ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1111.4246
  4. Cited By
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo

The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo

18 November 2011
Matthew D. Hoffman
Andrew Gelman
ArXivPDFHTML

Papers citing "The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo"

50 / 893 papers shown
Title
Renormalizing Diffusion Models
Renormalizing Diffusion Models
Jordan S. Cotler
Semon Rezchikov
DiffM
AI4CE
35
11
0
23 Aug 2023
Nonlinear Hamiltonian Monte Carlo & its Particle Approximation
Nonlinear Hamiltonian Monte Carlo & its Particle Approximation
Nawaf Bou-Rabee
Katharina Schuh
23
7
0
22 Aug 2023
Bayesian polynomial neural networks and polynomial neural ordinary
  differential equations
Bayesian polynomial neural networks and polynomial neural ordinary differential equations
Colby Fronk
Jaewoong Yun
Prashant Singh
Linda R. Petzold
BDL
24
4
0
17 Aug 2023
Monte Carlo guided Diffusion for Bayesian linear inverse problems
Monte Carlo guided Diffusion for Bayesian linear inverse problems
Gabriel Victorino Cardoso
Yazid Janati
Sylvain Le Corff
Eric Moulines
DiffM
23
28
0
15 Aug 2023
Perfect simulation from unbiased simulation
Perfect simulation from unbiased simulation
G. Leigh
Wen-Hsi Yang
Montana Wickens
Amanda R. Northrop Queensland Department of Agriculture
10
1
0
14 Aug 2023
Towards the Development of an Uncertainty Quantification Protocol for
  the Natural Gas Industry
Towards the Development of an Uncertainty Quantification Protocol for the Natural Gas Industry
Babajide Kolade
14
0
0
05 Aug 2023
Simulation-based inference using surjective sequential neural likelihood
  estimation
Simulation-based inference using surjective sequential neural likelihood estimation
Simon Dirmeier
Carlo Albert
F. Pérez-Cruz
26
6
0
02 Aug 2023
Learning Regionalization using Accurate Spatial Cost Gradients within a
  Differentiable High-Resolution Hydrological Model: Application to the French
  Mediterranean Region
Learning Regionalization using Accurate Spatial Cost Gradients within a Differentiable High-Resolution Hydrological Model: Application to the French Mediterranean Region
Ngo Nghi Truyen Huynh
P. Garambois
Franccois Colleoni
B. Renard
H. Roux
J. Demargne
M. Jay-Allemand
P. Javelle
19
6
0
02 Aug 2023
An Agent-Based Model Framework for Utility-Based Cryptoeconomies
An Agent-Based Model Framework for Utility-Based Cryptoeconomies
Kiran Karra
Tom Mellan
Maria Silva
Juan P. Madrigal-Cianci
Axel Cubero Cortes
Zixuan Zhang
8
1
0
27 Jul 2023
Rapid and Scalable Bayesian AB Testing
Rapid and Scalable Bayesian AB Testing
S. Chennu
Andrew Maher
C. Pangerl
Subash Prabanantham
Jae Hyeon Bae
Jamie Martin
Bud Goswami
30
0
0
27 Jul 2023
Scaling Integer Arithmetic in Probabilistic Programs
Scaling Integer Arithmetic in Probabilistic Programs
William X. Cao
Poorva Garg
Ryan Tjoa
Steven Holtzen
T. Millstein
Guy Van den Broeck
TPM
11
6
0
25 Jul 2023
Field-Level Inference with Microcanonical Langevin Monte Carlo
Field-Level Inference with Microcanonical Langevin Monte Carlo
Adrian E Bayer
U. Seljak
Chirag Modi
28
9
0
18 Jul 2023
POMDP inference and robust solution via deep reinforcement learning: An
  application to railway optimal maintenance
POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance
Giacomo Arcieri
C. Hoelzl
Oliver Schwery
D. Štraub
K. Papakonstantinou
Eleni Chatzi
16
13
0
16 Jul 2023
Bayesian Analysis of Beta Autoregressive Moving Average Models
Bayesian Analysis of Beta Autoregressive Moving Average Models
Aline Foerster Grande
G. Pumi
G. B. Cybis
11
1
0
13 Jul 2023
On the hierarchical Bayesian modelling of frequency response functions
On the hierarchical Bayesian modelling of frequency response functions
T. Dardeno
K. Worden
N. Dervilis
Robin S. Mills
L. Bull
25
8
0
12 Jul 2023
