Optimal regularizations for data generation with probabilistic graphical
models

Optimal regularizations for data generation with probabilistic graphical models

2 December 2021

Arnaud Fanthomme

Francesca Rizzato

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Papers citing "Optimal regularizations for data generation with probabilistic graphical models"

11 / 11 papers shown

Title
A theoretical framework for overfitting in energy-based modeling Giovanni Catania A. Decelle Cyril Furtlehner Beatriz Seoane 149 2 0 31 Jan 2025
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning Yehuda Dar Vidya Muthukumar Richard G. Baraniuk 88 72 0 06 Sep 2021
Sparse generative modeling via parameter-reduction of Boltzmann machines: application to protein-sequence families Pierre Barrat-Charlaix Anna Paola Muntoni Kai Shimagaki M. Weigt F. Zamponi 36 18 0 23 Nov 2020
The role of regularization in classification of high-dimensional noisy Gaussian mixture Francesca Mignacco Florent Krzakala Yue M. Lu Lenka Zdeborová 40 89 0 26 Feb 2020
Generalisation error in learning with random features and the hidden manifold model Federica Gerace Bruno Loureiro Florent Krzakala M. Mézard Lenka Zdeborová 67 172 0 21 Feb 2020
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 194 743 0 19 Mar 2019
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Recurrent Neural Network Regularization Wojciech Zaremba Ilya Sutskever Oriol Vinyals ODL 146 2,776 0 08 Sep 2014
Adaptive Cluster Expansion for Inferring Boltzmann Machines with Noisy Data Simona Cocco R. Monasson 71 126 0 16 Feb 2011
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 277 957 0 02 Oct 2010
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 249 872 0 21 Nov 2008

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