8 citations · 9 across the 5 of their papers we have counts for
5 papers
Optimal Diagonal Preconditioning
Zhaonan Qu, Wenzhi Gao, Oliver Hinder +2
Preconditioning has long been a staple technique in optimization, often applied to reduce the condition number of a matrix and speed up the convergence of algorithms. Although ther…
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference
Zhaonan Qu, Ruoxuan Xiong, Jizhou Liu +1
In many observational studies in social science and medicine, subjects or units are connected, and one unit's treatment and attributes may affect another's treatment and outcome, v…
A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg
Zhaonan Qu, Kaixiang Lin, Zhaojian Li +2
Federated learning (FL) learns a model jointly from a set of participating devices without sharing each other's privately held data. The characteristics of non-i.i.d. data across t…
Interpretable Personalization via Policy Learning with Linear Decision Boundaries
Zhaonan Qu, Isabella Qian, Zhengyuan Zhou
With the rise of the digital economy and an explosion of available information about consumers, effective personalization of goods and services has become a core business focus for…
Ensemble Methods for Causal Effects in Panel Data Settings
Susan Athey, Mohsen Bayati, Guido Imbens +1
This paper studies a panel data setting where the goal is to estimate causal effects of an intervention by predicting the counterfactual values of outcomes for treated units, had t…