Differentially Private Statistical Inference through $β$-Divergence
  One Posterior Sampling
Differentially Private Statistical Inference through βββ-Divergence One Posterior Sampling
Jack Jewson
Sahra Ghalebikesabi
Chris Holmes
27
2
0
11 Jul 2023
SpreadNUTS -- Moderate Dynamic Extension of Paths for No-U-Turn Sampling
  & Partitioning Visited Regions
SpreadNUTS -- Moderate Dynamic Extension of Paths for No-U-Turn Sampling & Partitioning Visited Regions
Fareed Sheriff
13
0
0
09 Jul 2023
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization
Jia-Yu Pan
Stefan Falkner
Felix Berkenkamp
Joaquin Vanschoren
32
1
0
07 Jul 2023
On the convergence of dynamic implementations of Hamiltonian Monte Carlo
  and No U-Turn Samplers
On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn Samplers
Alain Durmus
Samuel Gruffaz
Miika Kailas
E. Saksman
M. Vihola
25
5
0
07 Jul 2023
Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo
Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo
Lorenzo Nagar
Mario Fernández-Pendás
J. Sanz-Serna
E. Akhmatskaya
13
1
0
05 Jul 2023
A framework for statistical modelling of the extremes of longitudinal
  data, applied to elite swimming
A framework for statistical modelling of the extremes of longitudinal data, applied to elite swimming
Harry Spearing
J. Tawn
David Irons
Tim Paulden
11
0
0
21 Jun 2023
A Bayesian Take on Gaussian Process Networks
A Bayesian Take on Gaussian Process Networks
Enrico Giudice
Jack Kuipers
G. Moffa
GP
29
3
0
20 Jun 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics
  Approach
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Xingchen Wan
Vu Nguyen
Harald Oberhauser
Michael A. Osborne
28
5
0
09 Jun 2023
Real-time whole-heart electromechanical simulations using Latent Neural
  Ordinary Differential Equations
Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations
M. Salvador
M. Strocchi
Francesco Regazzoni
Luca Dede'
Steven Niederer
A. Quarteroni
AI4CE
12
3
0
08 Jun 2023
Correction of Errors in Preference Ratings from Automated Metrics for
  Text Generation
Correction of Errors in Preference Ratings from Automated Metrics for Text Generation
Jan Deriu
Pius von Daniken
Don Tuggener
Mark Cieliebak
27
2
0
06 Jun 2023
Structured Voronoi Sampling
Structured Voronoi Sampling
Afra Amini
Li Du
Ryan Cotterell
DiffM
27
1
0
05 Jun 2023
Gibbs Sampling the Posterior of Neural Networks
Gibbs Sampling the Posterior of Neural Networks
Giovanni Piccioli
Emanuele Troiani
Lenka Zdeborová
33
2
0
05 Jun 2023
An information field theory approach to Bayesian state and parameter
  estimation in dynamical systems
An information field theory approach to Bayesian state and parameter estimation in dynamical systems
Kairui Hao
Ilias Bilionis
14
4
0
03 Jun 2023
Learning to solve Bayesian inverse problems: An amortized variational
  inference approach using Gaussian and Flow guides
Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides
Sharmila Karumuri
Ilias Bilionis
17
2
0
31 May 2023
Bayesian inference and neural estimation of acoustic wave propagation
Bayesian inference and neural estimation of acoustic wave propagation
Yongchao Huang
Yuhang He
Hong Ge
29
0
0
28 May 2023
On Consistent Bayesian Inference from Synthetic Data
On Consistent Bayesian Inference from Synthetic Data
Ossi Raisa
Joonas Jälkö
Antti Honkela
SyDa
26
2
0
26 May 2023
Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and
  Application in Nuclear System Thermal-Hydraulics Codes
Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Application in Nuclear System Thermal-Hydraulics Codes
Chen Wang
Xu Wu
T. Kozłowski
11
5
0
26 May 2023
Learning Rate Free Sampling in Constrained Domains
Learning Rate Free Sampling in Constrained Domains
Louis Sharrock
Lester W. Mackey
Christopher Nemeth
33
2
0
24 May 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its
