Favano, Luca Barletta, Alex Dytso, Gerhard Kranner
Properties of the Capacity-Achieving Input of Non-Coherent Rayleigh Fading Channels. WCNC (2024)
Minoh Jeong, Martina Cardone, Alex Dytso
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels. CoRR (2024)
Alex Dytso, Luca Barletta, Gerhard Kramer
On 2×2 MIMO Gaussian Channels with a Small Discrete-Time Peak-Power Constraint. CoRR (2024)
Minoh Jeong, Alex Dytso, Martina Cardone
Retrieving Data Permutations From Noisy Observations: Asymptotics. IEEE Trans. Inf. Theory 70 (4) (2024)
Minoh Jeong, Alex Dytso, Martina Cardone
A Comprehensive Study on Ziv-Zakai Lower Bounds on the MMSE. CoRR (2024)
Min-Oh Jeong, Alex Dytso, Martina Cardone
Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs. ISIT (2023)
Minoh Jeong, Martina Cardone, Alex Dytso
Demystifying the Optimal Performance of Multi-Class Classification. NeurIPS (2023)
Antonino Favano, Luca Barletta, Alex Dytso
Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution. Entropy 25 (5) (2023)
Jaimin Shah, Martina Cardone, Alex Dytso, Cynthia Rush
When is Mimo Massive in Radar? ICASSP (2023)
Martina Cardone, Alex Dytso, Cynthia Rush
Entropic Central Limit Theorem for Order Statistics. IEEE Trans. Inf. Theory 69 (4) (2023)
Leighton Pate Barnes, Alex Dytso, Jingbo Liu, H. Vincent Poor
Estimation: On the Optimality of Linear Estimators. CoRR (2023)
Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
Conditional Mean Estimation in Gaussian Noise: A Meta Derivative Identity With Applications. IEEE Trans. Inf. Theory 69 (3) (2023)
Leighton Pate Barnes, Alex Dytso, H. Vincent Poor
Estimation in Gaussian Noise: On the Optimality of Linear Estimators. ISIT (2023)
Min-Oh Jeong, Alex Dytso, Martina Cardone
Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs. CoRR (2023)
Michael Fauß, Alex Dytso, H. Vincent Poor
A Kullback-Leibler Divergence Variant of the Bayesian Cramér-Rao Bound. Signal Process. 207 (2023)
Mohammadamin Baniasadi, Yu Chen, Alex Dytso, Luca Barletta, Majid Safari
A Lower Bound on the Capacity of $b-\text{Modulated}$ NFDM Systems. GLOBECOM (2023)
Alex Dytso, Martina Cardone, Ian Zieder
Meta Derivative Identity for the Conditional Expectation. IEEE Trans. Inf. Theory 69 (7) (2023)
Min-Oh Jeong, Alex Dytso, Martina Cardone
Ranking Recovery under Privacy Considerations. Trans. Mach. Learn. Res. 2022 (2022)
Ian Zieder, Alex Dytso, Martina Cardone
An MMSE Lower Bound via Poincaré Inequality. CoRR (2022)
Ian Zieder, Alex Dytso, Martina Cardone
An MMSE Lower Bound via Poincaré Inequality. ISIT (2022)
L. P. Barnes, Alex Dytso, H. Vincent Poor
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning. CoRR (2022)
Antonino Favano, Luca Barletta, Alex Dytso
Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution. CoRR (2022)
Leighton Pate Barnes, Alex Dytso, H. Vincent Poor
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning. ISIT (2022)
Antonino Favano, Luca Barletta, Alex Dytso
On the Capacity Achieving Input of Amplitude Constrained Vector Gaussian Wiretap Channel. CoRR (2022)
Luca Barletta, Alex Dytso
Amplitude-Constrained Gaussian Wiretap Channel: Computation of the Optimal Input Distribution. MeditCom (2022)
Tang Liu, Alex Dytso, H. Vincent Poor, Shlomo Shamai
Consistent Estimation of Conditional Cumulants in the Empirical Bayes Framework (Extended Abstract). IEEECONF (2022)
Luca Barletta, Alex Dytso
Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution. ICC (2022)
Leighton Pate Barnes, Alex Dytso, Harold Vincent Poor
Improved Information-Theoretic Generalization Bounds for Distributed, Federated, and Iterative Learning. Entropy 24 (9) (2022)
Martina Cardone, Alex Dytso, Cynthia Rush
Entropic CLT for Order Statistics. ISIT (2022)
Min-Oh Jeong, Martina Cardone, Alex Dytso
On the Ranking Recovery from Noisy Observations up to a Distortion. ISIT (2022)
Martina Cardone, Alex Dytso, Cynthia Rush
Entropic CLT for Order Statistics. CoRR (2022)
Alex Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence. CoRR (2022)
Antonino Favano, Luca Barletta, Alex Dytso
On the Capacity Achieving Input of Amplitude Constrained Vector Gaussian Wiretap Channel. ISIT (2022)
Alex Dytso, Michael Fauß, H. Vincent Poor
Bayesian Risk With Bregman Loss: A Cramér-Rao Type Bound and Linear Estimation. IEEE Trans. Inf. Theory 68 (3) (2022)
