The sum-capacity of the symmetric linear deterministic Complete K-user Z-Interference Channel. - Alex Dytso; Natasha Devroye; Daniela Tuninetti (Allerton Conference, 2012)

On the capacity of the symmetric interference channel with a cognitive relay at high SNR. - Alex Dytso; Natasha Devroye; Daniela Tuninetti (ICC, 2012)

On the capacity of interference channels with partial codebook knowledge. - Alex Dytso; Natasha Devroye; Daniela Tuninetti (ISIT, 2013)

On Gaussian interference channels with mixed gaussian and discrete inputs. - Alex Dytso; Natasha Devroye; Daniela Tuninetti (ISIT, 2014)

On discrete alphabets for the two-user Gaussian interference channel with one receiver lacking knowledge of the interfering codebook. - Alex Dytso; Daniela Tuninetti; Natasha Devroye (ITA, 2014)

On the Two-user Interference Channel with Partial Codebook Knowledge at one Receiver. - Alex Dytso; Daniela Tuninetti; Natasha Devroye (CoRR, 2014)

On the Capacity Region of the Two-User Interference Channel With a Cognitive Relay. - Alex Dytso; Stefano Rini; Natasha Devroye; Daniela Tuninetti (IEEE Trans. Wirel. Commun., 2014)

Nearly optimal non-Gaussian codes for the Gaussian interference channel. - Alex Dytso; Daniela Tuninetti; Natasha Devroye (ACSSC, 2015)

i.i.d. mixed inputs and treating interference as noise are gDoF optimal for the symmetric Gaussian two-user interference channel. - Alex Dytso; Daniela Tuninetti; Natasha Devroye (ISIT, 2015)

The Gaussian Interference Channel with lack of codebook knowledge at one receiver: Symmetric capacity to within a gap with a PAM input. - Alex Dytso; Daniela Tuninetti; Natasha Devroye (ITW, 2015)

On the Two-User Interference Channel With Lack of Knowledge of the Interference Codebook at One Receiver. - Alex Dytso; Daniela Tuninetti; Natasha Devroye (IEEE Trans. Inf. Theory, 2015)

On the minimum mean p-th error in Gaussian noise channels and its applications. - Alex Dytso; Ronit Bustin; Daniela Tuninetti; Natasha Devroye; H. Vincent Poor; Shlomo Shamai (ISIT, 2016)

On communications through a Gaussian noise channel with an MMSE disturbance constraint. - Alex Dytso; Ronit Bustin; Daniela Tuninetti; Natasha Devroye; H. Vincent Poor; Shlomo Shamai Shitz (ITA, 2016)

On the applications of the minimum mean p-th error (MMPE) to information theoretic quantities. - Alex Dytso; Ronit Bustin; Daniela Tuninetti; Natasha Devroye; H. Vincent Poor; Shlomo Shamai (ITW, 2016)

Interference as Noise: Friend or Foe? - Alex Dytso; Daniela Tuninetti; Natasha Devroye (IEEE Trans. Inf. Theory, 2016)

On the equality condition for the I-MMSE proof of the entropy power inequality. - Alex Dytso; Ronit Bustin; H. Vincent Poor; Shlomo Shamai Shitz (Allerton, 2017)

Upper and Lower Bounds on the Capacity of Amplitude-Constrained MIMO Channels. - Alex Dytso; Mario Goldenbaum; Shlomo Shamai; H. Vincent Poor (GLOBECOM, 2017)

On additive channels with generalized Gaussian noise. - Alex Dytso; Ronit Bustin; H. Vincent Poor; Shlomo Shamai Shitz (ISIT, 2017)

A generalized Ozarow-Wyner capacity bound with applications. - Alex Dytso; Mario Goldenbaum; H. Vincent Poor; Shlomo Shamai Shitz (ISIT, 2017)

Comment on the Equality Condition for the I-MMSE Proof of Entropy Power Inequality. - Alex Dytso; Ronit Bustin; H. Vincent Poor; Shlomo Shamai (CoRR, 2017)

A View of Information-Estimation Relations in Gaussian Networks. - Alex Dytso; Ronit Bustin; H. Vincent Poor; Shlomo Shamai (Shitz) (Entropy, 2017)

MVG Mechanism: Differential Privacy under Matrix-Valued Query. - Thee Chanyaswad; Alex Dytso; H. Vincent Poor; Prateek Mittal (CCS, 2018)

