Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1611.01125
Cited By
Bayesian fractional posteriors
3 November 2016
A. Bhattacharya
D. Pati
Yun Yang
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Bayesian fractional posteriors"
16 / 16 papers shown
Title
Posterior and variational inference for deep neural networks with heavy-tailed weights
Ismael Castillo
Paul Egels
BDL
55
3
0
05 Jun 2024
On properties of fractional posterior in generalized reduced-rank regression
The Tien Mai
26
1
0
27 Apr 2024
Distributed Fractional Bayesian Learning for Adaptive Optimization
Yaqun Yang
Jinlong Lei
Guanghui Wen
Yiguang Hong
29
0
0
17 Apr 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression
The Tien Mai
36
1
0
19 Mar 2024
Deep Horseshoe Gaussian Processes
Ismael Castillo
Thibault Randrianarisoa
BDL
UQCV
31
5
0
04 Mar 2024
Robustness of Bayesian ordinal response model against outliers via divergence approach
Tomotaka Momozaki
Tomoyuki Nakagawa
13
1
0
12 May 2023
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation
Emma R. Cobian
J. Hauenstein
Fang Liu
Daniele E. Schiavazzi
6
4
0
01 Feb 2022
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
34
196
0
21 Oct 2021
Calibrating generalized predictive distributions
Pei-Shien Wu
Ryan Martin
24
8
0
04 Jul 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
Lorenzo Noci
Kevin Roth
Gregor Bachmann
Sebastian Nowozin
Thomas Hofmann
CML
14
23
0
11 Jun 2021
Optimal Bayesian estimation of Gaussian mixtures with growing number of components
Ilsang Ohn
Lizhen Lin
27
16
0
17 Jul 2020
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures
Badr-Eddine Chérief-Abdellatif
Pierre Alquier
35
52
0
14 May 2018
Bayes Shrinkage at GWAS scale: Convergence and Approximation Theory of a Scalable MCMC Algorithm for the Horseshoe Prior
J. Johndrow
Paulo Orenstein
A. Bhattacharya
29
23
0
02 May 2017
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes
Peter Grünwald
Nishant A. Mehta
25
71
0
01 May 2016
PAC-Bayesian Estimation and Prediction in Sparse Additive Models
Benjamin Guedj
Pierre Alquier
98
47
0
06 Aug 2012
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
135
451
0
03 Dec 2007
1