Alex Dytso

160 papers A* 2B 46Misc 9Journal 87Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Functional Properties of the Focal-Entropy.
CoRR
Jaimin Shah, Martina Cardone, Alex Dytso
2026 — conf
Fundamental Limits of ISAC for Vehicular Lane Identification: A Rate-Distortion Approach.
JC&S
Mohammadreza Bakhshizadeh Mohajer, Alex Dytso, Daniela Tuninetti, Luca Barletta
2025 J jnl
A Comprehensive Study on Ziv-Zakai Lower Bounds on the MMSE.
IEEE Trans. Inf. Theory
Minoh Jeong, Alex Dytso, Martina Cardone
2025 J jnl
A Rate-Distortion Bound for ISAC.
CoRR
Mohammadreza Bakhshizadeh Mohajer, Alex Dytso, Daniela Tuninetti, Luca Barletta
2025 J jnl
An Improved Lower Bound on Cardinality of Support of the Amplitude-Constrained AWGN Channel.
CoRR
Haiyang Wang, Luca Barletta, Alex Dytso
2025 B conf
Estimation Error: Distribution and Pointwise Limits.
ITW
Luca Barletta, Alex Dytso, Shlomo Shamai Shitz
2025 J jnl
Estimation Error: Distribution and Pointwise Limits.
CoRR
Luca Barletta, Alex Dytso, Shlomo Shamai
2025 J jnl
Functional uniqueness and stability of Gaussian priors in optimal L1 estimation.
CoRR
Leighton Pate Barnes, Alex Dytso
2025 Misc conf
Generalized Linear Models with 1-Bit Measurements: Asymptotics of the Maximum Likelihood Estimator.
ICASSP
Jaimin Shah, Martina Cardone, Cynthia Rush, Alex Dytso
2025 J jnl
Generalized Linear Models with 1-Bit Measurements: Asymptotics of the Maximum Likelihood Estimator.
CoRR
Jaimin Shah, Martina Cardone, Cynthia Rush, Alex Dytso
2025 B conf
Linearity-Inducing Priors for Poisson Parameter Estimation Under L
ISIT
Leighton Pate Barnes, Alex Dytso, H. Vincent Poor
2025 J jnl
Linearity-Inducing Priors for Poisson Parameter Estimation Under L
CoRR
Leighton Pate Barnes, Alex Dytso, H. Vincent Poor
2025 B conf
Lossy Source Coding with Focal Loss.
ISIT
Alex Dytso, Martina Cardone
2025 J jnl
Lossy Source Coding with Focal Loss.
CoRR
Alex Dytso, Martina Cardone
2025 J jnl
Non-Coherent Rayleigh Fading Channels: Properties of the Capacity-Achieving Input.
IEEE Trans. Inf. Theory
Antonino Favano, Luca Barletta, Alex Dytso, Gerhard Kramer
2024 J jnl
A Comprehensive Study on Ziv-Zakai Lower Bounds on the MMSE.
CoRR
Minoh Jeong, Alex Dytso, Martina Cardone
2024 B conf
Binomial Channel: On the Capacity-Achieving Distribution and Bounds on the Capacity.
ISIT
Luca Barletta, Ian Zieder, Antonino Favano, Alex Dytso
2024 J jnl
Binomial Channel: On the Capacity-Achieving Distribution and Bounds on the Capacity.
CoRR
Ian Zieder, Antonino Favano, Luca Barletta, Alex Dytso
2024 — conf
Capacity-Achieving Input of Non-Coherent Rayleigh Fading Channels: Bounds on the Number of Mass Points.
ICC
Antonino Favano, Luca Barletta, Alex Dytso, Gerhard Kramer
2024 B conf
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels.
ISIT
Minoh Jeong, Martina Cardone, Alex Dytso
2024 J jnl
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels.
CoRR
Minoh Jeong, Martina Cardone, Alex Dytso
2024 B conf
Improved Bounds on the Number of Support Points of the Capacity-Achieving Input for Amplitude Constrained Poisson Channels.
