11 citations · 16 across the 4 of their papers we have counts for
7 papers
Stochastic Optimization with Bandit Sampling
Farnood Salehi, L. Elisa Celis, Patrick Thiran
Many stochastic optimization algorithms work by estimating the gradient of the cost function on the fly by sampling datapoints uniformly at random from a training set. However, the…
Fair Personalization
L. Elisa Celis, Nisheeth K. Vishnoi
Personalization is pervasive in the online space as, when combined with learning, it leads to higher efficiency and revenue by allowing the most relevant content to be served to ea…
A Distributed Learning Dynamics in Social Groups
L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi
We study a distributed learning process observed in human groups and other social animals. This learning process appears in settings in which each individual in a group is trying t…
A Model for Information Networks: Efficiency, Stability and Dynamics
L. Elisa Celis, Aida S. Mousavifar
We introduce a simple network model that is inspired by social information networks such as twitter. Agents are nodes, connecting to another agent by building a directed edge has a…
Back to the Source: an Online Approach for Sensor Placement and Source Localization
Brunella Spinelli, L. Elisa Celis, Patrick Thiran
Source localization, the act of finding the originator of a disease or rumor in a network, has become an important problem in sociology and epidemiology. The localization is done u…
Sequential Voting Promotes Collective Discovery in Social Recommendation Systems
L. Elisa Celis, Peter M. Krafft, Nathan Kobe
One goal of online social recommendation systems is to harness the wisdom of crowds in order to identify high quality content. Yet the sequential voting mechanisms that are commonl…