activity
20182022
most citedDiversifying the Genomic Data Science Research Community

16 citations · 24 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2022

Sharp bounds on the price of bandit feedback for several models of mistake-bounded online learning

Raymond Feng, Jesse Geneson, Andrew Lee +1

We determine sharp bounds on the price of bandit feedback for several variants of the mistake-bound model. The first part of the paper presents bounds on the -input weak reinfor…

q-bio.OT2022★ 16 cited

Diversifying the Genomic Data Science Research Community

The Genomic Data Science Community Network, Rosa Alcazar, Maria Alvarez +35

Over the last 20 years, there has been an explosion of genomic data collected for disease association, functional analyses, and other large-scale discoveries. At the same time, the…

cs.RO2020★ 2 cited

Mechanical Search on Shelves using Lateral Access X-RAY

Huang Huang, Marcus Dominguez-Kuhne, Jeffrey Ichnowski +7

Efficiently finding an occluded object with lateral access arises in many contexts such as warehouses, retail, healthcare, shipping, and homes. We introduce LAX-RAY (Lateral Access…

stat.ME2020

Exactly computing the tail of the Poisson-Binomial Distribution

Noah Peres, Andrew Lee, Uri Keich

We offer ShiftConvolvePoibin, a fast exact method to compute the tail of a Poisson-Binomial distribution (PBD). Our method employs an exponential shift to retain its accuracy when…

cs.CV2018★ 6 cited

Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data

Michael Danielczuk, Matthew Matl, Saurabh Gupta +4

The ability to segment unknown objects in depth images has potential to enhance robot skills in grasping and object tracking. Recent computer vision research has demonstrated that…

cs.CR2018

A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation

Ruimin Sun, Marcus Botacin, Nikolaos Sapountzis +6

A promising avenue for improving the effectiveness of behavioral-based malware detectors would be to combine fast traditional machine learning detectors with high-accuracy, but tim…