ISIT
Luca Barletta, Alex Dytso, Shlomo Shamai
2024 J jnl
Improved Bounds on the Number of Support Points of the Capacity-Achieving Input for Amplitude Constrained Poisson Channels.
CoRR
Luca Barletta, Alex Dytso, Shlomo Shamai
2024 J jnl
L
IEEE Trans. Inf. Theory
Leighton Pate Barnes, Alex Dytso, Jingbo Liu, H. Vincent Poor
2024 B conf
Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise.
ISIT
Leighton Pate Barnes, Alex Dytso, Jingbo Liu, H. Vincent Poor
2024 J jnl
Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise.
CoRR
Leighton Pate Barnes, Alex Dytso, Jingbo Liu, H. Vincent Poor
2024 B conf
On $2\times 2$ MIMO Gaussian Channels with a Small Discrete-Time Peak-Power Constraint.
ISIT
Alex Dytso, Luca Barletta, Gerhard Kramer
2024 J jnl
On 2×2 MIMO Gaussian Channels with a Small Discrete-Time Peak-Power Constraint.
CoRR
Alex Dytso, Luca Barletta, Gerhard Kramer
2024 B conf
Properties of the Capacity-Achieving Input of Non-Coherent Rayleigh Fading Channels.
WCNC
Antonino Favano, Luca Barletta, Alex Dytso, Gerhard Kranner
2024 J jnl
Retrieving Data Permutations From Noisy Observations: Asymptotics.
IEEE Trans. Inf. Theory
Minoh Jeong, Alex Dytso, Martina Cardone
2024 B conf
Uniform Distribution on ($n - 1$)-Sphere: Rate-Distortion Under Squared Error Distortion.
ISIT
Alex Dytso, Martina Cardone
2024 J jnl
Uniform Distribution on (n-1)-Sphere: Rate-Distortion under Squared Error Distortion.
CoRR
Alex Dytso, Martina Cardone
2023 J jnl
A Kullback-Leibler Divergence Variant of the Bayesian Cramér-Rao Bound.
Signal Process.
Michael Fauß, Alex Dytso, H. Vincent Poor
2023 B conf
A Lower Bound on the Capacity of $b-\text{Modulated}$ NFDM Systems.
GLOBECOM
Mohammadamin Baniasadi, Yu Chen, Alex Dytso, Luca Barletta, Majid Safari
2023 J jnl
Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution.
Entropy
Antonino Favano, Luca Barletta, Alex Dytso
2023 J jnl
Conditional Mean Estimation in Gaussian Noise: A Meta Derivative Identity With Applications.
IEEE Trans. Inf. Theory
Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
2023 A* conf
Demystifying the Optimal Performance of Multi-Class Classification.
NeurIPS
Minoh Jeong, Martina Cardone, Alex Dytso
2023 J jnl
Entropic Central Limit Theorem for Order Statistics.
IEEE Trans. Inf. Theory
Martina Cardone, Alex Dytso, Cynthia Rush
2023 B conf
Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs.
ISIT
Min-Oh Jeong, Alex Dytso, Martina Cardone
2023 J jnl
Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs.
CoRR
Min-Oh Jeong, Alex Dytso, Martina Cardone
2023 B conf
L
ISIT
Leighton Pate Barnes, Alex Dytso, H. Vincent Poor
2023 J jnl
L
CoRR
Leighton Pate Barnes, Alex Dytso, Jingbo Liu, H. Vincent Poor
2023 J jnl
Meta Derivative Identity for the Conditional Expectation.
IEEE Trans. Inf. Theory
Alex Dytso, Martina Cardone, Ian Zieder
2023 Misc conf
When is Mimo Massive in Radar?
ICASSP
Jaimin Shah, Martina Cardone, Alex Dytso, Cynthia Rush
2022 J jnl
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence.
CoRR
Alex Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai
2022 J jnl
Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution.
CoRR
Antonino Favano, Luca Barletta, Alex Dytso
2022 — conf
Amplitude-Constrained Gaussian Wiretap Channel: Computation of the Optimal Input Distribution.
