activity
20142026
most citedCapacity-achieving Guessing Random Additive Noise Decoding (GRAND)

229 citations · 262 across the 14 of their papers we have counts for

collaborators

14 papers

math.PR2026

Multiplicative comparisons of Rényi entropies for weighted Bernoulli sums

Jiange Li

We establish multiplicative comparisons between Rényi entropies of different orders for weighted sums of independent Bernoulli random variables. In particular, we prove a logarithm…

math.PR2026

Central limit theorem in Rényi divergence for lattice random variables

Zhen Fu, Jiange Li

Let be independent, identically distributed lattice random variables with zero mean, unit variance, and maximal span . Let . Le…

math.PR2026

Symmetrization resistance for exponential and geometric distributions

Jiange Li

Given a random variable , an independent random variable is called a symmetrizer of if their sum is symmetric about the origin. The study of symmetrization resista…

math.PR2021★ 1 cited

Long-term balanced allocation via thinning

Ohad N. Feldheim, Ori Gurel-Gurevich, Jiange Li

We study the long-term behavior of the two-thinning variant of the classical balls-and-bins model. In this model, an overseer is provided with uniform random allocation of ball…

math.PR2019

Load balancing under -thinning

Ohad N. Feldheim, Jiange Li

In the classical balls-and-bins model, balls are allocated into bins one by one uniformly at random. In this note, we consider the -thinning variant of this model, in wh…

math.PR2019

Further investigations of Rényi entropy power inequalities and an entropic characterization of s-concave densities

Jiange Li, Arnaud Marsiglietti, James Melbourne

We investigate the role of convexity in Rényi entropy power inequalities. After proving that a general Rényi entropy power inequality in the style of Bobkov-Chistyakov (2015) fails…

math.PR2018★ 2 cited

Large deviations for conditional guesswork

Jiange Li

The guesswork problem was originally studied by Massey to quantify the number of guesses needed to ascertain a discrete random variable. It has been shown that for a large class of…

cs.IT2018★ 229 cited

Capacity-achieving Guessing Random Additive Noise Decoding (GRAND)

Ken R. Duffy, Jiange Li, Muriel Médard

We introduce a new algorithm for realizing Maximum Likelihood (ML) decoding in discrete channels with or without memory. In it, the receiver rank orders noise sequences from most l…

math.PR2018★ 2 cited

Boolean functions: noise stability, non-interactive correlation distillation, and mutual information

Jiange Li, Muriel Medard

Let be the noise operator acting on Boolean functions , where is the noise parameter. Given and fixed mean , whic…

math.PR2017★ 4 cited

Rényi entropy power inequality and a reverse

Jiange Li

This paper is twofold. In the first part, we present a refinement of the Rényi Entropy Power Inequality (EPI) recently obtained in \cite{BM16}. The proof largely follows the approa…

math.PR2016★ 6 cited

A combinatorial approach to small ball inequalities for sums and differences

Jiange Li, Mokshay Madiman

Small ball inequalities have been extensively studied in the setting of Gaussian processes and associated Banach or Hilbert spaces. In this paper, we focus on studying small ball p…

math.PR2015★ 11 cited

Concentration of information content for convex measures

Matthieu Fradelizi, Jiange Li, Mokshay Madiman

We establish sharp exponential deviation estimates of the information content as well as a sharp bound on the varentropy for the class of convex measures on Euclidean spaces. This…

cs.IT2015★ 7 cited

Entropies of weighted sums in cyclic groups and an application to polar codes

Emmanuel Abbe, Jiange Li, Mokshay Madiman

In this note, the following basic question is explored: in a cyclic group, how are the Shannon entropies of the sum and difference of i.i.d. random variables related to each other?…

math.PR2014

A Note on Distribution Free Symmetrization Inequalities

Zhao Dong, Jiange Li, Wenbo V. Li

Let be two independent identically distributed (i.i.d.) random variables taking values from a separable Banach space . Given two measurable subsets…