  Posterior Inference
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Insung Kong
Dongyoon Yang
Jongjin Lee
Ilsang Ohn
Gyuseung Baek
Yongdai Kim
BDL
23
4
0
24 May 2023
Parameter estimation from an Ornstein-Uhlenbeck process with measurement
  noise
Parameter estimation from an Ornstein-Uhlenbeck process with measurement noise
Simon Carter
Lilianne Mujica-Parodi
H. Strey
36
0
0
22 May 2023
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile
  Time
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time
Pratik Fegade
Tianqi Chen
Phillip B. Gibbons
T. Mowry
19
2
0
17 May 2023
Model-based Validation as Probabilistic Inference
Model-based Validation as Probabilistic Inference
Harrison Delecki
Anthony Corso
Mykel J. Kochenderfer
20
7
0
17 May 2023
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models
glmmPen: High Dimensional Penalized Generalized Linear Mixed Models
H. Heiling
N. Rashid
Quefeng Li
Joseph G. Ibrahim
11
4
0
14 May 2023
Efficient Computation of High-Dimensional Penalized Generalized Linear
  Mixed Models by Latent Factor Modeling of the Random Effects
Efficient Computation of High-Dimensional Penalized Generalized Linear Mixed Models by Latent Factor Modeling of the Random Effects
H. Heiling
N. Rashid
Quefeng Li
X. Peng
Jen Jen Yeh
Joseph G. Ibrahim
9
4
0
14 May 2023
Robustness of Bayesian ordinal response model against outliers via
  divergence approach
Robustness of Bayesian ordinal response model against outliers via divergence approach
Tomotaka Momozaki
Tomoyuki Nakagawa
17
1
0
12 May 2023
Locking and Quacking: Stacking Bayesian model predictions by log-pooling
  and superposition
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition
Yuling Yao
L. Carvalho
Diego Mesquita
Yann McLatchie
14
3
0
12 May 2023
Using a Bayesian-Inference Approach to Calibrating Models for Simulation
  in Robotics
Using a Bayesian-Inference Approach to Calibrating Models for Simulation in Robotics
H. Unjhawala
Ruochun Zhang
Weihua Hu
Jinlong Wu
R. Serban
Dan Negrut
23
3
0
11 May 2023
A Generative Modeling Framework for Inferring Families of Biomechanical
  Constitutive Laws in Data-Sparse Regimes
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes
Minglang Yin
Zongren Zou
Enrui Zhang
C. Cavinato
J. Humphrey
George Karniadakis
SyDa
MedIm
AI4CE
53
11
0
04 May 2023
What changes when you randomly choose BPE merge operations? Not much
What changes when you randomly choose BPE merge operations? Not much
Jonne Saleva
Constantine Lignos
22
6
0
04 May 2023
Lowering the Entry Bar to HPC-Scale Uncertainty Quantification
Lowering the Entry Bar to HPC-Scale Uncertainty Quantification
L. Seelinger
A. Reinarz
J. Bénézech
Mikkel B. Lykkegaard
L. Tamellini
Robert Scheichl
11
3
0
27 Apr 2023
Mixtures of Gaussian process experts based on kernel stick-breaking
  processes
Mixtures of Gaussian process experts based on kernel stick-breaking processes
Yuji Saikai
Khue-Dung Dang
17
0
0
26 Apr 2023
Leveraging Human Feedback to Evolve and Discover Novel Emergent
  Behaviors in Robot Swarms
Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms
Connor Mattson
Daniel S. Brown
16
5
0
25 Apr 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning
Self-Correcting Bayesian Optimization through Bayesian Active Learning
Carl Hvarfner
E. Hellsten
Frank Hutter
Luigi Nardi
GP
35
14
0
21 Apr 2023
A tutorial on the Bayesian statistical approach to inverse problems
A tutorial on the Bayesian statistical approach to inverse problems
Faaiq G. Waqar
Swati Patel
Cory M. Simon
11
5
0
15 Apr 2023
Bayesian Inference for Jump-Diffusion Approximations of Biochemical
  Reaction Networks
Bayesian Inference for Jump-Diffusion Approximations of Biochemical Reaction Networks
Derya Altıntan
Bastian Alt
Heinz Koeppl
13
0
0
13 Apr 2023
Previous
123456...161718
Next