activity
20172026
most citedEnd to end learning and optimization on graphs

61 citations · 253 across the 29 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

stat.ME2020

Tracking disease outbreaks from sparse data with Bayesian inference

Bryan Wilder, Michael J. Mina, Milind Tambe

The COVID-19 pandemic provides new motivation for a classic problem in epidemiology: estimating the empirical rate of transmission during an outbreak (formally, the time-varying re…

cs.SI2020★ 1 cited

Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness

Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi +5

Youth experiencing homelessness (YEH) are subject to substantially greater risk of HIV infection, compounded both by their lack of access to stable housing and the disproportionate…

cs.SI2020★ 1 cited

Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness

Eric Rice, Laura Onasch-Vera, Graham T. DiGuiseppi +5

Each year, there are nearly 4 million youth experiencing homelessness (YEH) in the United States with HIV prevalence ranging from 3 to 11.5%. Peer change agent (PCA) models for HIV…

math.OC2020★ 33 cited

Exploring Algorithmic Fairness in Robust Graph Covering Problems

Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti +4

Fueled by algorithmic advances, AI algorithms are increasingly being deployed in settings subject to unanticipated challenges with complex social effects. Motivated by real-world d…

cs.LG2020★ 5 cited

Automatically Learning Compact Quality-aware Surrogates for Optimization Problems

Kai Wang, Bryan Wilder, Andrew Perrault +1

Solving optimization problems with unknown parameters often requires learning a predictive model to predict the values of the unknown parameters and then solving the problem using…

cs.LG2020★ 5 cited

Fuzzy c-Means Clustering for Persistence Diagrams

Thomas Davies, Jack Aspinall, Bryan Wilder +1

Persistence diagrams concisely represent the topology of a point cloud whilst having strong theoretical guarantees, but the question of how to best integrate this information into…