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Gaining Free or Low-Cost Transparency with Interpretable Partial
  Substitute
v1v2 (latest)

Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute

12 February 2018
Tong Wang
ArXiv (abs)PDFHTML

Papers citing "Gaining Free or Low-Cost Transparency with Interpretable Partial Substitute"

2 / 2 papers shown
Title
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani
Daniel Malinsky
I. Shpitser
CML
192
16
0
10 Jan 2025
Model-Agnostic Linear Competitors -- When Interpretable Models Compete
  and Collaborate with Black-Box Models
Model-Agnostic Linear Competitors -- When Interpretable Models Compete and Collaborate with Black-Box Models
Hassan Rafique
Tong Wang
Qihang Lin
49
4
0
23 Sep 2019
1