MeditCom
Luca Barletta, Alex Dytso
2022 B conf
An MMSE Lower Bound via Poincaré Inequality.
ISIT
Ian Zieder, Alex Dytso, Martina Cardone
2022 J jnl
An MMSE Lower Bound via Poincaré Inequality.
CoRR
Ian Zieder, Alex Dytso, Martina Cardone
2022 J jnl
Bayesian Risk With Bregman Loss: A Cramér-Rao Type Bound and Linear Estimation.
IEEE Trans. Inf. Theory
Alex Dytso, Michael Fauß, H. Vincent Poor
2022 — conf
Consistent Estimation of Conditional Cumulants in the Empirical Bayes Framework (Extended Abstract).
IEEECONF
Tang Liu, Alex Dytso, H. Vincent Poor, Shlomo Shamai
2022 B conf
Entropic CLT for Order Statistics.
ISIT
Martina Cardone, Alex Dytso, Cynthia Rush
2022 J jnl
Entropic CLT for Order Statistics.
CoRR
Martina Cardone, Alex Dytso, Cynthia Rush
2022 J jnl
High-Noise Asymptotics of the Ziv-Zakai Bound.
IEEE Signal Process. Lett.
Alex Dytso, Martina Cardone, Ian Zieder
2022 B conf
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning.
ISIT
Leighton Pate Barnes, Alex Dytso, H. Vincent Poor
2022 J jnl
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning.
CoRR
Leighton Pate Barnes, Alex Dytso, H. Vincent Poor
2022 J jnl
Improved Information-Theoretic Generalization Bounds for Distributed, Federated, and Iterative Learning.
Entropy
Leighton Pate Barnes, Alex Dytso, Harold Vincent Poor
2022 B conf
On the Capacity Achieving Input of Amplitude Constrained Vector Gaussian Wiretap Channel.
ISIT
Antonino Favano, Luca Barletta, Alex Dytso
2022 J jnl
On the Capacity Achieving Input of Amplitude Constrained Vector Gaussian Wiretap Channel.
CoRR
Antonino Favano, Luca Barletta, Alex Dytso
2022 B conf
On the Ranking Recovery from Noisy Observations up to a Distortion.
ISIT
Min-Oh Jeong, Martina Cardone, Alex Dytso
2022 — conf
Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution.
ICC
Luca Barletta, Alex Dytso
2022 J jnl
Ranking Recovery under Privacy Considerations.
Trans. Mach. Learn. Res.
Min-Oh Jeong, Alex Dytso, Martina Cardone
2021 B conf
A General Derivative Identity for the Conditional Expectation with Focus on the Exponential Family.
ITW
Alex Dytso, Martina Cardone
2021 J jnl
A General Derivative Identity for the Conditional Expectation with Focus on the Exponential Family.
CoRR
Alex Dytso, Martina Cardone
2021 J jnl
A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications.
CoRR
Alex Dytso, H. Vincent Poor, Shlomo Shamai
2021 J jnl
A variational interpretation of the Cramér-Rao bound.
Signal Process.
Michael Fauß, Alex Dytso, H. Vincent Poor
2021 B conf
Amplitude Constrained Poisson Noise Channel: Properties of the Capacity-Achieving Input Distribution.
ITW
Alex Dytso, Luca Barletta, Shlomo Shamai Shitz
2021 — conf
An Inequality for Bayesian Bregman Risks With Applications in Directional Estimation.
MFI
Michael Fauß, Alex Dytso, H. Vincent Poor
2021 J jnl
Bounds on the Number of Mass Points of the Capacity Achieving Distribution of the Amplitude Constraint Poisson Noise Channel.
CoRR
Alex Dytso, Luca Barletta, Shlomo Shamai
2021 J jnl
Finite-Sample Bounds on the Accuracy of Plug-In Estimators of Fisher Information.
Entropy
Wei Cao, Alex Dytso, Michael Fauß, H. Vincent Poor
2021 — conf
Information Theoretic Approach to L-Estimators.
