1 citations · 1 across the 13 of their papers we have counts for
13 papers
A Survey of Learn-to-Compute Paradigms for Rate-Distortion-Type Problems
Shitong Wu, Sicheng Xu, Lingyi Chen +4
Rate-distortion (RD) theory and its related formulations play a central role in understanding efficient information representation, but computing these quantities remains challengi…
An Optimal Transport-Based Method for Computing LM Rate and Its Convergence Analysis
Shitong Wu, Wenhao Ye, Xinwei Li +4
The mismatch capacity characterizes the highest information rate of the channel under a prescribed decoding metric and serves as a critical performance indicator in numerous practi…
An Efficient Alternating Minimization Algorithm for Computing Quantum Rate-Distortion Function
Lingyi Chen, Deheng Yuan, Wenyi Zhang +2
We consider the computation of the entanglement-assisted quantum rate-distortion function, which plays a central role in quantum information theory. We propose an efficient alterna…
Neural Estimation of the Information Bottleneck Based on a Mapping Approach
Lingyi Chen, Shitong Wu, Sicheng Xu +2
The information bottleneck (IB) method is a technique designed to extract meaningful information related to one random variable from another random variable, and has found extensiv…
Efficient Computation of Marton's Error Exponent via Constraint Decoupling
Jiachuan Ye, Shitong Wu, Lingyi Chen +3
The error exponent in lossy source coding characterizes the asymptotic decay rate of error probability with respect to blocklength. The Marton's error exponent provides the theoret…
Estimating Rate-Distortion Functions Using the Energy-Based Model
Shitong Wu, Sicheng Xu, Lingyi Chen +2
The rate-distortion (RD) theory is one of the key concepts in information theory, providing theoretical limits for compression performance and guiding the source coding design, wit…
RDD Function: A Tradeoff Between Rate and Distortion-in-Distortion
Lingyi Chen, Haoran Tang, Shitong Wu +4
In this paper, we propose a novel function named Rate Distortion-in-Distortion (RDD) function as an extension of the classical rate-distortion (RD) function, where the expected dis…
Alternating Maximization Algorithm for Mismatch Capacity with Oblivious Relaying
Xinwei Li, Lingyi Chen, Shitong Wu +3
Reliable communication over a discrete memoryless channel with the help of a relay has aroused interest due to its widespread applications in practical scenarios. By considering th…
An Expectation-Maximization Relaxed Method for Privacy Funnel
Lingyi Chen, Jiachuan Ye, Shitong Wu +3
The privacy funnel (PF) gives a framework of privacy-preserving data release, where the goal is to release useful data while also limiting the exposure of associated sensitive info…
A Double Maximization Approach for Optimizing the LM Rate of Mismatched Decoding
Lingyi Chen, Shitong Wu, Xinwei Li +3
An approach is established for maximizing the Lower bound on the Mismatch capacity (hereafter abbreviated as LM rate), a key performance bound in mismatched decoding, by optimizing…
On Convergence of Discrete Schemes for Computing the Rate-Distortion Function of Continuous Source
Lingyi Chen, Shitong Wu, Wenyi Zhang +2
Computing the rate-distortion function for continuous sources is commonly regarded as a standard continuous optimization problem. When numerically addressing this problem, a typica…
Efficient and Provably Convergent Computation of Information Bottleneck: A Semi-Relaxed Approach
Lingyi Chen, Shitong Wu, Jiachuan Ye +3
Information Bottleneck (IB) is a technique to extract information about one target random variable through another relevant random variable. This technique has garnered significant…
A Constrained BA Algorithm for Rate-Distortion and Distortion-Rate Functions
Lingyi Chen, Shitong Wu, Wenhao Ye +4
The Blahut-Arimoto (BA) algorithm has played a fundamental role in the numerical computation of rate-distortion (RD) functions. This algorithm possesses a desirable monotonic conve…