Alex Dytso, Martina Cardone, Ian Zieder
High-Noise Asymptotics of the Ziv-Zakai Bound. IEEE Signal Process. Lett. 29 (2022)
Luca Barletta, Alex Dytso
Scalar Gaussian Wiretap Channel: Properties of the Support Size of the Secrecy-Capacity-Achieving Distribution. CoRR (2021)
Alex Dytso, Martina Cardone
A General Derivative Identity for the Conditional Expectation with Focus on the Exponential Family. ITW (2021)
Min-Oh Jeong, Alex Dytso, Martina Cardone
Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics. ISIT (2021)
Alex Dytso, Luca Barletta, Shlomo Shamai Shitz
Properties of the Support of the Capacity-Achieving Distribution of the Amplitude-Constrained Poisson Noise Channel. IEEE Trans. Inf. Theory 67 (11) (2021)
Luca Barletta, Alex Dytso
Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution. CoRR (2021)
Luca Barletta, Alex Dytso
Scalar Gaussian Wiretap Channel: Bounds on the Support Size of the Secrecy-Capacity-Achieving Distribution. ITW (2021)
Alex Dytso, Martina Cardone
A General Derivative Identity for the Conditional Expectation with Focus on the Exponential Family. CoRR (2021)
Alex Dytso, Luca Barletta, Shlomo Shamai
Bounds on the Number of Mass Points of the Capacity Achieving Distribution of the Amplitude Constraint Poisson Noise Channel. CoRR (2021)
Wei Cao, Alex Dytso, Michael Fauß, H. Vincent Poor
Finite-Sample Bounds on the Accuracy of Plug-In Estimators of Fisher Information. Entropy 23 (5) (2021)
Michael Fauß, Alex Dytso, H. Vincent Poor
A variational interpretation of the Cramér-Rao bound. Signal Process. 182 (2021)
Alex Dytso, Luca Barletta, Shlomo Shamai Shitz
Amplitude Constrained Poisson Noise Channel: Properties of the Capacity-Achieving Input Distribution. ITW (2021)
Michael Fauß, Alex Dytso, H. Vincent Poor
An Inequality for Bayesian Bregman Risks With Applications in Directional Estimation. MFI (2021)
Alex Dytso, H. Vincent Poor, Shlomo Shamai
A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications. CoRR (2021)
Alex Dytso, Martina Cardone, Cynthia Rush
The Most Informative Order Statistic and its Application to Image Denoising. CoRR (2021)
Luca Barletta, Alex Dytso
Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution. CoRR (2021)
Min-Oh Jeong, Alex Dytso, Martina Cardone
Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics. CoRR (2021)
Alex Dytso, Martina Cardone, Cynthia Rush
Information Theoretic Approach to L-Estimators. ACSCC (2021)
Luc Devroye, Alex Dytso
Consistent Density Estimation Under Discrete Mixture Models. CoRR (2021)
Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor
Recovering Data Permutations From Noisy Observations: The Linear Regime. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
On the Distribution of the Conditional Mean Estimator in Gaussian Noise. ITW (2020)
Alex Dytso, Martina Cardone, Cynthia Rush
Measuring Dependencies of Order Statistics: An Information Theoretic Perspective. CoRR (2020)
Michael Fauß, Alex Dytso, H. Vincent Poor
MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution. CoRR (2020)
Alex Dytso, Michael Fauß, H. Vincent Poor
A Class of Lower Bounds for Bayesian Risk with a Bregman Loss. CoRR (2020)
Alex Dytso, Michael Fauss, H. Vincent Poor
The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator. CoRR (2020)
Alex Dytso, Semih Yagli, H. Vincent Poor, Shlomo Shamai Shitz
The Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points. IEEE Trans. Inf. Theory 66 (4) (2020)
Wei Cao, Alex Dytso, Michael Fauß, Gang Feng, H. Vincent Poor
Robust Power Allocation for Parallel Gaussian Channels With Approximately Gaussian Input Distributions. IEEE Trans. Wirel. Commun. 19 (6) (2020)
Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor
Recovering Structure of Noisy Data through Hypothesis Testing. ISIT (2020)
Semih Yagli, Alex Dytso, H. Vincent Poor
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning. CoRR (2020)
Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor
Recovering Data Permutation from Noisy Observations: The Linear Regime. CoRR (2020)
Semih Yagli, Alex Dytso, H. Vincent Poor
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning. SPAWC (2020)
Alex Dytso, Martina Cardone, Cynthia Rush
Measuring Dependencies of Order Statistics: An Information Theoretic Perspective. ITW (2020)