ACSCC
Alex Dytso, Martina Cardone, Cynthia Rush
2021 J jnl
Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution.
CoRR
Luca Barletta, Alex Dytso
2021 J jnl
Properties of the Support of the Capacity-Achieving Distribution of the Amplitude-Constrained Poisson Noise Channel.
IEEE Trans. Inf. Theory
Alex Dytso, Luca Barletta, Shlomo Shamai Shitz
2021 B conf
Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics.
ISIT
Min-Oh Jeong, Alex Dytso, Martina Cardone
2021 J jnl
Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics.
CoRR
Min-Oh Jeong, Alex Dytso, Martina Cardone
2021 J jnl
Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution.
CoRR
Luca Barletta, Alex Dytso
2021 B conf
Scalar Gaussian Wiretap Channel: Bounds on the Support Size of the Secrecy-Capacity-Achieving Distribution.
ITW
Luca Barletta, Alex Dytso
2021 J jnl
Scalar Gaussian Wiretap Channel: Properties of the Support Size of the Secrecy-Capacity-Achieving Distribution.
CoRR
Luca Barletta, Alex Dytso
2021 J jnl
The Most Informative Order Statistic and its Application to Image Denoising.
CoRR
Alex Dytso, Martina Cardone, Cynthia Rush
2020 — conf
A Class of Lower Bounds for Bayesian Risk with a Bregman Loss.
SPAWC
Alex Dytso, Michael Fauß, H. Vincent Poor
2020 J jnl
A Class of Lower Bounds for Bayesian Risk with a Bregman Loss.
CoRR
Alex Dytso, Michael Fauß, H. Vincent Poor
2020 B conf
A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications.
ISIT
Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
2020 Misc conf
An Empirical Bayes Approach to Partially Labeled and Shuffled Data Sets.
ICASSP
Alex Dytso, H. Vincent Poor
2020 J jnl
Estimation in Poisson Noise: Properties of the Conditional Mean Estimator.
IEEE Trans. Inf. Theory
Alex Dytso, H. Vincent Poor
2020 J jnl
Gradient of Error Probability of $M$-ary Hypothesis Testing Problems Under Multivariate Gaussian Noise.
IEEE Signal Process. Lett.
Min-Oh Jeong, Alex Dytso, Martina Cardone
2020 — conf
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning.
SPAWC
Semih Yagli, Alex Dytso, H. Vincent Poor
2020 J jnl
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning.
CoRR
Semih Yagli, Alex Dytso, H. Vincent Poor
2020 Misc conf
MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution.
ACSSC
Michael Fauß, H. Vincent Poor, Alex Dytso
2020 J jnl
MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution.
CoRR
Michael Fauß, Alex Dytso, H. Vincent Poor
2020 B conf
Measuring Dependencies of Order Statistics: An Information Theoretic Perspective.
ITW
Alex Dytso, Martina Cardone, Cynthia Rush
2020 J jnl
Measuring Dependencies of Order Statistics: An Information Theoretic Perspective.
CoRR
Alex Dytso, Martina Cardone, Cynthia Rush
2020 J jnl
Nonparametric Estimation of the Fisher Information and Its Applications.
CoRR
Wei Cao, Alex Dytso, Michael Fauß, H. Vincent Poor, Gang Feng
2020 B conf
On Nonparametric Estimation of the Fisher Information.
ISIT
Wei Cao, Alex Dytso, Michael Fauß, H. Vincent Poor, Gang Feng
2020 B conf
On the Distribution of the Conditional Mean Estimator in Gaussian Noise.
ITW
Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
2020 J jnl
Recovering Data Permutation from Noisy Observations: The Linear Regime.
CoRR
Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor
2020 J jnl
Recovering Data Permutations From Noisy Observations: The Linear Regime.
IEEE J. Sel. Areas Inf. Theory
Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor
2020 B conf
Recovering Structure of Noisy Data through Hypothesis Testing.
