Tamás Linder

Orcid: 0000-0001-9993-816X

According to our database1, Tamás Linder authored at least 159 papers between 1993 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2013, "For contributions to source coding and quantization".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources.
IEEE Trans. Inf. Theory, November, 2024

2023
An Asymptotically Optimal Two-Part Fixed-Rate Coding Scheme for Networked Control With Unbounded Noise.
IEEE Trans. Inf. Theory, October, 2023

Lossless Transformations and Excess Risk Bounds in Statistical Inference.
Entropy, October, 2023

Capacity of Finite-State Two-Way Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2022
Signaling Games for Log-Concave Distributions: Number of Bins and Properties of Equilibria.
IEEE Trans. Inf. Theory, 2022

Zero-Delay Lossy Coding of Linear Vector Markov Sources: Optimality of Stationary Codes and Near Optimality of Finite Memory Codes.
IEEE Trans. Inf. Theory, 2022

Logarithmic regret in online linear quadratic control using Riccati updates.
Math. Control. Signals Syst., 2022

Rényi Cross-Entropy Measures for Common Distributions and Processes with Memory.
Entropy, 2022

An Asymptotically Optimal Two-Part Coding Scheme for Networked Control under Fixed-Rate Constraints.
Proceedings of the IEEE International Symposium on Information Theory, 2022

On the Rényi Cross-Entropy.
Proceedings of the 17th Canadian Workshop on Information Theory, 2022

Achieving Logarithmic Regret via Hints in Online Learning of Noisy LQR Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Two-Way Source-Channel Coding.
IEEE Trans. Inf. Theory, 2021

On the lack of monotonicity of Newton-Hewer updates for Riccati equations.
Autom., 2021

An Information Bottleneck Problem with Rényi's Entropy.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Asymptotic Optimality of Finite Model Approximations for Partially Observed Markov Decision Processes With Discounted Cost.
IEEE Trans. Autom. Control., 2020

Push-Sum on Random Graphs: Almost Sure Convergence and Convergence Rate.
IEEE Trans. Autom. Control., 2020

Signaling Games for Arbitrary Distributions: Number of Bins and Properties of Equilibria.
CoRR, 2020

A Simple Capacity Outer Bound for Two-Way Channels and Capacity Approximation Results.
CoRR, 2020

Riccati updates for online linear quadratic control.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

A Simple Capacity Outer Bound for Two-Way Channels and Capacity Approximation Results.
Proceedings of the International Symposium on Information Theory and Its Applications, 2020

Adaptive Coding for Two-Way Lossy Source-Channel Communication.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Optimality of Stationary and Deterministic Policies for Zero-Delay Coding of ℝ<sup>d</sup>-Valued Linear Markov Sources with Quadratic Cost.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Capacity of Two-Way Channels With Symmetry Properties.
IEEE Trans. Inf. Theory, 2019

Capacity of Burst Noise-Erasure Channels With and Without Feedback and Input Cost.
IEEE Trans. Inf. Theory, 2019

Estimation Efficiency Under Privacy Constraints.
IEEE Trans. Inf. Theory, 2019

Individual Regret Bounds for the Distributed Online Alternating Direction Method of Multipliers.
IEEE Trans. Autom. Control., 2019

On the Number of Bins in Equilibria for Signaling Games.
CoRR, 2019

Joint Source-Channel Coding for the Transmission of Correlated Sources over Two-Way Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2019

On the Number of Bins in Equilibria for Signaling Games.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Capacity of Generalized Discrete-Memoryless Push-to-Talk Two-Way Channels.
Proceedings of the 16th Canadian Workshop on Information Theory, 2019

2018
On the Noise-Information Separation of a Private Principal Component Analysis Scheme.
CoRR, 2018

Optimized Signaling of Binary Correlated Sources Over Gaussian Multiple Access Channels.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Sufficient Conditions for the Tightness of Shannon's Capacity Bounds for Two-Way Channels.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Convergence Rate of Push-Sum Algorithms on Random Graphs.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Optimal Joint Decoding of Correlated Data Over Orthogonal Multiple-Access Channels With Memory.
IEEE Trans. Veh. Technol., 2017

Optimal Zero Delay Coding of Markov Sources: Stationary and Finite Memory Codes.
IEEE Trans. Inf. Theory, 2017

Distributed Online Convex Optimization on Time-Varying Directed Graphs.
IEEE Trans. Control. Netw. Syst., 2017

