Alex Dytso
Orcid: 0000-0003-0625-5306
According to our database1,
Alex Dytso
authored at least 113 papers
between 2012 and 2024.
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Bibliography
2024
IEEE Trans. Inf. Theory, November, 2024
IEEE Trans. Inf. Theory, April, 2024
CoRR, 2024
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels.
Proceedings of the IEEE International Symposium on Information Theory, 2024
Uniform Distribution on ($n - 1$)-Sphere: Rate-Distortion Under Squared Error Distortion.
Proceedings of the IEEE International Symposium on Information Theory, 2024
On $2\times 2$ MIMO Gaussian Channels with a Small Discrete-Time Peak-Power Constraint.
Proceedings of the IEEE International Symposium on Information Theory, 2024
Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise.
Proceedings of the IEEE International Symposium on Information Theory, 2024
Proceedings of the IEEE International Symposium on Information Theory, 2024
Improved Bounds on the Number of Support Points of the Capacity-Achieving Input for Amplitude Constrained Poisson Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2024
Capacity-Achieving Input of Non-Coherent Rayleigh Fading Channels: Bounds on the Number of Mass Points.
Proceedings of the IEEE International Conference on Communications, 2024
2023
IEEE Trans. Inf. Theory, July, 2023
Signal Process., June, 2023
IEEE Trans. Inf. Theory, April, 2023
Conditional Mean Estimation in Gaussian Noise: A Meta Derivative Identity With Applications.
IEEE Trans. Inf. Theory, March, 2023
Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution.
Entropy, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
IEEE Trans. Inf. Theory, 2022
Improved Information-Theoretic Generalization Bounds for Distributed, Federated, and Iterative Learning.
Entropy, 2022
Amplitude-Constrained Gaussian Wiretap Channel: Computation of the Optimal Input Distribution.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
On the Capacity Achieving Input of Amplitude Constrained Vector Gaussian Wiretap Channel.
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2022
Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution.
Proceedings of the IEEE International Conference on Communications, 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Consistent Estimation of Conditional Cumulants in the Empirical Bayes Framework (Extended Abstract).
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.
IEEE Trans. Inf. Theory, 2021
Entropy, 2021
Scalar Gaussian Wiretap Channel with Peak Amplitude Constraint: Numerical Computation of the Optimal Input Distribution.
CoRR, 2021
Scalar Gaussian Wiretap Channel: Properties of the Support Size of the Secrecy-Capacity-Achieving Distribution.
CoRR, 2021
Bounds on the Number of Mass Points of the Capacity Achieving Distribution of the Amplitude Constraint Poisson Noise Channel.
CoRR, 2021
CoRR, 2021
An Inequality for Bayesian Bregman Risks With Applications in Directional Estimation.
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.
Proceedings of the IEEE Information Theory Workshop, 2021
Amplitude Constrained Poisson Noise Channel: Properties of the Capacity-Achieving Input Distribution.
Proceedings of the IEEE Information Theory Workshop, 2021
Scalar Gaussian Wiretap Channel: Bounds on the Support Size of the Secrecy-Capacity-Achieving Distribution.
Proceedings of the IEEE Information Theory Workshop, 2021
Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics.
Proceedings of the IEEE International Symposium on Information Theory, 2021
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.
IEEE Trans. Wirel. Commun., 2020
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.
IEEE Trans. Inf. Theory, 2020
IEEE Trans. Inf. Theory, 2020
Gradient of Error Probability of $M$-ary Hypothesis Testing Problems Under Multivariate Gaussian Noise.
IEEE Signal Process. Lett., 2020
IEEE J. Sel. Areas Inf. Theory, 2020
Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020
Proceedings of the IEEE Information Theory Workshop, 2020
Proceedings of the IEEE Information Theory Workshop, 2020
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.
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution.
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.
IEEE Trans. Signal Process., 2019
On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective.
IEEE Trans. Inf. Theory, 2019
IEEE Trans. Commun., 2019
IEEE Signal Process. Lett., 2019
Amplitude Constrained MIMO Channels: Properties of Optimal Input Distributions and Bounds on the Capacity.
Entropy, 2019
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.
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.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019
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.
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
On the Minimum Mean <i>p</i>th Error in Gaussian Noise Channels and Its Applications.
IEEE Trans. Inf. Theory, 2018
IEEE Trans. Inf. Theory, 2018
IEEE Trans. Commun., 2018
On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective.
CoRR, 2018
Tight MMSE Bounds for the AGN Channel Under KL Divergence Constraints on the Input Distribution.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the IEEE Information Theory Workshop, 2018
Proceedings of the IEEE Information Theory Workshop, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Group Paging for Massive Machine-Type Communications with Diverse Access Requirements.
Proceedings of the IEEE Global Communications Conference, 2018
When are discrete channel inputs optimal? - Optimization techniques and some new results.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018
2017
CoRR, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
On the applications of the minimum mean p-th error (MMPE) to information theoretic quantities.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016
On communications through a Gaussian noise channel with an MMSE disturbance constraint.
Proceedings of the 2016 Information Theory and Applications Workshop, 2016
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.
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.
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.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
IEEE Trans. Wirel. Commun., 2014
On the Two-user Interference Channel with Partial Codebook Knowledge at one Receiver.
CoRR, 2014
On discrete alphabets for the two-user Gaussian interference channel with one receiver lacking knowledge of the interfering codebook.
Proceedings of the 2014 Information Theory and Applications Workshop, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
2013
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.
Proceedings of IEEE International Conference on Communications, 2012
The sum-capacity of the symmetric linear deterministic Complete K-user Z-Interference Channel.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012