ISIT
Min-Oh Jeong, Alex Dytso, Martina Cardone, H. Vincent Poor
2020 J jnl
Robust Power Allocation for Parallel Gaussian Channels With Approximately Gaussian Input Distributions.
IEEE Trans. Wirel. Commun.
Wei Cao, Alex Dytso, Michael Fauß, Gang Feng, H. Vincent Poor
2020 J jnl
The Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points.
IEEE Trans. Inf. Theory
Alex Dytso, Semih Yagli, H. Vincent Poor, Shlomo Shamai Shitz
2020 J jnl
The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator.
CoRR
Alex Dytso, Michael Fauss, H. Vincent Poor
2020 J jnl
The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator.
IEEE Trans. Signal Process.
Alex Dytso, Michael Fauß, H. Vincent Poor
2019 J jnl
Amplitude Constrained MIMO Channels: Properties of Optimal Input Distributions and Bounds on the Capacity.
Entropy
Alex Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai (Shitz)
2019 B conf
An Upper Bound on the Number of Mass Points in the Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel.
ISIT
Semih Yagli, Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
2019 J jnl
Estimation in Poisson Noise: Properties of the Conditional Mean Estimator.
CoRR
Alex Dytso, H. Vincent Poor
2019 B conf
Estimation of Bounded Normal Mean: An Alternative Proof for the Discreteness of the Least Favorable Prior.
ITW
Semih Yagli, Alex Dytso, H. Vincent Poor
2019 J jnl
MMSE Bounds for Additive Noise Channels Under Kullback-Leibler Divergence Constraints on the Input Distribution.
IEEE Trans. Signal Process.
Alex Dytso, Michael Fauß, Abdelhak M. Zoubir, H. Vincent Poor
2019 J jnl
On Estimating the Norm of a Gaussian Vector Under Additive White Gaussian Noise.
IEEE Signal Process. Lett.
Alex Dytso, Martina Cardone, H. Vincent Poor
2019 B conf
On Estimation under Noisy Order Statistics.
ISIT
Alex Dytso, Martina Cardone, Mishfad S. Veedu, H. Vincent Poor
2019 J jnl
On Estimation under Noisy Order Statistics.
CoRR
Alex Dytso, Martina Cardone, Mishfad S. Veedu, H. Vincent Poor
2019 Misc conf
On Stability of Linear Estimators in Poisson Noise.
ACSSC
Alex Dytso, H. Vincent Poor
2019 J jnl
On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective.
IEEE Trans. Inf. Theory
Alex Dytso, Mert Al, H. Vincent Poor, Shlomo Shamai Shitz
2019 B conf
Properties of the Conditional Mean Estimator in Poisson Noise.
ITW
Alex Dytso, H. Vincent Poor
2019 B conf
Robust Waterfilling for Approximately Gaussian Inputs.
GLOBECOM
Wei Cao, Alex Dytso, Michael Fauss, Gang Feng, H. Vincent Poor
2019 — conf
Some Aspects of Totally Positive Kernels Useful in Information Theory.
WCNC Workshops
Semih Yagli, Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
2019 — conf
Sum-Capacity of the MIMO Gaussian Many-Access Channel.
ICC
Wei Cao, Alex Dytso, Yanina Shkel, Gang Feng, H. Vincent Poor
2019 J jnl
Sum-Capacity of the MIMO Many-Access Gaussian Noise Channel.
IEEE Trans. Commun.
Wei Cao, Alex Dytso, Yanina Shkel, Gang Feng, H. Vincent Poor
2019 J jnl
The Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points.
CoRR
Alex Dytso, Semih Yagli, H. Vincent Poor, Shlomo Shamai
2019 — conf
Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation.
SPAWC
Michael Fauß, Abdelhak M. Zoubir, Alex Dytso, H. Vincent Poor, Kyatsandra G. Nagananda
2019 J jnl
Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation.
CoRR
Michael Fauß, Abdelhak M. Zoubir, Alex Dytso, H. Vincent Poor, Kyatsandra G. Nagananda
2018 J jnl
A Differential Privacy Mechanism Design Under Matrix-Valued Query.
