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Model Interpretation: A Unified Derivative-based Framework for
  Nonparametric Regression and Supervised Machine Learning
v1v2 (latest)

Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning

22 August 2018
Xiaoyu Liu
Jie Chen
Joel Vaughan
V. Nair
Agus Sudjianto
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning"

4 / 4 papers shown
Title
Multi-resolution Interpretation and Diagnostics Tool for Natural
  Language Classifiers
Multi-resolution Interpretation and Diagnostics Tool for Natural Language Classifiers
P. Jalali
Nengfeng Zhou
Yufei Yu
AAML
62
0
0
06 Mar 2023
Bias, Fairness, and Accountability with AI and ML Algorithms
Bias, Fairness, and Accountability with AI and ML Algorithms
Neng-Zhi Zhou
Zach Zhang
V. Nair
Harsh Singhal
Jie Chen
Agus Sudjianto
FaML
123
9
0
13 May 2021
Enhancing Explainability of Neural Networks through Architecture
  Constraints
Enhancing Explainability of Neural Networks through Architecture Constraints
Zebin Yang
Aijun Zhang
Agus Sudjianto
AAML
52
87
0
12 Jan 2019
Variable selection for Gaussian processes via sensitivity analysis of
  the posterior predictive distribution
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution
Topi Paananen
Juho Piironen
Michael Riis Andersen
Aki Vehtari
132
51
0
21 Dec 2017
1