Tianle Liu

activity

20222026

most citedMeasuring and Controlling Instruction (In)Stability in Language Model Dialogs

4 citations · 4 across the 9 of their papers we have counts for

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2 papers · 1 filter

math.PR2023

Wasserstein-p Bounds via Cumulant-Based Edgeworth Expansion for $α$ -Mixing Random Fields

Tianle Liu, Morgane Austern

We establish normal-approximation bounds in the Wasserstein- $p$ distance for $α$ -mixing random fields, extending results previously available mainly for independent or locally depe…

math.PR2022

Wasserstein-p Bounds in the Central Limit Theorem Under Weak Dependence

Tianle Liu, Morgane Austern

The central limit theorem is one of the most fundamental results in probability and has been successfully extended to locally dependent data and strongly-mixing random fields. In t…

Wasserstein-p Bounds via Cumulant-Based Edgeworth Expansion for α-Mixing Random Fields

Wasserstein-p Bounds in the Central Limit Theorem Under Weak Dependence

Wasserstein-p Bounds via Cumulant-Based Edgeworth Expansion for $α$ -Mixing Random Fields