research
∙
08/22/2023
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making
Historically, much of machine learning research has focused on the perfo...
share
research
∙
01/23/2023
Congested Bandits: Optimal Routing via Short-term Resets
For traffic routing platforms, the choice of which route to recommend to...
research
∙
11/04/2022
Online Learning and Bandits with Queried Hints
We consider the classic online learning and stochastic multi-armed bandi...
research
∙
06/23/2022
Affinity-Aware Graph Networks
Graph Neural Networks (GNNs) have emerged as a powerful technique for le...
research
∙
06/09/2021
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
We consider the following variant of contextual linear bandits motivated...
research
∙
09/20/2020
Almost Envy-free Repeated Matching in Two-sided Markets
A two-sided market consists of two sets of agents, each of whom have pre...
research
∙
01/19/2020
Predict and Match: Prophet Inequalities with Uncertain Supply
We consider the problem of selling perishable items to a stream of buyer...
research
∙
04/08/2019
On the Learnability of Deep Random Networks
In this paper we study the learnability of deep random networks from bot...
research
∙
09/07/2018
Cost Sharing in Two-Sided Markets
Motivated by the emergence of popular service-based two-sided markets wh...
research
∙
02/08/2018
Minimizing Latency in Online Ride and Delivery Services
Motivated by the popularity of online ride and delivery services, we stu...
research
∙
11/30/2017