758 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Microsoft (United States)US53 papers
- Cornell UniversityUS15 papers
- Carnegie Mellon UniversityUS9 papers
- University of Massachusetts AmherstUS8 papers
- Princeton UniversityUS7 papers
- Columbia UniversityUS6 papers
- Microsoft Research (United Kingdom)GB6 papers
- University of PennsylvaniaUS6 papers
- University of Maryland, College ParkUS5 papers
- University of MichiganUS5 papers
- Harvard UniversityUS4 papers
- Stanford UniversityUS4 papers
5 papers · 1 filter
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…
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…
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…
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…
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…