research
∙
02/24/2023
Balanced Off-Policy Evaluation for Personalized Pricing
We consider a personalized pricing problem in which we have data consist...
share
research
∙
10/16/2022
A lower bound for the smallest eigenvalue of a graph and an application to the associahedron graph
In this paper, we obtain a lower bound for the smallest eigenvalue of a ...
research
∙
08/25/2021
ETA Prediction with Graph Neural Networks in Google Maps
Travel-time prediction constitutes a task of high importance in transpor...
research
∙
07/26/2021
Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization
Motivated by the poor performance of cross-validation in settings where ...
research
∙
06/08/2021
Micro BTB: A High Performance and Lightweight Last-Level Branch Target Buffer for Servers
High-performance branch target buffers (BTBs) and the L1I cache are key ...
research
∙
11/23/2020
Balance Regularized Neural Network Models for Causal Effect Estimation
Estimating individual and average treatment effects from observational d...
research
∙
06/01/2019
Data-Pooling in Stochastic Optimization
Managing large-scale systems often involves simultaneously solving thous...
research
∙
05/21/2014