Finite Model Approximations and Asymptotic Optimality of Quantized Policies in Decentralized Stochastic Control.
IEEE Trans. Autom. Control., 2017

On the Asymptotic Optimality of Finite Approximations to Markov Decision Processes with Borel Spaces.
Math. Oper. Res., 2017

Finite Model Approximations for Partially Observed Markov Decision Processes with Discounted Cost.
CoRR, 2017

Optimized Signaling of Binary Correlated Sources over GMACs.
CoRR, 2017

Lossy transmission of correlated sources over two-way channels.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017

On the capacity of burst noise-erasure channels with and without feedback.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Privacy-aware guessing efficiency.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
On Rates of Convergence for Markov Chains Under Random Time State Dependent Drift Criteria.
IEEE Trans. Autom. Control., 2016

Information Extraction Under Privacy Constraints.
Inf., 2016

Adaptation is useless for two discrete additive-noise two-way channels.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Privacy-aware MMSE estimation.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Almost Perfect Privacy for Additive Gaussian Privacy Filters.
Proceedings of the Information Theoretic Security - 9th International Conference, 2016

Asymptotic optimality of finite representations and quantized policies in team problems and Witsenhausen's counterexample.
Proceedings of the 2016 American Control Conference, 2016

2015
Binary Signaling of Correlated Sources Over Orthogonal Multiple-Access Channels.
IEEE Wirel. Commun. Lett., 2015

Output Constrained Lossy Source Coding With Limited Common Randomness.
IEEE Trans. Inf. Theory, 2015

Randomized Quantization and Source Coding With Constrained Output Distribution.
IEEE Trans. Inf. Theory, 2015

Asymptotic Optimality and Rates of Convergence of Quantized Stationary Policies in Stochastic Control.
IEEE Trans. Autom. Control., 2015

Asymptotic Optimality of Finite Approximations to Markov Decision Processes with General State and Action Spaces.
CoRR, 2015

Optimality of Walrand-Varaiya type policies and approximation results for zero delay coding of Markov sources.
Proceedings of the IEEE International Symposium on Information Theory, 2015

On maximal correlation, mutual information and data privacy.
Proceedings of the 14th IEEE Canadian Workshop on Information Theory, 2015

Finite-state approximation of Markov decision processes with unbounded costs and Borel spaces.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Finite state approximations of Markov decision processes with general state and action spaces.
Proceedings of the American Control Conference, 2015

Finite-state approximations to constrained Markov decision processes with Borel spaces.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Lossless secure source coding: Yamamoto's setting.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
On Optimal Zero-Delay Coding of Vector Markov Sources.
IEEE Trans. Inf. Theory, 2014

MAP Decoding of Correlated Sources over Soft-Decision Orthogonal Multiple Access Fading Channels with Memory.
Proceedings of the IEEE 80th Vehicular Technology Conference, 2014

Asymptotic optimality of quantized policies in stochastic control under weak continuity conditions.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Randomized source coding with limited common randomness.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Notes on information-theoretic privacy.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Distributed subgradient-push online convex optimization on time-varying directed graphs.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
MAP Detection and Robust Lossy Coding Over Soft-Decision Correlated Fading Channels.
IEEE Trans. Veh. Technol., 2013

On some convergence properties of the subspace constrained mean shift.
Pattern Recognit., 2013

Rényi divergence measures for commonly used univariate continuous distributions.
Inf. Sci., 2013

Quantized Stationary Control Policies in Markov Decision Processes.
CoRR, 2013

Randomized quantization and optimal design with a marginal constraint.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

An achievability proof for the lossy coding of Markov sources with feed-forward.
Proceedings of the 13th Canadian Workshop on Information Theory, 2013

Approximation of stationary control policies by quantized control in Markov decision processes.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Entropy Density and Mismatch in High-Rate Scalar Quantization With Rényi Entropy Constraint.
IEEE Trans. Inf. Theory, 2012

Efficient Tracking of Large Classes of Experts.
IEEE Trans. Inf. Theory, 2012

Optimization and Convergence of Observation Channels in Stochastic Control.
SIAM J. Control. Optim., 2012

MAP decoding of quantized sources over soft-decision fading channels with memory.
Proceedings of IEEE International Conference on Communications, 2012

On optimal zero-delay quantization of vector Markov sources.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

On the convergence and applications of mean shift type algorithms.
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012