When are discrete channel inputs optimal? - Optimization techniques and some new results. - Alex Dytso; Mario Goldenbaum; H. Vincent Poor; Shlomo Shamai Shitz (CISS, 2018)

Group Paging for Massive Machine-Type Communications with Diverse Access Requirements. - Wei Cao 003; Alex Dytso; Gang Feng 004; H. Vincent Poor; Zhi Chen 002 (GLOBECOM, 2018)

On the Structure of the Least Favorable Prior Distributions. - Alex Dytso; H. Vincent Poor; Ronit Bustin; Shlomo Shamai (ISIT, 2018)

Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels. - Galen Reeves; Henry D. Pfister; Alex Dytso (ISIT, 2018)

Optimal Inputs for Some Classes of Degraded Wiretap Channels. - Alex Dytso; Malcolm Egan; Samir Medina Perlaza; H. Vincent Poor; Shlomo Shamai Shitz (ITW, 2018)

Capacity of the Vector Gaussian Channel in the Small Amplitude Regime. - Alex Dytso; H. Vincent Poor; Shlomo Shamai Shitz (ITW, 2018)

Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution. - Michael Fauß; Abdelhak M. Zoubir; Alex Dytso; H. Vincent Poor (SSP, 2018)

A Differential Privacy Mechanism Design Under Matrix-Valued Query. - Thee Chanyaswad; Alex Dytso; H. Vincent Poor; Prateek Mittal (CoRR, 2018)

On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective. - Alex Dytso; H. Vincent Poor; Shlomo Shamai (CoRR, 2018)

Differentiated Service-Aware Group Paging for Massive Machine-Type Communication. - Wei Cao 003; Alex Dytso; Gang Feng 004; H. Vincent Poor; Zhi Chen 002 (IEEE Trans. Commun., 2018)

On Communication Through a Gaussian Channel With an MMSE Disturbance Constraint. - Alex Dytso; Ronit Bustin; Daniela Tuninetti; Natasha Devroye; H. Vincent Poor; Shlomo Shamai Shitz (IEEE Trans. Inf. Theory, 2018)

On the Minimum Mean pth Error in Gaussian Noise Channels and Its Applications. - Alex Dytso; Ronit Bustin; Daniela Tuninetti; Natasha Devroye; H. Vincent Poor; Shlomo Shamai Shitz (IEEE Trans. Inf. Theory, 2018)

On Stability of Linear Estimators in Poisson Noise. - Alex Dytso; H. Vincent Poor (ACSSC, 2019)

Robust Waterfilling for Approximately Gaussian Inputs. - Wei Cao 003; Alex Dytso; Michael Fauss; Gang Feng 004; H. Vincent Poor (GLOBECOM, 2019)

Sum-Capacity of the MIMO Gaussian Many-Access Channel. - Wei Cao 003; Alex Dytso; Yanina Shkel; Gang Feng 004; H. Vincent Poor (ICC, 2019)

On Estimation under Noisy Order Statistics. - Alex Dytso; Martina Cardone; Mishfad S. Veedu; H. Vincent Poor (ISIT, 2019)

An Upper Bound on the Number of Mass Points in the Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel. - Semih Yagli; Alex Dytso; H. Vincent Poor; Shlomo Shamai Shitz (ISIT, 2019)

Properties of the Conditional Mean Estimator in Poisson Noise. - Alex Dytso; H. Vincent Poor (ITW, 2019)

Estimation of Bounded Normal Mean: An Alternative Proof for the Discreteness of the Least Favorable Prior. - Semih Yagli; Alex Dytso; H. Vincent Poor (ITW, 2019)

Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation. - Michael Fauß; Abdelhak M. Zoubir; Alex Dytso; H. Vincent Poor; Kyatsandra G. Nagananda (SPAWC, 2019)

Some Aspects of Totally Positive Kernels Useful in Information Theory. - Semih Yagli; Alex Dytso; H. Vincent Poor; Shlomo Shamai Shitz (WCNC Workshops, 2019)

Amplitude Constrained MIMO Channels: Properties of Optimal Input Distributions and Bounds on the Capacity. - Alex Dytso; Mario Goldenbaum; H. Vincent Poor; Shlomo Shamai (Shitz) (Entropy, 2019)

