Robust full Bayesian methods for neural networks

Robust full Bayesian methods for neural networks

In this paper, we propose a full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. We then propose a reversible jump Markov chain Monte Carlo (...

Bibliografski detalji
Glavni autori:	Andrieu, C, de Freitas, J, Doucet, A
Format:	Conference item
Izdano:	Neural information processing systems foundation 2000

Slični predmeti

Robust Full Bayesian Learning for Radial Basis Networks
od: Andrieu, C, i dr.
Izdano: (2001)

Robust full Bayesian learning for radial basis networks.
od: Andrieu, C, i dr.
Izdano: (2001)

Sequential MCMC for Bayesian model selection
od: Andrieu, C, i dr.
Izdano: (1999)

On sequential Monte Carlo sampling methods for Bayesian filtering
od: Doucet, A, i dr.
Izdano: (2000)

Particle methods for Bayesian modeling and enhancement of speech signals
od: Vermaak, J, i dr.
Izdano: (2002)

Reversible Jump MCMC Simulated Annealing for Neural Networks
od: Andrieu, C, i dr.
Izdano: (2000)

An introduction to Monte Carlo methods for Bayesian data analysis
od: Andrieu, C, i dr.
Izdano: (2001)

Adversarial robustness of Bayesian neural networks
od: Wicker, M
Izdano: (2021)

Winsorization for Robust Bayesian Neural Networks
od: Somya Sharma, i dr.
Izdano: (2021-11-01)

Adversarial robustness certification for Bayesian neural networks
od: Wicker, M, i dr.
Izdano: (2024)

Statistical guarantees for the robustness of Bayesian neural networks
od: Cardelli, L, i dr.
Izdano: (2019)

Sequential MCMC for Bayesian model selection
od: Andrieu, C, i dr.
Izdano: (1999)

Computational advances for and from Bayesian analysis
od: Andrieu, C, i dr.
Izdano: (2004)

Bayesian deconvolution of noisy filtered point processes
od: Andrieu, C, i dr.
Izdano: (2001)

Robustness of Bayesian neural networks to gradient-based attacks
od: Carbone, G, i dr.
Izdano: (2020)

Joint Bayesian model selection and estimation of noisy sinusoids via reversible jump MCMC
od: Andrieu, C, i dr.
Izdano: (1999)

Robust simulation-based inference in cosmology with Bayesian neural networks
od: Pablo Lemos, i dr.
Izdano: (2023-01-01)

Reversible jump Markov chain Monte Carlo strategies for Bayesian model selection in autoregressive processes
od: Vermaak, J, i dr.
Izdano: (2004)

Rao−Blackwellised Particle Filtering for Dynamic Bayesian Networks
od: Doucet, A, i dr.
Izdano: (2000)

Bayesian curve fitting using MCMC with applications to signal segmentation
od: Punskaya, E, i dr.
Izdano: (2002)

Uncertainty Assisted Robust Tuberculosis Identification With Bayesian Convolutional Neural Networks
od: Zain Ul Abideen, i dr.
Izdano: (2020-01-01)

Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks
od: Emad Efatinasab, i dr.
Izdano: (2024-01-01)

Robust Motor Imagery Tasks Classification Approach Using Bayesian Neural Network
od: Daily Milanés-Hermosilla, i dr.
Izdano: (2023-01-01)

Learning Bayesian Networks That Enable Full Propagation of Evidence
od: Anthony C. Constantinou
Izdano: (2020-01-01)

Robustness guarantees for Bayesian neural networks (invited extended abstract of a keynote speaker)
od: Kwiatkowska, M
Izdano: (2022)

Sequential Monte Carlo Methods to Train Neural Network Models
od: Freitas, D, i dr.
Izdano: (2000)

Sequential Monte Carlo for model selection and estimation of neural networks
od: Andrieu, C, i dr.
Izdano: (2000)

Bayesian methods for the construction of robust chronologies
od: Lee, SWY
Izdano: (2012)

SMC Samplers for Bayesian Optimal Nonlinear Design
od: Kuck, H, i dr.
Izdano: (2006)

Bayesian Sparsification for Deep Neural Networks With Bayesian Model Reduction
od: Dimitrije Markovic, i dr.
Izdano: (2024-01-01)

A full bayesian approach for boolean genetic network inference.
od: Shengtong Han, i dr.
Izdano: (2014-01-01)

An improved method for uniform simulation of stable minimum phase real ARMA (p, q) processes
od: Andrieu, C, i dr.
Izdano: (1999)

Improved method for uniform simulation of stable minimum phase real ARMA (p,q) processes
od: Andrieu, C, i dr.
Izdano: (1999)

SMC samplers for Bayesian optimal nonlinear design
od: Kueck, H, i dr.
Izdano: (2006)

Bayesian Full information structural analysis /
od: 390275 Morales, J. A.
Izdano: (1971)

Bayesian Quantum Neural Networks
od: Nam Nguyen, i dr.
Izdano: (2022-01-01)

Quantized Input Robust Adaptive Neural Network Control for Nonlinear Systems With Full State Constraints
od: Qiyao Yang, i dr.
Izdano: (2024-01-01)

A full-capture Hierarchical Bayesian model of Pollock's Closed Robust Design and application to dolphins
od: Robert William Rankin, i dr.
Izdano: (2016-03-01)

Bayesian Policy Learning with Trans−Dimensional MCMC
od: Hoffman, M, i dr.
Izdano: (2007)

Trans-dimensional MCMC for Bayesian policy learning
od: Hoffman, M, i dr.
Izdano: (2009)