2011
Rate-Constrained Simulation and Source Coding i.i.d. Sources.
IEEE Trans. Inf. Theory, 2011

High-Resolution Scalar Quantization With Rényi Entropy Constraint.
IEEE Trans. Inf. Theory, 2011

On the Performance of Hybrid Digital-Analog Coding for Broadcasting Correlated Gaussian Sources.
IEEE Trans. Commun., 2011

Scalar quantization with Rényi entropy constraint.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

On Asymptotically Optimal Stationary Source Codes for IID Sources.
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

2010
On the optimal performance in asymmetric gaussian wireless sensor networks with fading.
IEEE Trans. Signal Process., 2010

Rate-Constrained Simulation and Source Coding IID Sources
CoRR, 2010

Inner and Outer Bounds for the Public Information Embedding Capacity Region Under Multiple Access Attacks
CoRR, 2010

On optimization and convergence of observation channels and quantizers in stochastic control.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Random-coding lower bounds for the error exponent of joint quantization and watermarking systems.
IEEE Trans. Inf. Theory, 2009

Hybrid digital-analog coding with bandwidth compression for gaussian source-channel pairs.
IEEE Trans. Commun., 2009

MAP decoding for multi-antenna systems with non-uniform sources: exact pairwise error probability and applications.
IEEE Trans. Commun., 2009

COVQ for MAP hard-decision demodulated channels.
IEEE Commun. Lett., 2009

Hybrid digital-analog joint source-channel coding for broadcasting correlated Gaussian sources.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Bits in Asymptotically Optimal Lossy Source Codes Are Asymptotically Bernoulli.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

2008
Tracking the Best Quantizer.
IEEE Trans. Inf. Theory, 2008

Lagrangian Vector Quantization With Combined Entropy and Codebook Size Constraints.
IEEE Trans. Inf. Theory, 2008

On the public information embedding capacity region under multiple access attacks.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

On the optimal power-distortion region for asymmetric Gaussian sensor networks with fading.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

A multiple description video coding motivated by human visual perception.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
An Efficient Algorithmic Lower Bound for the Error Rate of Linear Block Codes.
IEEE Trans. Commun., 2007

The On-Line Shortest Path Problem Under Partial Monitoring.
J. Mach. Learn. Res., 2007

A Sufficient Condition for Private Information Hiding of Two Correlated Sources Under Multiple Access Attacks.
Proceedings of the IEEE International Symposium on Information Theory, 2007

2006
Channel-Optimized Quantization With Soft-Decision Demodulation for Space-Time Orthogonal Block-Coded Channels.
IEEE Trans. Signal Process., 2006

Symbol-Based Modeling and Coding of Block Markov Sources.
IEEE Trans. Inf. Theory, 2006

Causal coding of stationary sources and individual sequences with high resolution.
IEEE Trans. Inf. Theory, 2006

The Shortest Path Problem in the Bandit Setting.
Proceedings of the 2006 IEEE Information Theory Workshop, 2006

The Shortest Path Problem Under Partial Monitoring.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005
Image transmission over the polya channel via channel-optimized quantization.
IEEE Trans. Signal Process., 2005

Design of sample adaptive product quantizers for noisy channels.
IEEE Trans. Commun., 2005

Tight error bounds for space-time orthogonal block codes under slow Rayleigh flat fading.
IEEE Trans. Commun., 2005

Design of VQ-Based Hybrid Digital-Analog Joint Source-Channel Codes for Image Communication.
Proceedings of the 2005 Data Compression Conference (DCC 2005), 2005

Tracking the Best of Many Experts.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

Limited-Delay Coding of Individual Sequences with Piecewise Different Behavior.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Efficient adaptive algorithms and minimax bounds for zero-delay lossy source coding.
IEEE Trans. Signal Process., 2004

Causal coding of individual sequences and the Lempel-Ziv differential entropy.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Efficient algorithms and minimax bounds for zero-delay lossy source coding.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

A "Follow the Perturbed Leader"-type Algorithm for Zero-Delay Quantization of Individual Sequence.
Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004

Results and Conjectures on High Rate Quantization.
Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004

2003
Do optimal entropy-constrained quantizers have a finite or infinite number of codewords?
IEEE Trans. Inf. Theory, 2003

Codecell convexity in optimal entropy-constrained vector quantization.
IEEE Trans. Inf. Theory, 2003

Mismatch in high-rate entropy-constrained vector quantization.
IEEE Trans. Inf. Theory, 2003

