On some properties of the low-dimensional Gumbel perturbations in the Perturb-and-MAP model-Reference-Cited by-同舟云学术

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On some properties of the low-dimensional Gumbel perturbations in the Perturb-and-MAP model

Published:2016-08 Issue: Volume:115 Page:8-15
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Tomczak Jakub M.

Funder

European Union within the Human Capital Strategy

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference19 articles.

1. Convex Optimization;Boyd,2004

2. Scalable services via egress admission control;Cetinkaya;IEEE Trans. Multimedia,2001

3. An Introduction to Statistical Modeling of Extreme Values;Coles,2001

4. Elements of Information Theory;Cover,2012

5. Gane, A., Hazan, T., Jaakkola, T., 2014. Learning with maximum A-Posteriori perturbation models, in: Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, pp. 247–256.

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1. Energy-Based Models;Deep Generative Modeling;2024

2. Energy-Based Models;Deep Generative Modeling;2021-12-15

3. High Dimensional Inference With Random Maximum A-Posteriori Perturbations;IEEE Transactions on Information Theory;2019-10

4. Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines;Neural Processing Letters;2018-10-03

5. Domain Adaptation for Image Analysis: An Unsupervised Approach Using Boltzmann Machines Trained by Perturbation;Advances in Intelligent Systems and Computing;2016-11-05

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