Alex Dytso, Michael Fauß, H. Vincent Poor
A Class of Lower Bounds for Bayesian Risk with a Bregman Loss. SPAWC (2020)
Michael Fauß, H. Vincent Poor, Alex Dytso
MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution. ACSSC (2020)
Wei Cao, Alex Dytso, Michael Fauß, H. Vincent Poor, Gang Feng
On Nonparametric Estimation of the Fisher Information. ISIT (2020)
Alex Dytso, H. Vincent Poor
An Empirical Bayes Approach to Partially Labeled and Shuffled Data Sets. ICASSP (2020)
Alex Dytso, H. Vincent Poor
Estimation in Poisson Noise: Properties of the Conditional Mean Estimator. IEEE Trans. Inf. Theory 66 (7) (2020)
Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications. ISIT (2020)
Min-Oh Jeong, Alex Dytso, Martina Cardone
Gradient of Error Probability of $M$-ary Hypothesis Testing Problems Under Multivariate Gaussian Noise. IEEE Signal Process. Lett. 27 (2020)
Wei Cao, Alex Dytso, Michael Fauß, H. Vincent Poor, Gang Feng
Nonparametric Estimation of the Fisher Information and Its Applications. CoRR (2020)
Alex Dytso, Michael Fauß, H. Vincent Poor
The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator. IEEE Trans. Signal Process. 68 (2020)
Wei Cao, Alex Dytso, Michael Fauss, Gang Feng, H. Vincent Poor
Robust Waterfilling for Approximately Gaussian Inputs. GLOBECOM (2019)
Alex Dytso, Martina Cardone, Mishfad S. Veedu, H. Vincent Poor
On Estimation under Noisy Order Statistics. ISIT (2019)
Semih Yagli, Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
Some Aspects of Totally Positive Kernels Useful in Information Theory. WCNC Workshops (2019)
Alex Dytso, Martina Cardone, Mishfad S. Veedu, H. Vincent Poor
On Estimation under Noisy Order Statistics. CoRR (2019)
Alex Dytso, H. Vincent Poor
Estimation in Poisson Noise: Properties of the Conditional Mean Estimator. CoRR (2019)
Alex Dytso, Semih Yagli, H. Vincent Poor, Shlomo Shamai
The Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points. CoRR (2019)
Alex Dytso, Martina Cardone, H. Vincent Poor
On Estimating the Norm of a Gaussian Vector Under Additive White Gaussian Noise. IEEE Signal Process. Lett. 26 (9) (2019)
Wei Cao, Alex Dytso, Yanina Shkel, Gang Feng, H. Vincent Poor
Sum-Capacity of the MIMO Many-Access Gaussian Noise Channel. IEEE Trans. Commun. 67 (8) (2019)
Alex Dytso, H. Vincent Poor
Properties of the Conditional Mean Estimator in Poisson Noise. ITW (2019)
Semih Yagli, Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
An Upper Bound on the Number of Mass Points in the Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel. ISIT (2019)
Semih Yagli, Alex Dytso, H. Vincent Poor
Estimation of Bounded Normal Mean: An Alternative Proof for the Discreteness of the Least Favorable Prior. ITW (2019)
Alex Dytso, Michael Fauß, Abdelhak M. Zoubir, H. Vincent Poor
MMSE Bounds for Additive Noise Channels Under Kullback-Leibler Divergence Constraints on the Input Distribution. IEEE Trans. Signal Process. 67 (24) (2019)
Michael Fauß, Abdelhak M. Zoubir, Alex Dytso, H. Vincent Poor, Kyatsandra G. Nagananda
Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation. CoRR (2019)
Wei Cao, Alex Dytso, Yanina Shkel, Gang Feng, H. Vincent Poor
Sum-Capacity of the MIMO Gaussian Many-Access Channel. ICC (2019)
Alex Dytso, Mert Al, H. Vincent Poor, Shlomo Shamai Shitz
On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective. IEEE Trans. Inf. Theory 65 (6) (2019)
Alex Dytso, H. Vincent Poor
On Stability of Linear Estimators in Poisson Noise. ACSSC (2019)
Michael Fauß, Abdelhak M. Zoubir, Alex Dytso, H. Vincent Poor, Kyatsandra G. Nagananda
Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation. SPAWC (2019)
Alex Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai (Shitz)
Amplitude Constrained MIMO Channels: Properties of Optimal Input Distributions and Bounds on the Capacity. Entropy 21 (2) (2019)
Alex Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai Shitz
When are discrete channel inputs optimal? - Optimization techniques and some new results. CISS (2018)
Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
A Differential Privacy Mechanism Design Under Matrix-Valued Query. CoRR (2018)
Michael Fauß, Abdelhak M. Zoubir, Alex Dytso, H. Vincent Poor
Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution. SSP (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alex Dytso