L. Jeff Hong | DeepAI

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Featured Co-authors

Liang Ding
76 publications
Jun Luo
55 publications
Wenhao Li
47 publications
Xiaowei Zhang
20 publications
Ningyuan Chen
18 publications
Weiwei Fan
3 publications
Haihui Shen
2 publications
Tan Wan
1 publication
Zaile Li
1 publication

∙ 03/06/2023

The (Surprising) Rate Optimality of Greedy Procedures for Large-Scale Ranking and Selection

Large-scale ranking and selection (R S), which aims to select the best...

0 Zaile Li, et al. ∙

∙ 01/15/2022

Large-Scale Inventory Optimization: A Recurrent-Neural-Networks-Inspired Simulation Approach

Many large-scale production networks include thousands types of final pr...

0 Tan Wan, et al. ∙

∙ 05/09/2021

Surrogate-Based Simulation Optimization

Simulation models are widely used in practice to facilitate decision-mak...

0 L. Jeff Hong, et al. ∙

∙ 09/17/2020

Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection

We consider a contextual online learning (multi-armed bandit) problem wi...

0 Wenhao Li, et al. ∙

∙ 08/01/2020

Review on Ranking and Selection: A New Perspective

In this paper, we briefly review the development of ranking-and-selectio...

0 L. Jeff Hong, et al. ∙

∙ 07/15/2019

A Dimension-free Algorithm for Contextual Continuum-armed Bandits

In contextual continuum-armed bandits, the contexts x and the arms y are...

0 Wenhao Li, et al. ∙

∙ 06/12/2019

Knowledge Gradient for Selection with Covariates: Consistency and Computation

Knowledge gradient is a design principle for developing Bayesian sequent...

0 Xiaowei Zhang, et al. ∙

∙ 03/14/2019

Distributionally Robust Selection of the Best

Specifying a proper input distribution is often a challenging task in si...

0 Weiwei Fan, et al. ∙

∙ 10/07/2017

Ranking and Selection with Covariates for Personalized Decision Making

We consider a ranking and selection problem in the context of personaliz...

0 Haihui Shen, et al. ∙

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