Alex Dytso
Alex Dytso
Assistant Professor
Department of Electrical and Computer Engineering
New Jersey Institute of Technology
Contact
University Heights
Newark, NJ 07102
Email: alex.dytso@njit.edu
Short Bio
I am an Assistant Professor with the
Electrical and Computer Engineering Department, New Jersey Institute of Technology (NJIT).
From September 2016 to August 2020, I was a Postdoctoral Researcher in the Department of Electrical Engineering at Princeton University, working under the supervision of Professor H. Vincent Poor.
In 2018 I was a Lecturer in the Department of Operations Research & Financial Engineering at Princeton University.
I received my Ph.D. from the Department of Electrical and Computer Engineering at the University of Illinois at Chicago (UIC). I was lucky to have Professor Daniela Tuninetti and Professor Natasha Devroye as my advisors.
Research Interests
Estimation Theory
Information Theory
Wireless Communications
Optimization Theory
Openings
I am currently looking for Ph.D. students to join my group. If you are interested, please send me an email.
News
May 2021: Recent arxiv submissions:
April 2021:
February 2021: Two of our papers will be presented at the 2020 IEEE Information Theory Workshop
A. Dytso, M. Cardone , C. Rush, ‘‘ Measuring Dependencies of Order Statistics: An Information Theoretic Perspective’’
A. Dytso, H. V. Poor, S. Shamai (Shitz) ‘‘On the Distribution of the Conditional Mean Estimator in Gaussian Noise"
November 2020: Our paper on ‘‘Recovering Data Permutations from Noisy Observations: The Linear Regime" has been accepted to the Journal on Selected Areas in Information Theory (JSAIT). This is JSAIT's third issue, which focuses on statistical estimation and inference.
September 2020: Recent arxiv submissions:
June 2020: Recent arxiv submissions:
May 2020: Recent arxiv submissions:
April 2020:
Two of our papers will be presented at the 21st IEEE International Workshop On Signal Processing Advances in Wireless Communications
A. Dytso, M. Fauß, H. V. Poor, ‘‘A Class of Lower Bounds for Bayesian Risk with a Bregman Loss’’
S. Yagli, A. Dytso, H. V. Poor, ‘‘InformationTheoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning"
Three of our papers will be presennted at the International Symposium on Information Theory (ISIT)
W. Cao, A. Dytso, M. Fauß, H. V. Poor, ‘‘On Nonparametric Estimation of the Fisher Information"
M. Jeong, A. Dytso, M. Cardone, H. V. Poor, ‘‘Recovering Structure of Noisy Data through Hypothesis Testing"
A. Dytso, H. V. Poor, Shlomo Shamai, ‘‘A General Derivative Identity for the Conditional Mean Estimator in Gaussian Noise and Some Applications"
See our recent submission to arXiv on ‘‘The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator."
March 2020: The following paper has been accepted for publication and is to appear in IEEE Transactions on Information Theory: A. Dytso, H. V. Poor, “Estimation in Poisson Noise: Properties of The Conditional Mean Estimator.”
February 2020:
Novermber 2019:
October 2019: Two of our journal papers have been accepted for publication:
A. Dytso, S. Yagli, H. V. Poor, and S. Shamai (Shitz), “The Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel: An Upper Bound on the Number of Mass Points,” to appear in IEEE Transactions on Information Theory.
A. Dytso, M. Fauß, A. M. Zoubir, H. V. Poor, “MMSE Bounds for Additive Noise Channels Under KullbackLeibler Divergence Constraints on the Input Distribution,” to appear in IEEE Transactions on Signal Processing.
September 2019: I gave a talk at Bell Labs at Crawford Hill on Optimization over Probability Spaces. Hosted by Ori Shental. Crawford Hill is home to Holmdel Horn antenna (i.e., 'Big Bang’ antenna). Photo
August 2019: Two of our papers have been presented at ITW 2019:
A. Dytso and H. V. Poor, “Properties of The Conditional Mean Estimator in Poisson Noise”
S. Yagli, A. Dytso, H. V. Poor, “Estimation of Bounded Normal Mean: An Alternative Proof for the Discreteness of the Least Favorable Prior”
August 2019: See our recent submission to arXiv on recovering sorted noisy data.
July 2019: Two of our papers have been presented at ISIT 2019:
A. Dytso, M. Cardone, M. S. Veedu, H. V. Poor, “On Estimation under Noisy Order Statistics”
S. Yagli, A. Dytso, H. V. Poor, S. Shamai (Shitz), “An Upper Bound on the Number of Mass Points in the Capacity Achieving Distribution for the Amplitude Constrained Additive Gaussian Channel”
June 2019: Professor H. Vincent Poor and I are guest editing a special issue on ‘‘Wireless Networks: Information Theoretic Perspectives" in the Entropy journal. Please consider submitting.
June 2019: I coorganized the 5th Workshop on PhysicalLayer Methods for Wireless Security at IEEE CNS ’19, Washington DC, June 2019 (with Mario Goldenbaum, Rafael F. Schaefer, H. Vincent Poor, and Holger Boche).
January 2019: See our recent submission to arXiv that makes progress on the longstanding open problem of how to characterize capacity achieving distributions for amplitude constraint Gaussian noise channel.
