3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Uncertainty Quantification for Local Model Explanations Without Model Access
Surin Ahn, Justin Grana, Yafet Tamene +1
We present a model-agnostic algorithm for generating post-hoc explanations and uncertainty intervals for a machine learning model when only a static sample of inputs and outputs fr…
cs.SI2021★ 1 cited
Adaptive Group Testing on Networks with Community Structure: The Stochastic Block Model
Surin Ahn, Wei-Ning Chen, Ayfer Ozgur
Group testing was conceived during World War II to identify soldiers infected with syphilis using as few tests as possible, and it has attracted renewed interest during the COVID-1…
cs.LG2020★ 3 cited
Global Multiclass Classification and Dataset Construction via Heterogeneous Local Experts
Surin Ahn, Ayfer Ozgur, Mert Pilanci
In the domains of dataset construction and crowdsourcing, a notable challenge is to aggregate labels from a heterogeneous set of labelers, each of whom is potentially an expert in…