Discrete-choice models are used in economics, marketing and revenue
mana...
Learning with rejection is a prototypical model for studying the interac...
Uncertainty sampling is a prevalent active learning algorithm that queri...
In this paper, we consider the uncertainty quantification problem for
re...
In this paper, we study the predict-then-optimize problem where the outp...
Choice modeling has been a central topic in the study of individual
pref...
With the development of streaming media technology, increasing communica...
A number of products are sold in the following sequence: First a focal
p...
In this paper, we study the problem of bandits with knapsacks (BwK) in a...
We consider the dynamic pricing problem with covariates under a generali...
In the online bin packing problem, a sequence of items is revealed one a...
In this paper, we consider a Linear Program (LP)-based online resource
a...
In this paper, we study the bandits with knapsacks (BwK) problem and dev...
We consider a general online stochastic optimization problem with multip...
In this paper, we develop a simple and fast online algorithm for solving...
We study an online linear programming (OLP) problem under a random input...
Eradicating hunger and malnutrition is a key development goal of the 21s...
In this paper, we consider the problem of optimizing the quantiles of th...
In this paper, we presented a novel convolutional neural network framewo...