
The Convex Information Bottleneck Lagrangian
The information bottleneck (IB) problem tackles the issue of obtaining r...
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Upper Bounds on the Generalization Error of Private Algorithms
In this work, we study the generalization capability of algorithms from ...
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Performance Guarantees for Schattenp QuasiNorm Minimization in Recovery of LowRank Matrices
We address some theoretical guarantees for Schattenp quasinorm minimiz...
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Progressive Learning for Systematic Design of Large Neural Networks
We develop an algorithm for systematic design of a large artificial neur...
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Distributed Coordinated Transmission with ForwardBackward Training for 5G Radio Access
Coordinated multipoint (CoMP) transmission and reception has been consid...
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Golden Angle Modulation: Approaching the AWGN Capacity
In this work, targeting, e.g., future generation cellular, microwavelin...
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LowOverhead Coordination in Sub28 MillimeterWave Networks
In this paper, we present some contributions from our recent investigati...
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A Unified Framework for Training Neural Networks
The lack of mathematical tractability of Deep Neural Networks (DNNs) has...
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The Capacity of Private Information Retrieval with Eavesdroppers
We consider the problem of private information retrieval (PIR) with coll...
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Learning Kolmogorov Models for Binary Random Variables
We summarize our recent findings, where we proposed a framework for lear...
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Delay Performance of the Multiuser MISO Downlink under Imperfect CSI and Finite Length Coding
We use stochastic network calculus to investigate the delay performance ...
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The εerror Capacity of Symmetric PIR with Byzantine Adversaries
The capacity of symmetric private information retrieval with K messages,...
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NonAsymptotic Behavior of the Maximum Likelihood Estimate of a Discrete Distribution
In this paper, we study the maximum likelihood estimate of the probabili...
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Generic Variance Bounds on Estimation and Prediction Errors in Time Series Analysis: An Entropy Perspective
In this paper, we obtain generic bounds on the variances of estimation a...
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NOMA in the Uplink: Delay Analysis with Imperfect CSI and FiniteLength Coding
We study whether using nonorthogonal multiple access (NOMA) in the upli...
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Decentralized MultiTask Learning Based on Extreme Learning Machines
In multitask learning (MTL), related tasks learn jointly to improve gen...
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SSFN: Self Sizeestimating Feedforward Network and Low Complexity Design
We design a self sizeestimating feedforward network (SSFN) using a joi...
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An Entropy Power Inequality for Discrete Random Variables
Let N_ d[X]=1/2π e e^2H[X] denote the entropy power of the discrete rand...
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Sequential Source Coding for Stochastic Systems Subject to Finite Rate Constraints
In this paper, we apply a sequential source coding framework to analyze ...
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Empirical Coordination Subject to a Fidelity Criterion
We study the problem of empirical coordination subject to a fidelity cri...
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TwoWay Coding and Attack Decoupling in Control Systems Under Injection Attacks
In this paper, we introduce the concept of twoway coding, which origina...
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LowLatency Communication with Computational Complexity Constraints
Lowlatency communication is one of the most important application scena...
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Mobilityaware Content Preference Learning in Decentralized Caching Networks
Due to the drastic increase of mobile traffic, wireless caching is propo...
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FixedLength Strong Coordination
We consider the problem of synthesizing joint distributions of signals a...
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Hidden Markov Models for sepsis detection in preterm infants
We explore the use of traditional and contemporary hidden Markov models ...
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Empirical Coordination with Multiple Descriptions
We extend the framework of empirical coordination to a distributed setup...
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Conditional Mutual Information Neural Estimator
Several recent works in communication systems have proposed to leverage ...
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On ZeroDelay RDF for VectorValued GaussMarkov Sources with Additional Noise
We consider a zerodelay remote source coding problem where a hidden sou...
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A Converse Bound Characterization on ZeroDelay Indirect RDF for Vector GaussMarkov Sources
We consider a zerodelay remote source coding problem where a hidden sou...
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Highdimensional Neural Feature using Rectified Linear Unit and Random Matrix Instance
We design a ReLUbased multilayer neural network to generate a rich high...
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Asynchronous Decentralized Learning of a Neural Network
In this work, we exploit an asynchronous computing framework namely ARoc...
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Remote Source Coding
We apply the framework of imperfect empirical coordination to a twonode...
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Detecting State Transitions of a Markov Source: Sampling Frequency and Age Tradeoff
We consider a finitestate DiscreteTime Markov Chain (DTMC) source that...
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A Hybrid Modelbased and Datadriven Approach to Spectrum Sharing in mmWave Cellular Networks
Interoperator spectrum sharing in millimeterwave bands has the potenti...
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Privacypreserving Incremental ADMM for Decentralized Consensus Optimization
The alternating direction method of multipliers (ADMM) has been recently...
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Remote Empirical Coordination
We apply the framework of imperfect empirical coordination to a twonode...
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Mikael Skoglund
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