CoRR
Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
2018 B conf
Capacity of the Vector Gaussian Channel in the Small Amplitude Regime.
ITW
Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz
2018 J jnl
Differentiated Service-Aware Group Paging for Massive Machine-Type Communication.
IEEE Trans. Commun.
Wei Cao, Alex Dytso, Gang Feng, H. Vincent Poor, Zhi Chen
2018 B conf
Group Paging for Massive Machine-Type Communications with Diverse Access Requirements.
GLOBECOM
Wei Cao, Alex Dytso, Gang Feng, H. Vincent Poor, Zhi Chen
2018 A* conf
MVG Mechanism: Differential Privacy under Matrix-Valued Query.
CCS
Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
2018 J jnl
MVG Mechanism: Differential Privacy under Matrix-Valued Query.
CoRR
Thee Chanyaswad, Alex Dytso, H. Vincent Poor, Prateek Mittal
2018 B conf
Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels.
ISIT
Galen Reeves, Henry D. Pfister, Alex Dytso
2018 J jnl
On Communication Through a Gaussian Channel With an MMSE Disturbance Constraint.
IEEE Trans. Inf. Theory
Alex Dytso, Ronit Bustin, Daniela Tuninetti, Natasha Devroye, H. Vincent Poor, Shlomo Shamai Shitz
2018 J jnl
On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective.
CoRR
Alex Dytso, H. Vincent Poor, Shlomo Shamai
2018 J jnl
On the Minimum Mean
IEEE Trans. Inf. Theory
Alex Dytso, Ronit Bustin, Daniela Tuninetti, Natasha Devroye, H. Vincent Poor, Shlomo Shamai Shitz
2018 B conf
On the Structure of the Least Favorable Prior Distributions.
ISIT
Alex Dytso, H. Vincent Poor, Ronit Bustin, Shlomo Shamai
2018 B conf
Optimal Inputs for Some Classes of Degraded Wiretap Channels.
ITW
Alex Dytso, Malcolm Egan, Samir Medina Perlaza, H. Vincent Poor, Shlomo Shamai Shitz
2018 — conf
Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution.
SSP
Michael Fauß, Abdelhak M. Zoubir, Alex Dytso, H. Vincent Poor
2018 Misc conf
When are discrete channel inputs optimal? - Optimization techniques and some new results.
CISS
Alex Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai Shitz
2017 J jnl
A View of Information-Estimation Relations in Gaussian Networks.
Entropy
Alex Dytso, Ronit Bustin, H. Vincent Poor, Shlomo Shamai (Shitz)
2017 B conf
A generalized Ozarow-Wyner capacity bound with applications.
ISIT
Alex Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai Shitz
2017 J jnl
Comment on the Equality Condition for the I-MMSE Proof of Entropy Power Inequality.
CoRR
Alex Dytso, Ronit Bustin, H. Vincent Poor, Shlomo Shamai
2017 B conf
On additive channels with generalized Gaussian noise.
ISIT
Alex Dytso, Ronit Bustin, H. Vincent Poor, Shlomo Shamai Shitz
2017 — conf
On the equality condition for the I-MMSE proof of the entropy power inequality.
Allerton
Alex Dytso, Ronit Bustin, H. Vincent Poor, Shlomo Shamai Shitz
2017 B conf
Upper and Lower Bounds on the Capacity of Amplitude-Constrained MIMO Channels.
GLOBECOM
Alex Dytso, Mario Goldenbaum, Shlomo Shamai, H. Vincent Poor
2017 J jnl
Upper and Lower Bounds on the Capacity of Amplitude-Constrained MIMO Channels.
CoRR
Alex Dytso, Mario Goldenbaum, Shlomo Shamai, H. Vincent Poor
2016 J jnl
Interference as Noise: Friend or Foe?
IEEE Trans. Inf. Theory
Alex Dytso, Daniela Tuninetti, Natasha Devroye
2016 J jnl
On Communication through a Gaussian Channel with an MMSE Disturbance Constraint.