Performance analysis of MAP decoded space-time orthogonal block codes for non-uniform sources.
Proceedings of the Proceedings 2003 IEEE Information Theory Workshop, 2003

Experimental Study of a Binary Block Sorting Compression Scheme.
Proceedings of the 2003 Data Compression Conference (DCC 2003), 2003

High Rate Mismatch in Entropy Constrained Quantization.
Proceedings of the 2003 Data Compression Conference (DCC 2003), 2003

2002
Lagrangian empirical design of variable-rate vector quantizers: consistency and convergence rates.
IEEE Trans. Inf. Theory, 2002

On the structure of optimal entropy-constrained scalar quantizers.
IEEE Trans. Inf. Theory, 2002

A Lagrangian formulation of Zador's entropy-constrained quantization theorem.
IEEE Trans. Inf. Theory, 2002

Data-dependent margin-based generalization bounds for classification.
J. Mach. Learn. Res., 2002

Progressive Image Communication over Binary Channels with Additive Bursty Noise.
Proceedings of the 2002 Data Compression Conference (DCC 2002), 2002

2001
A zero-delay sequential scheme for lossy coding of individual sequences.
IEEE Trans. Inf. Theory, 2001

Data-Dependent Margin-Based Generalization Bounds for Classification.
Proceedings of the Computational Learning Theory, 2001

2000
On source coding with side-information-dependent distortion measures.
IEEE Trans. Inf. Theory, 2000

On the training distortion of vector quantizers.
IEEE Trans. Inf. Theory, 2000

Optimal entropy-constrained scalar quantization of a uniform source.
IEEE Trans. Inf. Theory, 2000

Learning and Design of Principal Curves.
IEEE Trans. Pattern Anal. Mach. Intell., 2000

1999
High-Resolution Source Coding for Non-Difference Distortion Measures: Multidimensional Companding.
IEEE Trans. Inf. Theory, 1999

High-Resolution Source Coding for Non-Difference Distortion Measures: The Rate-Distortion Function.
IEEE Trans. Inf. Theory, 1999

On the rate-distortion function of random vectors and stationary sources with mixed distributions.
IEEE Trans. Inf. Theory, 1999

1998
Radial basis function networks and complexity regularization in function learning.
IEEE Trans. Neural Networks, 1998

The Minimax Distortion Redundancy in Empirical Quantizer Design.
IEEE Trans. Inf. Theory, 1998

A Polygonal Line Algorithm for Constructing Principal Curves.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

The Multiple Description Rate Region for High Resolution Source Coding.
Proceedings of the Data Compression Conference, 1998

1997
Existence of optimal prefix codes for infinite source alphabets.
IEEE Trans. Inf. Theory, 1997

Empirical quantizer design in the presence of source noise or channel noise.
IEEE Trans. Inf. Theory, 1997

A Minimax Lower Bound for Empirical Quantizer Design.
Proceedings of the Computational Learning Theory, Third European Conference, 1997

1996
Nonparametric estimation and classification using radial basis function nets and empirical risk minimization.
IEEE Trans. Neural Networks, 1996

On the cost of finite block length in quantizing unbounded memoryless sources.
IEEE Trans. Inf. Theory, 1996

Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Designing Vector Quantizers in the Presence of Source Noise or Channel Noise.
Proceedings of the 6th Data Compression Conference (DCC '96), Snowbird, Utah, USA, March 31, 1996

1995
Fixed-rate universal lossy source coding and rates of convergence for memoryless sources.
IEEE Trans. Inf. Theory, 1995

1994
On the asymptotic tightness of the Shannon lower bound.
IEEE Trans. Inf. Theory, 1994

Asymptotic entropy-constrained performance of tessellating and universal randomized lattice quantization.
IEEE Trans. Inf. Theory, 1994

Rates of convergence in the source coding theorem, in empirical quantizer design, and in universal lossy source coding.
IEEE Trans. Inf. Theory, 1994

Universal source coding with codebook transmission.
IEEE Trans. Commun., 1994

Nonparametric classification using radial basis function nets and empirical risk minimization.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
Corrected proof of de Buda's theorem.
IEEE Trans. Inf. Theory, 1993

Fast Nearest-Neighbor Search in Dissimilarity Spaces.
IEEE Trans. Pattern Anal. Mach. Intell., 1993

Universality and Rates of Convergence in Lossy Source Coding.
Proceedings of the IEEE Data Compression Conference, 1993


  Loading...