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Differentially Private Database Release via Kernel Mean Embeddings

Differentially Private Database Release via Kernel Mean Embeddings

4 October 2017
Matej Balog
Ilya O. Tolstikhin
Bernhard Schölkopf
    SyDa
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Papers citing "Differentially Private Database Release via Kernel Mean Embeddings"

4 / 4 papers shown
Title
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via
  Leverage Scores Sampling
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic
Nicolas Schreuder
E. De Vito
Lorenzo Rosasco
19
3
0
22 Nov 2023
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier
  Features
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features
Mateus P. Otto
Rafael Izbicki
27
1
0
11 Nov 2022
Model Reuse with Reduced Kernel Mean Embedding Specification
Model Reuse with Reduced Kernel Mean Embedding Specification
Xi-Zhu Wu
Wen-qi Xu
Song Liu
Zhi-Hua Zhou
15
24
0
20 Jan 2020
Consistent Kernel Mean Estimation for Functions of Random Variables
Consistent Kernel Mean Estimation for Functions of Random Variables
Carl-Johann Simon-Gabriel
Adam Scibior
Ilya O. Tolstikhin
Bernhard Schölkopf
32
14
0
19 Oct 2016
1