Search Results for author: Evimaria Terzi

Found 9 papers, 2 papers with code

Online Submodular Maximization via Online Convex Optimization

1 code implementation8 Sep 2023 Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis

We study monotone submodular maximization under general matroid constraints in the online setting.

Finding teams that balance expert load and task coverage

no code implementations3 Nov 2020 Sofia Maria Nikolakaki, Mingxiang Cai, Evimaria Terzi

The core idea in this line of work has been the strict requirement that the team of experts assigned to complete a given task should contain a superset of the skills required by the task.

Learn to Earn: Enabling Coordination within a Ride Hailing Fleet

no code implementations19 Jun 2020 Harshal A. Chaudhari, John W. Byers, Evimaria Terzi

In contrast, computer scientists primarily view it as a demand prediction problem with the goal of preemptively repositioning supply to such neighborhoods using black box coordinated multi agent deep reinforcement learning based approaches.

reinforcement-learning Reinforcement Learning (RL)

Algorithms for Hiring and Outsourcing in the Online Labor Market

no code implementations16 Feb 2020 Aris Anagnostopoulos, Carlos Castillo, Adriano Fazzone, Stefano Leonardi, Evimaria Terzi

In this paper, we provide algorithms for outsourcing and hiring workers in a general setting, where workers form a team and contribute different skills to perform a task.

Matrix completion with queries

no code implementations1 May 2017 Natali Ruchansky, Mark Crovella, Evimaria Terzi

Order&Extend is able identify and alleviate insufficient information by judiciously querying a small number of additional entries.

Matrix Completion Recommendation Systems

Targeted matrix completion

no code implementations30 Apr 2017 Natali Ruchansky, Mark Crovella, Evimaria Terzi

Classical approaches to matrix completion assume that the input partially-observed matrix is low rank.

Matrix Completion Recommendation Systems

Team Formation for Scheduling Educational Material in Massive Online Classes

no code implementations26 Mar 2017 Sanaz Bahargam, Dóra Erdos, Azer Bestavros, Evimaria Terzi

The goal is to teach students within time frame d such that their potential for learning is maximized and find the best schedule for each group.


What do row and column marginals reveal about your dataset?

no code implementations NeurIPS 2013 Behzad Golshan, John Byers, Evimaria Terzi

Numerous datasets ranging from group memberships within social networks to purchase histories on e-commerce sites are represented by binary matrices.

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