Antithetic and Monte Carlo kernel estimators for partial rankings

v1v2 (latest)

Antithetic and Monte Carlo kernel estimators for partial rankings

1 July 2018

Zoubin Ghahramani

ArXiv (abs)PDF HTML

Papers citing "Antithetic and Monte Carlo kernel estimators for partial rankings"

11 / 11 papers shown

Title
CoRTX: Contrastive Framework for Real-time Explanation Yu-Neng Chuang Guanchu Wang Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Helen Zhou 91 20 0 05 Mar 2023
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models Duc Nguyen A. Zhang 38 6 0 10 Feb 2023
Efficient XAI Techniques: A Taxonomic Survey Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Helen Zhou 74 34 0 07 Feb 2023
Approximating the Shapley Value without Marginal Contributions Patrick Kolpaczki Viktor Bengs Maximilian Muschalik Eyke Hüllermeier FAtt TDI 156 26 0 01 Feb 2023
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework E. Hellsten Artur L. F. Souza Johannes Lenfers Rubens Lacouture Olivia Hsu Adel Ejjeh Fredrik Kjolstad Michel Steuwer K. Olukotun Luigi Nardi 74 19 0 01 Dec 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang Yu-Neng Chuang Mengnan Du Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Helen Zhou FAtt 88 22 0 17 Jun 2022
The Shapley Value in Machine Learning Benedek Rozemberczki Lauren Watson Péter Bayer Hao-Tsung Yang Oliver Kiss Sebastian Nilsson Rik Sarkar TDI FAtt 119 216 0 11 Feb 2022
The Graph Cut Kernel for Ranked Data Michelangelo Conserva M. Deisenroth Sesh Kumar 27 0 0 26 May 2021
Sampling Permutations for Shapley Value Estimation Rory Mitchell Joshua N. Cooper E. Frank G. Holmes 91 121 0 25 Apr 2021
A kernel log-rank test of independence for right-censored data T. Fernandez Arthur Gretton David Rindt Dino Sejdinovic 38 9 0 08 Dec 2019
Gaussian Processes indexed on the symmetric group: prediction and learning François Bachoc Baptiste Broto Fabrice Gamboa Jean-Michel Loubes 51 0 0 16 Mar 2018