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Patterns of Scalable Bayesian Inference

Patterns of Scalable Bayesian Inference

16 February 2016
E. Angelino
Matthew J. Johnson
Ryan P. Adams
ArXivPDFHTML

Papers citing "Patterns of Scalable Bayesian Inference"

18 / 18 papers shown
Title
Calibrating AI Models for Wireless Communications via Conformal
  Prediction
Calibrating AI Models for Wireless Communications via Conformal Prediction
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
24
6
0
15 Dec 2022
Client Selection for Federated Bayesian Learning
Client Selection for Federated Bayesian Learning
Jiarong Yang
Yuan Liu
Rahif Kassab
FedML
24
11
0
11 Dec 2022
Bayesian Continual Learning via Spiking Neural Networks
Bayesian Continual Learning via Spiking Neural Networks
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
BDL
28
17
0
29 Aug 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and
  Inference in Sparsity-Aware Modeling
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling
Lei Cheng
Feng Yin
Sergios Theodoridis
S. Chatzis
Tsung-Hui Chang
60
74
0
28 May 2022
Bayesian Active Meta-Learning for Black-Box Optimization
Bayesian Active Meta-Learning for Black-Box Optimization
I. Nikoloska
Osvaldo Simeone
13
4
0
19 Oct 2021
Pathfinder: Parallel quasi-Newton variational inference
Pathfinder: Parallel quasi-Newton variational inference
Lu Zhang
Bob Carpenter
A. Gelman
Aki Vehtari
41
40
0
09 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and
  Equalization
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
18
12
0
02 Aug 2021
Federated Generalized Bayesian Learning via Distributed Stein
  Variational Gradient Descent
Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
Rahif Kassab
Osvaldo Simeone
FedML
12
45
0
11 Sep 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of
  Multimodal Posteriors
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors
Yuling Yao
Aki Vehtari
Andrew Gelman
27
60
0
22 Jun 2020
High-dimensional macroeconomic forecasting using message passing
  algorithms
High-dimensional macroeconomic forecasting using message passing algorithms
Dimitris Korobilis
14
27
0
23 Apr 2020
Markovian Score Climbing: Variational Inference with KL(p||q)
Markovian Score Climbing: Variational Inference with KL(p||q)
C. A. Naesseth
Fredrik Lindsten
David M. Blei
110
54
0
23 Mar 2020
Embarrassingly parallel MCMC using deep invertible transformations
Embarrassingly parallel MCMC using deep invertible transformations
Diego Mesquita
P. Blomstedt
Samuel Kaski
9
18
0
11 Mar 2019
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural
  Transport
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport
Matthew Hoffman
Pavel Sountsov
Joshua V. Dillon
I. Langmore
Dustin Tran
Srinivas Vasudevan
BDL
21
103
0
09 Mar 2019
Robust and Scalable Models of Microbiome Dynamics
Robust and Scalable Models of Microbiome Dynamics
T. Gibson
Georg Gerber
75
35
0
11 May 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Trevor Campbell
Tamara Broderick
14
136
0
05 Feb 2018
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
PASS-GLM: polynomial approximate sufficient statistics for scalable
  Bayesian GLM inference
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
Jonathan H. Huggins
Ryan P. Adams
Tamara Broderick
13
32
0
26 Sep 2017
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
179
3,262
0
09 Jun 2012
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