Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
0810.5655
Cited By
Gibbs posterior for variable selection in high-dimensional classification and data mining
31 October 2008
Wenxin Jiang
M. Tanner
Re-assign community
ArXiv (abs)
PDF
HTML
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
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
α
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
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
1