2 citations · 2 across the 5 of their papers we have counts for
7 papers
Mutual Information Constrained Chernoff Bottleneck
Dier Tang, Guangyue Han
The classical information bottleneck (IB) measures the relevance of a representation of to a target by , which does not directly characterize the error of downs…
High-Order Talagrand and Eldan--Gross Inequalities via Besov-Type Variance Functionals
Guangyue Han, Peijie Li
By introducing high-order Besov-type variance functionals that generalize the canonical variance, we develop a unified framework for proving high-order Talagrand-type inequalities…
Information-Theoretic Bounds for Sparse Covariance Estimation in the Vertical-Split Distributed Model
Jing Yee Tan, Guangyue Han
We study the minimax estimation error for distributed covariance matrix estimation in the vertical-split (feature-split) setting, where two agents each observe different coordinate…
Universal Feature Selection with Noisy Observations and Weak Symmetry Conditions
Dier Tang, Guangyue Han
This paper relaxes the restrictive symmetry conditions adopted in [4], [5] and extends their universal feature selection framework to accommodate noisy observations as well as attr…
Second-Order Schalkwijk-Kailath Coding for Autoregressive Gaussian Channels
Jun Su, Guangyue Han, Shlomo Shamai
We study noiseless-feedback communication over Gaussian channels with stationary autoregressive (AR) noise of arbitrary finite order. We introduce a class of Gaussian linear-feedba…
Strengthening Han's Fourier Entropy-Influence Inequality via an Information-Theoretic Proof
Peijie Li, Guangyue Han
We strengthen Han's Fourier entropy-influence inequality originally proved for -va…
Relative entropy convergence under Picard's iteration for stochastic differential equations
Tsz Hin Ng, Guangyue Han
For a family of stochastic differential equations, we investigate the asymptotic behaviors of its corresponding Picard's iteration, establishing convergence results in terms of rel…