output
20092026
most citedImproving fairness in machine learning systems: What do industry practitioners need?

758 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.DSShow all

4 papers · 1 filter

cs.DS2018

Adversarial Bandits with Knapsacks

Nicole Immorlica, Karthik Abinav Sankararaman, Robert Schapire +1

We consider Bandits with Knapsacks (henceforth, BwK), a general model for multi-armed bandits under supply/budget constraints. In particular, a bandit algorithm needs to solve a we…

cs.DS2015★ 6 cited

Public Transit Labeling

Daniel Delling, Julian Dibbelt, Thomas Pajor +1

We study the journey planning problem in public transit networks. Developing efficient preprocessing-based speedup techniques for this problem has been challenging: current approac…

cs.DS2014★ 6 cited

Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems

Chien-Ju Ho, Aleksandrs Slivkins, Jennifer Wortman Vaughan

Crowdsourcing markets have emerged as a popular platform for matching available workers with tasks to complete. The payment for a particular task is typically set by the task's req…

cs.DS2009★ 240 cited

Contextual Bandits with Similarity Information

Aleksandrs Slivkins

In a multi-armed bandit (MAB) problem, an online algorithm makes a sequence of choices. In each round it chooses from a time-invariant set of alternatives and receives the payoff a…