On Estimating the Norm of a Gaussian Vector Under Additive White Gaussian Noise. - Alex Dytso; Martina Cardone; H. Vincent Poor (IEEE Signal Process. Lett., 2019)

Sum-Capacity of the MIMO Many-Access Gaussian Noise Channel. - Wei Cao 003; Alex Dytso; Yanina Shkel; Gang Feng 004; H. Vincent Poor (IEEE Trans. Commun., 2019)

On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective. - Alex Dytso; Mert Al; H. Vincent Poor; Shlomo Shamai Shitz (IEEE Trans. Inf. Theory, 2019)

MMSE Bounds for Additive Noise Channels Under Kullback-Leibler Divergence Constraints on the Input Distribution. - Alex Dytso; Michael Fauß; Abdelhak M. Zoubir; H. Vincent Poor (IEEE Trans. Signal Process., 2019)

MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution. - Michael Fauß; H. Vincent Poor; Alex Dytso (ACSSC, 2020)

An Empirical Bayes Approach to Partially Labeled and Shuffled Data Sets. - Alex Dytso; H. Vincent Poor (ICASSP, 2020)

On Nonparametric Estimation of the Fisher Information. - Wei Cao 003; Alex Dytso; Michael Fauß; H. Vincent Poor; Gang Feng 004 (ISIT, 2020)

A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications. - Alex Dytso; H. Vincent Poor; Shlomo Shamai Shitz (ISIT, 2020)

Recovering Structure of Noisy Data through Hypothesis Testing. - Min-Oh Jeong; Alex Dytso; Martina Cardone; H. Vincent Poor (ISIT, 2020)

Measuring Dependencies of Order Statistics: An Information Theoretic Perspective. - Alex Dytso; Martina Cardone; Cynthia Rush (ITW, 2020)

On the Distribution of the Conditional Mean Estimator in Gaussian Noise. - Alex Dytso; H. Vincent Poor; Shlomo Shamai Shitz (ITW, 2020)

A Class of Lower Bounds for Bayesian Risk with a Bregman Loss. - Alex Dytso; Michael Fauß; H. Vincent Poor (SPAWC, 2020)

Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning. - Semih Yagli; Alex Dytso; H. Vincent Poor (SPAWC, 2020)

Nonparametric Estimation of the Fisher Information and Its Applications. - Wei Cao 003; Alex Dytso; Michael Fauß; H. Vincent Poor; Gang Feng 004 (CoRR, 2020)

Recovering Data Permutation from Noisy Observations: The Linear Regime. - Min-Oh Jeong; Alex Dytso; Martina Cardone; H. Vincent Poor (CoRR, 2020)

Recovering Data Permutations From Noisy Observations: The Linear Regime. - Min-Oh Jeong; Alex Dytso; Martina Cardone; H. Vincent Poor (IEEE J. Sel. Areas Inf. Theory, 2020)

Gradient of Error Probability of $M$-ary Hypothesis Testing Problems Under Multivariate Gaussian Noise. - Min-Oh Jeong; Alex Dytso; Martina Cardone (IEEE Signal Process. Lett., 2020)

Estimation in Poisson Noise: Properties of the Conditional Mean Estimator. - Alex Dytso; H. Vincent Poor (IEEE Trans. Inf. Theory, 2020)

The Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points. - Alex Dytso; Semih Yagli; H. Vincent Poor; Shlomo Shamai Shitz (IEEE Trans. Inf. Theory, 2020)

The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator. - Alex Dytso; Michael Fauß; H. Vincent Poor (IEEE Trans. Signal Process., 2020)

Robust Power Allocation for Parallel Gaussian Channels With Approximately Gaussian Input Distributions. - Wei Cao 003; Alex Dytso; Michael Fauß; Gang Feng 004; H. Vincent Poor (IEEE Trans. Wirel. Commun., 2020)

Information Theoretic Approach to L-Estimators. - Alex Dytso; Martina Cardone; Cynthia Rush (ACSCC, 2021)

Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics. - Min-Oh Jeong; Alex Dytso; Martina Cardone (ISIT, 2021)

Scalar Gaussian Wiretap Channel: Bounds on the Support Size of the Secrecy-Capacity-Achieving Distribution. - Luca Barletta; Alex Dytso (ITW, 2021)

