199 citations · 208 across the 10 of their papers we have counts for
6 papers · 1 filter
Minimum Distortion Quantization with Specified Output Distribution
Aolin Xu
We derive the optimal quantizer of a real-valued random variable with distribution such that 1) the distribution of the quantization output that can take values f…
Optimal Feedback Communication with Information Maximization and Distortion Minimization
Aolin Xu
We study the problem of optimally sending a real-valued source through multiple uses of a channel with feedback. First, we state a set of conditions that are sufficient for an enco…
Anytime Decoding by Monte-Carlo Tree Search
Aolin Xu
An anytime decoding algorithm for tree codes using Monte-Carlo tree search is proposed. The meaning of anytime decoding here is twofold: 1) the decoding algorithm is an anytime alg…
Information-Theoretic Lower Bounds on Bayes Risk in Decentralized Estimation
Aolin Xu, Maxim Raginsky
We derive lower bounds on the Bayes risk in decentralized estimation, where the estimator does not have direct access to the random samples generated conditionally on the random pa…
Information-theoretic lower bounds for distributed function computation
Aolin Xu, Maxim Raginsky
We derive information-theoretic converses (i.e., lower bounds) for the minimum time required by any algorithm for distributed function computation over a network of point-to-point…
Converses for distributed estimation via strong data processing inequalities
Aolin Xu, Maxim Raginsky
We consider the problem of distributed estimation, where local processors observe independent samples conditioned on a common random parameter of interest, map the observations to…