Alex Dytso

According to our database1, Alex Dytso authored at least 61 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Robust Power Allocation for Parallel Gaussian Channels With Approximately Gaussian Input Distributions.
IEEE Trans. Wirel. Commun., 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

Estimation in Poisson Noise: Properties of the Conditional Mean Estimator.
IEEE Trans. Inf. Theory, 2020

Measuring Dependencies of Order Statistics: An Information Theoretic Perspective.
CoRR, 2020

MMSE Bounds Under Kullback-Leibler Divergence Constraints on the Joint Input-Output Distribution.
CoRR, 2020

Recovering Data Permutation from Noisy Observations: The Linear Regime.
CoRR, 2020

Nonparametric Estimation of the Fisher Information and Its Applications.
CoRR, 2020

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

A Class of Lower Bounds for Bayesian Risk with a Bregman Loss.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Recovering Structure of Noisy Data through Hypothesis Testing.
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

On Nonparametric Estimation of the Fisher Information.
Proceedings of the IEEE International Symposium on Information Theory, 2020

An Empirical Bayes Approach to Partially Labeled and Shuffled Data Sets.
Proceedings of the 2020 IEEE International Conference on Acoustics, 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

Sum-Capacity of the MIMO Many-Access Gaussian Noise Channel.
IEEE Trans. Commun., 2019

On Estimating the Norm of a Gaussian Vector Under Additive White Gaussian Noise.
IEEE Signal Process. Lett., 2019

Amplitude Constrained MIMO Channels: Properties of Optimal Input Distributions and Bounds on the Capacity.
Entropy, 2019

Some Aspects of Totally Positive Kernels Useful in Information Theory.
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

Properties of the Conditional Mean Estimator in Poisson Noise.
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

On Estimation under Noisy Order Statistics.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Sum-Capacity of the MIMO Gaussian Many-Access Channel.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Robust Waterfilling for Approximately Gaussian Inputs.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
On the Minimum Mean <i>p</i>th Error in Gaussian Noise Channels and Its Applications.
IEEE Trans. Inf. Theory, 2018

On Communication Through a Gaussian Channel With an MMSE Disturbance Constraint.
IEEE Trans. Inf. Theory, 2018

Differentiated Service-Aware Group Paging for Massive Machine-Type Communication.
IEEE Trans. Commun., 2018

On the Capacity of the Peak Power Constrained Vector Gaussian Channel: An Estimation Theoretic Perspective.
CoRR, 2018

A Differential Privacy Mechanism Design Under Matrix-Valued Query.
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

Capacity of the Vector Gaussian Channel in the Small Amplitude Regime.
Proceedings of the IEEE Information Theory Workshop, 2018

Optimal Inputs for Some Classes of Degraded Wiretap Channels.
Proceedings of the IEEE Information Theory Workshop, 2018

Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

On the Structure of the Least Favorable Prior Distributions.
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

MVG Mechanism: Differential Privacy under Matrix-Valued Query.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017
A View of Information-Estimation Relations in Gaussian Networks.
Entropy, 2017

Comment on the Equality Condition for the I-MMSE Proof of Entropy Power Inequality.
CoRR, 2017

A generalized Ozarow-Wyner capacity bound with applications.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

On additive channels with generalized Gaussian noise.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Upper and Lower Bounds on the Capacity of Amplitude-Constrained MIMO Channels.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

On the equality condition for the I-MMSE proof of the entropy power inequality.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Interference as Noise: Friend or Foe?
IEEE Trans. Inf. Theory, 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

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

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

On Gaussian interference channels with mixed gaussian and discrete inputs.
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.
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


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