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Guaranteed Deterministic Bounds on the Total Variation Distance between
  Univariate Mixtures

Guaranteed Deterministic Bounds on the Total Variation Distance between Univariate Mixtures

29 June 2018
Frank Nielsen
Ke Sun
ArXiv (abs)PDFHTML

Papers citing "Guaranteed Deterministic Bounds on the Total Variation Distance between Univariate Mixtures"

6 / 6 papers shown
Title
Unlocking High-Accuracy Differentially Private Image Classification
  through Scale
Unlocking High-Accuracy Differentially Private Image Classification through Scale
Soham De
Leonard Berrada
Jamie Hayes
Samuel L. Smith
Borja Balle
97
233
0
28 Apr 2022
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Weikai Li
Meng Cao
Songcan Chen
78
7
0
07 Apr 2022
Fast approximations of the Jeffreys divergence between univariate
  Gaussian mixture models via exponential polynomial densities
Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities
Frank Nielsen
101
12
0
13 Jul 2021
Understanding Adversarial Attacks on Observations in Deep Reinforcement
  Learning
Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning
You Qiaoben
Chengyang Ying
Xinning Zhou
Hang Su
Jun Zhu
Bo Zhang
AAML
105
17
0
30 Jun 2021
High Probability Lower Bounds for the Total Variation Distance
High Probability Lower Bounds for the Total Variation Distance
Loris Michel
Jeffrey Näf
N. Meinshausen
32
3
0
12 May 2020
On The Chain Rule Optimal Transport Distance
On The Chain Rule Optimal Transport Distance
Frank Nielsen
Ke Sun
OT
24
3
0
19 Dec 2018
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