Alex Dytso

IEEE Trans. Inf. Theory, April, 2024

On 2×2 MIMO Gaussian Channels with a Small Discrete-Time Peak-Power Constraint.

[BibT_eX]

[DOI]

Gerhard Kramer

CoRR, 2024

Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise.

[BibT_eX]

[DOI]

CoRR, 2024

Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels.

[BibT_eX]

[DOI]

Minoh Jeong

CoRR, 2024

Binomial Channel: On the Capacity-Achieving Distribution and Bounds on the Capacity.

[BibT_eX]

[DOI]

CoRR, 2024

Improved Bounds on the Number of Support Points of the Capacity-Achieving Input for Amplitude Constrained Poisson Channels.

[BibT_eX]

[DOI]

Shlomo Shamai

CoRR, 2024

Uniform Distribution on (n-1)-Sphere: Rate-Distortion under Squared Error Distortion.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Meta Derivative Identity for the Conditional Expectation.

[BibT_eX]

[DOI]

Ian Zieder

IEEE Trans. Inf. Theory, July, 2023

A Kullback-Leibler Divergence Variant of the Bayesian Cramér-Rao Bound.

[BibT_eX]

[DOI]

Signal Process., June, 2023

Entropic Central Limit Theorem for Order Statistics.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, April, 2023

Conditional Mean Estimation in Gaussian Noise: A Meta Derivative Identity With Applications.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, March, 2023

Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution.

[BibT_eX]

[DOI]

Antonino Favano

Entropy, 2023

L1 Estimation: On the Optimality of Linear Estimators.

[BibT_eX]

[DOI]

CoRR, 2023

Demystifying the Optimal Performance of Multi-Class Classification.

[BibT_eX]

[DOI]

Minoh Jeong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

L1 Estimation in Gaussian Noise: On the Optimality of Linear Estimators.

[BibT_eX]

[DOI]

Leighton Pate Barnes

Proceedings of the IEEE International Symposium on Information Theory, 2023

When is Mimo Massive in Radar?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

A Lower Bound on the Capacity of $b-\text{Modulated}$ NFDM Systems.

[BibT_eX]

[DOI]

Mohammadamin Baniasadi

Proceedings of the IEEE Global Communications Conference, 2023

2022

Ranking Recovery under Privacy Considerations.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Bayesian Risk With Bregman Loss: A Cramér-Rao Type Bound and Linear Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

High-Noise Asymptotics of the Ziv-Zakai Bound.

[BibT_eX]

[DOI]

Ian Zieder

IEEE Signal Process. Lett., 2022

Improved Information-Theoretic Generalization Bounds for Distributed, Federated, and Iterative Learning.

[BibT_eX]

[DOI]

Leighton Pate Barnes

Harold Vincent Poor

Entropy, 2022

Amplitude-Constrained Gaussian Wiretap Channel: Computation of the Optimal Input Distribution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2022

An MMSE Lower Bound via Poincaré Inequality.

[BibT_eX]

[DOI]

Ian Zieder

Proceedings of the IEEE International Symposium on Information Theory, 2022

On the Ranking Recovery from Noisy Observations up to a Distortion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

On the Capacity Achieving Input of Amplitude Constrained Vector Gaussian Wiretap Channel.

[BibT_eX]

[DOI]

Antonino Favano

Proceedings of the IEEE International Symposium on Information Theory, 2022

Entropic CLT for Order Statistics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning.

[BibT_eX]

[DOI]

Leighton Pate Barnes

Proceedings of the IEEE International Symposium on Information Theory, 2022

Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Consistent Estimation of Conditional Cumulants in the Empirical Bayes Framework (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Properties of the Support of the Capacity-Achieving Distribution of the Amplitude-Constrained Poisson Noise Channel.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

A variational interpretation of the Cramér-Rao bound.

[BibT_eX]

[DOI]

Signal Process., 2021

Finite-Sample Bounds on the Accuracy of Plug-In Estimators of Fisher Information.

[BibT_eX]

[DOI]

Entropy, 2021

Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution.

[BibT_eX]

[DOI]

CoRR, 2021

Scalar Gaussian Wiretap Channel: Properties of the Support Size of the Secrecy-Capacity-Achieving Distribution.

[BibT_eX]

[DOI]

CoRR, 2021

Bounds on the Number of Mass Points of the Capacity Achieving Distribution of the Amplitude Constraint Poisson Noise Channel.

[BibT_eX]

[DOI]

Shlomo Shamai

CoRR, 2021

The Most Informative Order Statistic and its Application to Image Denoising.

[BibT_eX]

[DOI]

CoRR, 2021

An Inequality for Bayesian Bregman Risks With Applications in Directional Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2021

A General Derivative Identity for the Conditional Expectation with Focus on the Exponential Family.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2021

Amplitude Constrained Poisson Noise Channel: Properties of the Capacity-Achieving Input Distribution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2021

Scalar Gaussian Wiretap Channel: Bounds on the Support Size of the Secrecy-Capacity-Achieving Distribution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2021

Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Information Theoretic Approach to L-Estimators.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Robust Power Allocation for Parallel Gaussian Channels With Approximately Gaussian Input Distributions.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

The Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

Estimation in Poisson Noise: Properties of the Conditional Mean Estimator.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

Gradient of Error Probability of $M$-ary Hypothesis Testing Problems Under Multivariate Gaussian Noise.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Recovering Data Permutations From Noisy Observations: The Linear Regime.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Recovering Data Permutation from Noisy Observations: The Linear Regime.

