Peida Tian

activity

20162021

most citedThe Dispersion of the Gauss-Markov Source

7 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

math.OC2021

Reducing the LQG Cost with Minimal Communication

Oron Sabag, Peida Tian, Victoria Kostina +1

We study the linear quadratic Gaussian (LQG) control problem, in which the controller's observation of the system state is such that a desired cost is unattainable. To achieve the…

cs.IT2019★ 3 cited

Nonstationary Gauss-Markov Processes: Parameter Estimation and Dispersion

Peida Tian, Victoria Kostina

This paper provides a precise error analysis for the maximum likelihood estimate $a^_{ML} (u_{1}^{n})$ of the parameter $a$ given samples $u_{1}^{n} = (u_{1}, \dots, u_{n})^{'}$ drawn…

cs.IT2018★ 7 cited

The Dispersion of the Gauss-Markov Source

Peida Tian, Victoria Kostina

The Gauss-Markov source produces $U_{i} = a U_{i - 1} + Z_{i}$ for $i \geq 1$ , where $U_{0} = 0$ , $∣ a ∣ < 1$ and $Z_{i} \sim N (0, σ^{2})$ are i.i.d. Gaussian random variables. We consider l…

cs.IT2016

Arbitrarily Varying Networks: Capacity-achieving Computationally Efficient Codes

Peida Tian, Sidharth Jaggi, Mayank Bakshi +1

We consider the problem of communication over a network containing a hidden and malicious adversary that can control a subset of network resources, and aims to disrupt communicatio…