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Found 4 papers, 3 papers with code
An Efficient Difference-of-Convex Solver for Privacy Funnel
The proposed DC separation results in a closed-form update equation, which allows straightforward application to both known and unknown distribution settings.
Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning
In a nutshell, the proposed solvers offer computational efficiency, theoretical convergence guarantees (local minima), scalable complexity with the number of views, and exceptional accuracy as compared with the state-of-the-art techniques.
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting
Our information-theoretic approach can be extended to supervised and semi-supervised settings with straightforward derivations.
A Provably Convergent Information Bottleneck Solution via ADMM
Conventionally, it resorts to characterizing the information plane, that is, plotting $I(Y;Z)$ versus $I(X;Z)$ for all solutions obtained from different initial points.
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