[BibT_eX]

[DOI]

CoRR, 2020

Nonparametric Estimation of the Fisher Information and Its Applications.

[BibT_eX]

[DOI]

CoRR, 2020

Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning.

[BibT_eX]

[DOI]

Semih Yagli

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

A Class of Lower Bounds for Bayesian Risk with a Bregman Loss.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

On the Distribution of the Conditional Mean Estimator in Gaussian Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2020

Measuring Dependencies of Order Statistics: An Information Theoretic Perspective.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2020

Recovering Structure of Noisy Data through Hypothesis Testing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

On Nonparametric Estimation of the Fisher Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

An Empirical Bayes Approach to Partially Labeled and Shuffled Data Sets.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

MMSE Bounds for Additive Noise Channels Under Kullback-Leibler Divergence Constraints on the Input Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Sum-Capacity of the MIMO Many-Access Gaussian Noise Channel.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2019

On Estimating the Norm of a Gaussian Vector Under Additive White Gaussian Noise.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

Amplitude Constrained MIMO Channels: Properties of Optimal Input Distributions and Bounds on the Capacity.

[BibT_eX]

[DOI]

Mario Goldenbaum

Shlomo Shamai (Shitz)

Entropy, 2019

Some Aspects of Totally Positive Kernels Useful in Information Theory.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

Tight Bounds on the Weighted Sum of MMSEs with Applications in Distributed Estimation.

[BibT_eX]

[DOI]

Kyatsandra G. Nagananda

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Estimation of Bounded Normal Mean: An Alternative Proof for the Discreteness of the Least Favorable Prior.

[BibT_eX]

[DOI]

Semih Yagli

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Properties of the Conditional Mean Estimator in Poisson Noise.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

An Upper Bound on the Number of Mass Points in the Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

On Estimation under Noisy Order Statistics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Sum-Capacity of the MIMO Gaussian Many-Access Channel.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Robust Waterfilling for Approximately Gaussian Inputs.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

On Stability of Linear Estimators in Poisson Noise.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

On the Minimum Mean pth Error in Gaussian Noise Channels and Its Applications.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

On Communication Through a Gaussian Channel With an MMSE Disturbance Constraint.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

Differentiated Service-Aware Group Paging for Massive Machine-Type Communication.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2018

On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective.

[BibT_eX]

[DOI]

Shlomo Shamai

CoRR, 2018

A Differential Privacy Mechanism Design Under Matrix-Valued Query.

[BibT_eX]

[DOI]

CoRR, 2018

Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Capacity of the Vector Gaussian Channel in the Small Amplitude Regime.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2018

Optimal Inputs for Some Classes of Degraded Wiretap Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE Information Theory Workshop, 2018

Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels.

[BibT_eX]

[DOI]

Galen Reeves

Henry D. Pfister

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

On the Structure of the Least Favorable Prior Distributions.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Group Paging for Massive Machine-Type Communications with Diverse Access Requirements.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2018

When are discrete channel inputs optimal? - Optimization techniques and some new results.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

MVG Mechanism: Differential Privacy under Matrix-Valued Query.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

A View of Information-Estimation Relations in Gaussian Networks.

[BibT_eX]

[DOI]

Ronit Bustin

Shlomo Shamai (Shitz)

Entropy, 2017

Comment on the Equality Condition for the I-MMSE Proof of Entropy Power Inequality.

[BibT_eX]

[DOI]

CoRR, 2017

A generalized Ozarow-Wyner capacity bound with applications.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

On additive channels with generalized Gaussian noise.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Upper and Lower Bounds on the Capacity of Amplitude-Constrained MIMO Channels.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Communications Conference, 2017

On the equality condition for the I-MMSE proof of the entropy power inequality.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Interference as Noise: Friend or Foe?

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2016

On the applications of the minimum mean p-th error (MMPE) to information theoretic quantities.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Information Theory Workshop, 2016

On communications through a Gaussian noise channel with an MMSE disturbance constraint.

[BibT_eX]

[DOI]

Proceedings of the 2016 Information Theory and Applications Workshop, 2016

On the minimum mean p-th error in Gaussian noise channels and its applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

On the Two-User Interference Channel With Lack of Knowledge of the Interference Codebook at One Receiver.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

The Gaussian Interference Channel with lack of codebook knowledge at one receiver: Symmetric capacity to within a gap with a PAM input.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Information Theory Workshop, 2015

i.i.d. mixed inputs and treating interference as noise are gDoF optimal for the symmetric Gaussian two-user interference channel.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

Nearly optimal non-Gaussian codes for the Gaussian interference channel.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

On the Capacity Region of the Two-User Interference Channel With a Cognitive Relay.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2014

On the Two-user Interference Channel with Partial Codebook Knowledge at one Receiver.

[BibT_eX]

[DOI]

CoRR, 2014

On discrete alphabets for the two-user Gaussian interference channel with one receiver lacking knowledge of the interfering codebook.

[BibT_eX]

[DOI]

Proceedings of the 2014 Information Theory and Applications Workshop, 2014

On Gaussian interference channels with mixed gaussian and discrete inputs.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

On the capacity of interference channels with partial codebook knowledge.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012

On the capacity of the symmetric interference channel with a cognitive relay at high SNR.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2012

The sum-capacity of the symmetric linear deterministic Complete K-user Z-Interference Channel.

[BibT_eX]

[DOI]