Gibbs posterior for variable selection in high-dimensional classification and data mining

31 October 2008

Papers citing "Gibbs posterior for variable selection in high-dimensional classification and data mining"

44 / 44 papers shown

Title
Predictive variational inference: Learn the predictively optimal posterior distribution Jinlin Lai Yuling Yao BDL 94 0 0 18 Oct 2024
Temperature Optimization for Bayesian Deep Learning Kenyon Ng Chris van der Heide Liam Hodgkinson Susan Wei BDL 121 0 0 08 Oct 2024
Learning with Sparsely Permuted Data: A Robust Bayesian Approach Abhisek Chakraborty Saptati Datta 70 0 0 16 Sep 2024
Weighted Particle-Based Optimization for Efficient Generalized Posterior Calibration Masahiro Tanaka 93 0 0 08 May 2024
Generalized Posterior Calibration via Sequential Monte Carlo Sampler Masahiro Tanaka 100 2 0 25 Apr 2024
ABC-based Forecasting in State Space Models Chaya Weerasinghe Rubén Loaiza-Maya G. Martin David T. Frazier 47 1 0 02 Nov 2023
A Risk Management Perspective on Statistical Estimation and Generalized Variational Inference Aurya Javeed D. Kouri T. Surowiec 80 2 0 26 Oct 2023
Sequential Gibbs Posteriors with Applications to Principal Component Analysis Steven Winter Omar Melikechi David B. Dunson 74 2 0 19 Oct 2023
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Richard Gao Michael Deistler Jakob H. Macke 133 13 0 24 May 2023
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 86 3 0 17 Mar 2023
$Semiparametric inference using fractional posteriors$ Semiparametric inference using fractional posteriors Alice L'Huillier Luke Travis I. Castillo Kolyan Ray 74 5 0 19 Jan 2023
Bayesian Multi-task Variable Selection with an Application to Differential DAG Analysis Guanxun Li Quan Zhou 65 1 0 28 Jun 2022
Bayesian Predictive Decision Synthesis Emily Tallman M. West 66 22 0 08 Jun 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 77 26 0 20 Dec 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 193 206 0 21 Oct 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models Pengzhou (Abel) Wu Kenji Fukumizu BDL OOD CML 72 3 0 30 Sep 2021
Laplace and Saddlepoint Approximations in High Dimensions Yanbo Tang Nancy Reid 75 7 0 22 Jul 2021
Calibrating generalized predictive distributions Pei-Shien Wu Ryan Martin 100 8 0 04 Jul 2021
Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification E. Pompe 117 9 0 26 Mar 2021
Bayes posterior convergence for loss functions via almost additive Thermodynamic Formalism A. Lopes Silvia R.C. Lopes P. Varandas 66 7 0 10 Dec 2020
Gibbs posterior concentration rates under sub-exponential type losses Nicholas Syring Ryan Martin 122 29 0 08 Dec 2020
A generalized Bayes framework for probabilistic clustering T. Rigon A. Herring David B. Dunson 61 27 0 09 Jun 2020
Practical calibration of the temperature parameter in Gibbs posteriors Lucie Perrotta 50 3 0 22 Apr 2020
Gibbs posterior inference on multivariate quantiles Indrabati Bhattacharya Ryan Martin 128 21 0 03 Feb 2020
Bayesian Inference on Volatility in the Presence of Infinite Jump Activity and Microstructure Noise Qi Wang J. E. Figueroa-López Todd A. Kuffner 18 2 0 11 Sep 2019
Asymptotic normality, concentration, and coverage of generalized posteriors Jeffrey W. Miller 79 68 0 22 Jul 2019
Adaptive Variable Selection for Sequential Prediction in Multivariate Dynamic Models Isaac Lavine Michael Lindon M. West AI4TS 75 22 0 15 Jun 2019
Gibbs posterior convergence and the thermodynamic formalism K. Mcgoff S. Mukherjee A. Nobel 81 10 0 24 Jan 2019
Robust Bayes-Like Estimation: Rho-Bayes estimation Y. Baraud Lucien Birgé 59 4 0 22 Nov 2017
$α$ -Variational Inference with Statistical Guarantees Yun Yang D. Pati A. Bhattacharya 61 25 0 09 Oct 2017
General Robust Bayes Pseudo-Posterior: Exponential Convergence results with Applications A. Ghosh Tuhin Majumder A. Basu 79 8 0 31 Aug 2017
Ensemble Kalman methods for high-dimensional hierarchical dynamic space-time models Matthias Katzfuss Jonathan R. Stroud C. Wikle 119 69 0 23 Apr 2017
$Bayesian fractional posteriors$ Bayesian fractional posteriors A. Bhattacharya D. Pati Yun Yang 121 110 0 03 Nov 2016
On the properties of variational approximations of Gibbs posteriors Pierre Alquier James Ridgway Nicolas Chopin 118 256 0 12 Jun 2015
Comment on Article by Dawid and Musio Matthias Katzfuss Anirban Bhattacharya 22 1 0 11 May 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 147 268 0 11 Dec 2014
Gaussian Approximation of General Nonparametric Posterior Distributions Zuofeng Shang Guang Cheng 84 4 0 13 Nov 2014
Empirical Bayes posterior concentration in sparse high-dimensional linear models Ryan Martin Raymond Mess S. Walker 232 104 0 30 Jun 2014
On Oracle Property and Asymptotic Validity of Bayesian Generalized Method of Moments Cheng Li Wenxin Jiang 101 15 0 26 May 2014
Learning Subspaces of Different Dimension Brian St. Thomas Lizhen Lin Lek-Heng Lim Sayan Mukherjee 54 8 0 27 Apr 2014
A General Framework for Updating Belief Distributions Pier Giovanni Bissiri Chris Holmes S. Walker 261 481 0 27 Jun 2013
Asymptotically minimax empirical Bayes estimation of a sparse normal mean vector Ryan Martin S. Walker 109 65 0 27 Apr 2013
Quasi-Bayesian analysis of nonparametric instrumental variables models Kengo Kato 228 40 0 10 Apr 2012
Posterior consistency of nonparametric conditional moment restricted models Yuan Liao Wenxin Jiang 121 33 0 24 May 2011