research
∙
08/10/2023
A Neural Network Based Choice Model for Assortment Optimization
Discrete-choice models are used in economics, marketing and revenue mana...
share
research
∙
07/06/2023
When No-Rejection Learning is Optimal for Regression with Rejection
Learning with rejection is a prototypical model for studying the interac...
research
∙
07/06/2023
Understanding Uncertainty Sampling
Uncertainty sampling is a prevalent active learning algorithm that queri...
research
∙
05/20/2023
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
In this paper, we consider the uncertainty quantification problem for re...
research
∙
01/26/2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
In this paper, we study the predict-then-optimize problem where the outp...
research
∙
08/19/2022
Deep Learning for Choice Modeling
Choice modeling has been a central topic in the study of individual pref...
research
∙
08/15/2022
A Unified Image Preprocessing Framework For Image Compression
With the development of streaming media technology, increasing communica...
research
∙
07/23/2022
Learning to Sell a Focal-ancillary Combination
A number of products are sold in the following sequence: First a focal p...
research
∙
05/25/2022
Non-stationary Bandits with Knapsacks
In this paper, we study the problem of bandits with knapsacks (BwK) in a...
research
∙
12/25/2021
On Dynamic Pricing with Covariates
We consider the dynamic pricing problem with covariates under a generali...
research
∙
12/06/2021
Online Bin Packing with Known T
In the online bin packing problem, a sequence of items is revealed one a...
research
∙
10/27/2021
Fairer LP-based Online Allocation
In this paper, we consider a Linear Program (LP)-based online resource a...
research
∙
02/12/2021
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks
In this paper, we study the bandits with knapsacks (BwK) problem and dev...
research
∙
12/13/2020
Online Stochastic Optimization with Wasserstein Based Non-stationarity
We consider a general online stochastic optimization problem with multip...
research
∙
03/05/2020
Simple and Fast Algorithm for Binary Integer and Online Linear Programming
In this paper, we develop a simple and fast online algorithm for solving...
research
∙
09/12/2019
Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds
We study an online linear programming (OLP) problem under a random input...
research
∙
11/15/2017
Hierarchical Modeling of Seed Variety Yields and Decision Making for Future Planting Plans
Eradicating hunger and malnutrition is a key development goal of the 21s...
research
∙
11/15/2017
Quantile Markov Decision Process
In this paper, we consider the problem of optimizing the quantiles of th...
research
∙
06/29/2017
