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

758 citations

Showing 2017Show all

5 papers · 1 filter

stat.ML2017★ 6 cited

Markov Decision Processes with Continuous Side Information

Aditya Modi, Nan Jiang, Satinder Singh +1

We consider a reinforcement learning (RL) setting in which the agent interacts with a sequence of episodic MDPs. At the start of each episode the agent has access to some side-info…

stat.ML2017★ 1 cited

Disagreement-Based Combinatorial Pure Exploration: Sample Complexity Bounds and an Efficient Algorithm

Tongyi Cao, Akshay Krishnamurthy

We design new algorithms for the combinatorial pure exploration problem in the multi-arm bandit framework. In this problem, we are given distributions and a collection of subse…

cs.GT2017★ 3 cited

Learning in the Repeated Secretary Problem

Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri +1

In the classical secretary problem, one attempts to find the maximum of an unknown and unlearnable distribution through sequential search. In many real-world searches, however, dis…

cs.GT2017★ 1 cited

A Polynomial Time Algorithm for Spatio-Temporal Security Games

Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi +1

An ever-important issue is protecting infrastructure and other valuable targets from a range of threats from vandalism to theft to piracy to terrorism. The "defender" can rarely af…

cs.IR2017★ 70 cited

Auditing Search Engines for Differential Satisfaction Across Demographics

Rishabh Mehrotra, Ashton Anderson, Fernando Diaz +3

Many online services, such as search engines, social media platforms, and digital marketplaces, are advertised as being available to any user, regardless of their age, gender, or o…