English

Deformed Statistics Formulation of the Information Bottleneck Method

Statistical Mechanics 2009-05-01 v4 Data Analysis, Statistics and Probability Machine Learning

Abstract

The theoretical basis for a candidate variational principle for the information bottleneck (IB) method is formulated within the ambit of the generalized nonadditive statistics of Tsallis. Given a nonadditivity parameter q q , the role of the \textit{additive duality} of nonadditive statistics (q=2q q^*=2-q ) in relating Tsallis entropies for ranges of the nonadditivity parameter q<1 q < 1 and q>1 q > 1 is described. Defining X X , X~ \tilde X , and Y Y to be the source alphabet, the compressed reproduction alphabet, and, the \textit{relevance variable} respectively, it is demonstrated that minimization of a generalized IB (gIB) Lagrangian defined in terms of the nonadditivity parameter q q^* self-consistently yields the \textit{nonadditive effective distortion measure} to be the \textit{q q -deformed} generalized Kullback-Leibler divergence: DKLq[p(YX)p(YX~)] D_{K-L}^{q}[p(Y|X)||p(Y|\tilde X)] . This result is achieved without enforcing any \textit{a-priori} assumptions. Next, it is proven that the qdeformedq^*-deformed nonadditive free energy of the system is non-negative and convex. Finally, the update equations for the gIB method are derived. These results generalize critical features of the IB method to the case of Tsallis statistics.

Keywords

Cite

@article{arxiv.0811.3174,
  title  = {Deformed Statistics Formulation of the Information Bottleneck Method},
  author = {R. C. Venkatesan and A. Plastino},
  journal= {arXiv preprint arXiv:0811.3174},
  year   = {2009}
}

Comments

6 pages. Expanded analysis, typographical corrections, 1 reference added

R2 v1 2026-06-21T11:43:23.231Z