CoRR
Alex Dytso, Ronit Bustin, Daniela Tuninetti, Natasha Devroye, H. Vincent Poor, Shlomo Shamai
2016 Misc conf
On communications through a Gaussian noise channel with an MMSE disturbance constraint.
ITA
Alex Dytso, Ronit Bustin, Daniela Tuninetti, Natasha Devroye, H. Vincent Poor, Shlomo Shamai Shitz
2016 J jnl
On the Minimum Mean p-th Error in Gaussian Noise Channels and its Applications.
CoRR
Alex Dytso, Ronit Bustin, Daniela Tuninetti, Natasha Devroye, H. Vincent Poor, Shlomo Shamai
2016 B conf
On the applications of the minimum mean p-th error (MMPE) to information theoretic quantities.
ITW
Alex Dytso, Ronit Bustin, Daniela Tuninetti, Natasha Devroye, H. Vincent Poor, Shlomo Shamai
2016 B conf
On the minimum mean p-th error in Gaussian noise channels and its applications.
ISIT
Alex Dytso, Ronit Bustin, Daniela Tuninetti, Natasha Devroye, H. Vincent Poor, Shlomo Shamai
2015 J jnl
Interference as Noise: Friend or Foe?
CoRR
Alex Dytso, Daniela Tuninetti, Natasha Devroye
2015 Misc conf
Nearly optimal non-Gaussian codes for the Gaussian interference channel.
ACSSC
Alex Dytso, Daniela Tuninetti, Natasha Devroye
2015 J jnl
On the Two-User Interference Channel With Lack of Knowledge of the Interference Codebook at One Receiver.
IEEE Trans. Inf. Theory
Alex Dytso, Daniela Tuninetti, Natasha Devroye
2015 B conf
The Gaussian Interference Channel with lack of codebook knowledge at one receiver: Symmetric capacity to within a gap with a PAM input.
ITW
Alex Dytso, Daniela Tuninetti, Natasha Devroye
2015 B conf
i.i.d. mixed inputs and treating interference as noise are gDoF optimal for the symmetric Gaussian two-user interference channel.
ISIT
Alex Dytso, Daniela Tuninetti, Natasha Devroye
2014 J jnl
On Discrete Alphabets for the Two-user Gaussian Interference Channel with One Receiver Lacking Knowledge of the Interfering Codebook.
CoRR
Alex Dytso, Daniela Tuninetti, Natasha Devroye
2014 B conf
On Gaussian interference channels with mixed gaussian and discrete inputs.
ISIT
Alex Dytso, Natasha Devroye, Daniela Tuninetti
2014 Misc conf
On discrete alphabets for the two-user Gaussian interference channel with one receiver lacking knowledge of the interfering codebook.
ITA
Alex Dytso, Daniela Tuninetti, Natasha Devroye
2014 J jnl
On the Capacity Region of the Two-User Interference Channel With a Cognitive Relay.
IEEE Trans. Wirel. Commun.
Alex Dytso, Stefano Rini, Natasha Devroye, Daniela Tuninetti
2014 J jnl
On the Capacity Region of the Two-user Interference Channel with a Cognitive Relay.
CoRR
Alex Dytso, Stefano Rini, Natasha Devroye, Daniela Tuninetti
2014 J jnl
On the Two-user Interference Channel with Partial Codebook Knowledge at one Receiver.
CoRR
Alex Dytso, Daniela Tuninetti, Natasha Devroye
2013 B conf
On the capacity of interference channels with partial codebook knowledge.
ISIT
Alex Dytso, Natasha Devroye, Daniela Tuninetti
2012 — conf
On the capacity of the symmetric interference channel with a cognitive relay at high SNR.
ICC
Alex Dytso, Natasha Devroye, Daniela Tuninetti
2012 — conf
The sum-capacity of the symmetric linear deterministic Complete K-user Z-Interference Channel.
Allerton Conference
Alex Dytso, Natasha Devroye, Daniela Tuninetti