Ningyuan Chen | DeepAI

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L. Jeff Hong
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∙ 06/28/2023

Allocating Divisible Resources on Arms with Unknown and Random Rewards

We consider a decision maker allocating one unit of renewable and divisi...

0 Ningyuan Chen, et al. ∙

∙ 11/20/2022

Algorithmic Decision-Making Safeguarded by Human Knowledge

Commercial AI solutions provide analysts and managers with data-driven b...

0 Ningyuan Chen, et al. ∙

∙ 09/11/2022

Learning Consumer Preferences from Bundle Sales Data

Product bundling is a common selling mechanism used in online retailing....

17 Ningyuan Chen, et al. ∙

∙ 01/05/2022

Bridging Adversarial and Nonstationary Multi-armed Bandit

In the multi-armed bandit framework, there are two formulations that are...

4 Ningyuan Chen, et al. ∙

∙ 07/31/2021

Debiasing Samples from Online Learning Using Bootstrap

It has been recently shown in the literature that the sample averages fr...

2 Ningyuan Chen, et al. ∙

∙ 07/08/2021

Sublinear Regret for Learning POMDPs

We study the model-based undiscounted reinforcement learning for partial...

7 Yi Xiong, et al. ∙

∙ 06/10/2021

Distributionally Robust Prescriptive Analytics with Wasserstein Distance

In prescriptive analytics, the decision-maker observes historical sample...

5 Tianyu Wang, et al. ∙

∙ 06/07/2021

Multi-armed Bandit Requiring Monotone Arm Sequences

In many online learning or multi-armed bandit problems, the taken action...

0 Ningyuan Chen, et al. ∙

∙ 12/07/2020

Revenue Maximization and Learning in Products Ranking

We consider the revenue maximization problem for an online retailer who ...

0 Ningyuan Chen, 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. ∙

∙ 05/16/2020

Learning and Optimization with Seasonal Patterns

Seasonality is a common form of non-stationary patterns in the business ...

0 Ningyuan Chen, et al. ∙

∙ 01/26/2020

Regime Switching Bandits

We study a multi-armed bandit problem where the rewards exhibit regime-s...

6 Xiang Zhou, et al. ∙

∙ 08/03/2019

The Use of Binary Choice Forests to Model and Estimate Discrete Choice Models

We show the equivalence of discrete choice models and the class of binar...

3 Ningyuan Chen, 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. ∙

∙ 12/20/2018

A Primal-dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint

A firm is selling a product to different types (based on the features su...

0 Ningyuan Chen, et al. ∙

∙ 05/03/2018

Nonparametric Learning and Optimization with Covariates

Modern decision analytics frequently involves the optimization of an obj...

0 Ningyuan Chen, et al. ∙

∙ 01/27/2017

Boosting hazard regression with time-varying covariates

Consider a left-truncated right-censored survival process whose evolutio...

0 Donald K. K. Lee, et al. ∙

∙ 10/30/2016

Super-resolution estimation of cyclic arrival rates

Exploiting the fact that most arrival processes exhibit cyclic behaviour...

0 Ningyuan Chen, et al. ∙

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