ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2411.02746
  4. Cited By
A Bayesian explanation of machine learning models based on modes and
  functional ANOVA

A Bayesian explanation of machine learning models based on modes and functional ANOVA

5 November 2024
Quan Long
ArXiv (abs)PDFHTML

Papers citing "A Bayesian explanation of machine learning models based on modes and functional ANOVA"

7 / 7 papers shown
Title
Faith-Shap: The Faithful Shapley Interaction Index
Faith-Shap: The Faithful Shapley Interaction Index
Che-Ping Tsai
Chih-Kuan Yeh
Pradeep Ravikumar
TDI
77
54
0
02 Mar 2022
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,018
0
22 May 2017
Bayesian Optimization with Gradients
Bayesian Optimization with Gradients
Jian Wu
Matthias Poloczek
A. Wilson
P. Frazier
58
210
0
13 Mar 2017
Deep Bayesian Active Learning with Image Data
Deep Bayesian Active Learning with Image Data
Y. Gal
Riashat Islam
Zoubin Ghahramani
BDLUQCV
73
1,739
0
08 Mar 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
814
39,062
0
09 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,033
0
16 Feb 2016
A Linearly-Convergent Stochastic L-BFGS Algorithm
A Linearly-Convergent Stochastic L-BFGS Algorithm
Philipp Moritz
Robert Nishihara
Michael I. Jordan
ODL
80
235
0
09 Aug 2015
1