Amplitude Constrained Poisson Noise Channel: Properties of the Capacity-Achieving Input Distribution. - Alex Dytso; Luca Barletta; Shlomo Shamai Shitz (ITW, 2021)

A General Derivative Identity for the Conditional Expectation with Focus on the Exponential Family. - Alex Dytso; Martina Cardone (ITW, 2021)

An Inequality for Bayesian Bregman Risks With Applications in Directional Estimation. - Michael Fauß; Alex Dytso; H. Vincent Poor (MFI, 2021)

The Most Informative Order Statistic and its Application to Image Denoising. - Alex Dytso; Martina Cardone; Cynthia Rush (CoRR, 2021)

Bounds on the Number of Mass Points of the Capacity Achieving Distribution of the Amplitude Constraint Poisson Noise Channel. - Alex Dytso; Luca Barletta; Shlomo Shamai (CoRR, 2021)

Scalar Gaussian Wiretap Channel: Properties of the Support Size of the Secrecy-Capacity-Achieving Distribution. - Luca Barletta; Alex Dytso (CoRR, 2021)

Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution. - Luca Barletta; Alex Dytso (CoRR, 2021)

Finite-Sample Bounds on the Accuracy of Plug-In Estimators of Fisher Information. - Wei Cao 003; Alex Dytso; Michael Fauß; H. Vincent Poor (Entropy, 2021)

A variational interpretation of the Cramér-Rao bound. - Michael Fauß; Alex Dytso; H. Vincent Poor (Signal Process., 2021)

Properties of the Support of the Capacity-Achieving Distribution of the Amplitude-Constrained Poisson Noise Channel. - Alex Dytso; Luca Barletta; Shlomo Shamai Shitz (IEEE Trans. Inf. Theory, 2021)

Consistent Estimation of Conditional Cumulants in the Empirical Bayes Framework (Extended Abstract). - Tang Liu; Alex Dytso; H. Vincent Poor; Shlomo Shamai (IEEECONF, 2022)

A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence. - Alex R. Dytso; Mario Goldenbaum; H. Vincent Poor; Shlomo Shamai (AISTATS, 2022)

Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution. - Luca Barletta; Alex Dytso (ICC, 2022)

Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning. - Leighton Pate Barnes; Alex Dytso; H. Vincent Poor (ISIT, 2022)

Entropic CLT for Order Statistics. - Martina Cardone; Alex Dytso; Cynthia Rush (ISIT, 2022)

On the Capacity Achieving Input of Amplitude Constrained Vector Gaussian Wiretap Channel. - Antonino Favano; Luca Barletta; Alex Dytso (ISIT, 2022)

On the Ranking Recovery from Noisy Observations up to a Distortion. - Min-Oh Jeong; Martina Cardone; Alex Dytso (ISIT, 2022)

An MMSE Lower Bound via Poincaré Inequality. - Ian Zieder; Alex Dytso; Martina Cardone (ISIT, 2022)

Amplitude-Constrained Gaussian Wiretap Channel: Computation of the Optimal Input Distribution. - Luca Barletta; Alex Dytso (MeditCom, 2022)

Improved Information-Theoretic Generalization Bounds for Distributed, Federated, and Iterative Learning. - Leighton Pate Barnes; Alex Dytso; Harold Vincent Poor (Entropy, 2022)

High-Noise Asymptotics of the Ziv-Zakai Bound. - Alex Dytso; Martina Cardone; Ian Zieder (IEEE Signal Process. Lett., 2022)

Bayesian Risk With Bregman Loss: A Cramér-Rao Type Bound and Linear Estimation. - Alex Dytso; Michael Fauß; H. Vincent Poor (IEEE Trans. Inf. Theory, 2022)

Ranking Recovery under Privacy Considerations. - Min-Oh Jeong; Alex Dytso; Martina Cardone (Trans. Mach. Learn. Res., 2022)

A Lower Bound on the Capacity of $b- text{Modulated}$ NFDM Systems. - Mohammadamin Baniasadi; Yu Chen 044; Alex Dytso; Luca Barletta; Majid Safari (GLOBECOM, 2023)

When is Mimo Massive in Radar? - Jaimin Shah; Martina Cardone; Alex Dytso; Cynthia Rush (ICASSP, 2023)

L1 Estimation in Gaussian Noise: On the Optimality of Linear Estimators. - Leighton Pate Barnes; Alex Dytso; H. Vincent Poor (ISIT, 2023)

Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs. - Min-Oh Jeong; Alex Dytso; Martina Cardone (ISIT, 2023)

Demystifying the Optimal Performance of Multi-Class Classification. - Minoh Jeong; Martina Cardone; Alex Dytso (NeurIPS, 2023)

Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution. - Antonino Favano; Luca Barletta; Alex Dytso (Entropy, 2023)

Conditional Mean Estimation in Gaussian Noise: A Meta Derivative Identity With Applications. - Alex Dytso; H. Vincent Poor; Shlomo Shamai Shitz (IEEE Trans. Inf. Theory, 2023)

Entropic Central Limit Theorem for Order Statistics. - Martina Cardone; Alex Dytso; Cynthia Rush (IEEE Trans. Inf. Theory, 2023)

A Kullback-Leibler Divergence Variant of the Bayesian Cramér-Rao Bound. - Michael Fauß; Alex Dytso; H. Vincent Poor (Signal Process., 2023)

Meta Derivative Identity for the Conditional Expectation. - Alex Dytso; Martina Cardone; Ian Zieder (IEEE Trans. Inf. Theory, 2023)

Capacity-Achieving Input of Non-Coherent Rayleigh Fading Channels: Bounds on the Number of Mass Points. - Antonino Favano; Luca Barletta; Alex Dytso; Gerhard Kramer (ICC, 2024)

Improved Bounds on the Number of Support Points of the Capacity-Achieving Input for Amplitude Constrained Poisson Channels. - Luca Barletta; Alex Dytso; Shlomo Shamai (ISIT, 2024)

Binomial Channel: On the Capacity-Achieving Distribution and Bounds on the Capacity. - Luca Barletta; Ian Zieder; Antonino Favano; Alex Dytso (ISIT, 2024)

Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise. - Leighton Pate Barnes; Alex Dytso; Jingbo Liu; H. Vincent Poor (ISIT, 2024)

On $2 times 2$ MIMO Gaussian Channels with a Small Discrete-Time Peak-Power Constraint. - Alex Dytso; Luca Barletta; Gerhard Kramer (ISIT, 2024)

Uniform Distribution on ($n - 1$)-Sphere: Rate-Distortion Under Squared Error Distortion. - Alex Dytso; Martina Cardone (ISIT, 2024)

Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels. - Minoh Jeong; Martina Cardone; Alex Dytso (ISIT, 2024)

Properties of the Capacity-Achieving Input of Non-Coherent Rayleigh Fading Channels. - Antonino Favano; Luca Barletta; Alex Dytso; Gerhard Kranner (WCNC, 2024)

On 2×2 MIMO Gaussian Channels with a Small Discrete-Time Peak-Power Constraint. - Alex Dytso; Luca Barletta; Gerhard Kramer (CoRR, 2024)

Retrieving Data Permutations From Noisy Observations: Asymptotics. - Minoh Jeong; Alex Dytso; Martina Cardone (IEEE Trans. Inf. Theory, 2024)

L1 Estimation: On the Optimality of Linear Estimators. - Leighton Pate Barnes; Alex Dytso; Jingbo Liu; H. Vincent Poor (IEEE Trans. Inf. Theory, 2024)

Generalized Linear Models with 1-Bit Measurements: Asymptotics of the Maximum Likelihood Estimator. - Jaimin Shah; Martina Cardone; Cynthia Rush; Alex Dytso (ICASSP, 2025)

Estimation Error: Distribution and Pointwise Limits. - Luca Barletta; Alex Dytso; Shlomo Shamai (CoRR, 2025)

Lossy Source Coding with Focal Loss. - Alex Dytso; Martina Cardone (CoRR, 2025)

A Comprehensive Study on Ziv-Zakai Lower Bounds on the MMSE. - Minoh Jeong; Alex Dytso; Martina Cardone (IEEE Trans. Inf. Theory, 2025)

Linearity-Inducing Priors for Poisson Parameter Estimation Under L1 Loss. - Leighton Pate Barnes; Alex Dytso; H. Vincent Poor (CoRR, 2025)

Non-Coherent Rayleigh Fading Channels: Properties of the Capacity-Achieving Input. - Antonino Favano; Luca Barletta; Alex Dytso; Gerhard Kramer (IEEE Trans. Inf. Theory, 2025)