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Solving Interpretable Kernel Dimension Reduction
v1v2v3 (latest)

Solving Interpretable Kernel Dimension Reduction

Neural Information Processing Systems (NeurIPS), 2019
6 September 2019
Chieh-Tsai Wu
Jared Miller
Yale Chang
Octavia Camps
Jennifer Dy
ArXiv (abs)PDFHTML

Papers citing "Solving Interpretable Kernel Dimension Reduction"

5 / 5 papers shown
Explaining Kernel Clustering via Decision Trees
Explaining Kernel Clustering via Decision Trees
Maximilian Fleissner
L. C. Vankadara
Debarghya Ghoshdastidar
FAtt
252
7
0
15 Feb 2024
Interpretable Dimensionality Reduction by Feature Preserving Manifold
  Approximation and Projection
Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection
Yang Yang
Hongjian Sun
Jialei Gong
Di Yu
FAtt
306
5
0
17 Nov 2022
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial
  Robustness
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial RobustnessNeural Information Processing Systems (NeurIPS), 2021
Zifeng Wang
T. Jian
A. Masoomi
Stratis Ioannidis
Jennifer Dy
AAML
297
38
0
04 Jun 2021
Feature space approximation for kernel-based supervised learning
Feature space approximation for kernel-based supervised learningKnowledge-Based Systems (KBS), 2020
Patrick Gelß
Stefan Klus
Ingmar Schuster
Christof Schütte
280
6
0
25 Nov 2020
Kernel Dependence Network
Kernel Dependence Network
Chieh-Tsai Wu
A. Masoomi
Arthur Gretton
Jennifer Dy
252
0
0
04 Nov 2020
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