MCMC using Hamiltonian dynamics

9 June 2012

Papers citing "MCMC using Hamiltonian dynamics"

50 / 1,032 papers shown

Title
Hug and Hop: a discrete-time, non-reversible Markov chain Monte-Carlo algorithm Matthew Ludkin Chris Sherlock 11 8 0 29 Jul 2019
Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques Michael Weylandt 6 4 0 28 Jul 2019
Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport L. Duan OT 21 11 0 24 Jul 2019
Subspace Inference for Bayesian Deep Learning Pavel Izmailov Wesley J. Maddox Polina Kirichenko T. Garipov Dmitry Vetrov A. Wilson UQCV BDL 17 141 0 17 Jul 2019
The Use of Gaussian Processes in System Identification Simo Särkkä GP AI4TS 6 8 0 13 Jul 2019
Probabilistic programming for birth-death models of evolution using an alive particle filter with delayed sampling J. Kudlicka Lawrence M. Murray F. Ronquist Thomas B. Schon 11 10 0 10 Jul 2019
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale A. G. Baydin Lei Shao W. Bhimji Lukas Heinrich Lawrence Meadows ... Philip H. S. Torr Victor W. Lee Kyle Cranmer P. Prabhat Frank D. Wood 20 55 0 08 Jul 2019
Deployable probabilistic programming David Tolpin TPM 17 7 0 20 Jun 2019
Monte Carlo simulation on the Stiefel manifold via polar expansion Michael Jauch P. Hoff David B. Dunson 17 30 0 18 Jun 2019
Analyses of Multi-collection Corpora via Compound Topic Modeling Clint P. George Wei Xia George Michailidis 11 0 0 17 Jun 2019
A Survey of Optimization Methods from a Machine Learning Perspective Shiliang Sun Zehui Cao Han Zhu Jing Zhao 22 548 0 17 Jun 2019
Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling R. Mbuvha I. Boulkaibet T. Marwala BDL 14 8 0 14 Jun 2019
Learning Deep Generative Models with Annealed Importance Sampling Xinqiang Ding David J. Freedman VLM BDL GAN 26 10 0 12 Jun 2019
Learning Symmetries of Classical Integrable Systems Roberto Bondesan A. Lamacraft 6 39 0 11 Jun 2019
Sparse Variational Inference: Bayesian Coresets from Scratch Trevor Campbell Boyan Beronov 10 38 0 07 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 21 2,285 0 06 Jun 2019
Combining Generative and Discriminative Models for Hybrid Inference Victor Garcia Satorras Zeynep Akata Max Welling 11 56 0 06 Jun 2019
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision Fredrik K. Gustafsson Martin Danelljan Thomas B. Schon OOD UQCV BDL 19 295 0 04 Jun 2019
Universal Boosting Variational Inference Trevor Campbell Xinglong Li 11 30 0 04 Jun 2019
Langevin Monte Carlo without smoothness Niladri S. Chatterji Jelena Diakonikolas Michael I. Jordan Peter L. Bartlett BDL 8 43 0 30 May 2019
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler T. Zhao Alexandre Bouchard-Coté 11 5 0 30 May 2019
Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets Rui Luo Qiang Zhang Yaodong Yang Jun Wang BDL 22 3 0 29 May 2019
Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference C. Hurwitz Kai Xu Akash Srivastava A. Buccino Matthias H Hennig DRL 6 15 0 29 May 2019
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients Yuansi Chen Raaz Dwivedi Martin J. Wainwright Bin Yu 11 100 0 29 May 2019
Conditionally Gaussian Random Sequences for an Integrated Variance Estimator with Correlation between Noise and Returns S. Peluso Antonietta Mira P. Muliere 15 1 0 28 May 2019
Accelerating Langevin Sampling with Birth-death Yulong Lu Jianfeng Lu J. Nolen 8 51 0 23 May 2019
A Condition Number for Hamiltonian Monte Carlo I. Langmore M. Dikovsky S. Geraedts Peter C. Norgaard R. V. Behren 10 6 0 23 May 2019
Output-Constrained Bayesian Neural Networks Wanqian Yang Lars Lorch Moritz Graule Srivatsan Srinivasan Anirudh Suresh Jiayu Yao Melanie F. Pradier Finale Doshi-Velez UQCV BDL 6 12 0 15 May 2019
Active embedding search via noisy paired comparisons Gregory H. Canal A. Massimino Mark A. Davenport Christopher Rozell 26 23 0 10 May 2019
A Contrastive Divergence for Combining Variational Inference and MCMC Francisco J. R. Ruiz Michalis K. Titsias BDL 11 60 0 10 May 2019
Differentiable Visual Computing Tzu-Mao Li 19 15 0 27 Apr 2019
Assessing and Visualizing Simultaneous Simulation Error Nathan Robertson James M. Flegal Dootika Vats Galin L. Jones 12 15 0 26 Apr 2019
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning Yizhe Zhu Jianwen Xie Bingchen Liu Ahmed Elgammal VLM 6 86 0 22 Apr 2019
Markov chain Monte Carlo importance samplers for Bayesian models with intractable likelihoods Jordan Franks 14 0 0 11 Apr 2019
Energy-Based Continuous Inverse Optimal Control Yifei Xu Jianwen Xie Tianyang Zhao Chris L. Baker Yibiao Zhao Ying Nian Wu 15 19 0 10 Apr 2019
Bayesian Neural Networks at Finite Temperature R. Baldock Nicola Marzari 13 2 0 08 Apr 2019
Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations P. Bansal Rico Krueger M. Bierlaire Ricardo A. Daziano T. Rashidi 12 31 0 07 Apr 2019
dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences J. Speagle 20 1,180 0 03 Apr 2019
Stochastic Gradient Hamiltonian Monte Carlo for Non-Convex Learning Huy N. Chau M. Rásonyi 17 10 0 25 Mar 2019
Posterior-based proposals for speeding up Markov chain Monte Carlo C. Pooley S. Bishop A. Doeschl-Wilson G. Marion 25 5 0 25 Mar 2019
Data Augmentation for Bayesian Deep Learning YueXing Wang Nicholas G. Polson Vadim O. Sokolov UQCV BDL 17 3 0 22 Mar 2019
Multi-Task Time Series Analysis applied to Drug Response Modelling Alex Bird Christopher K. I. Williams Christopher Hawthorne AI4TS 8 4 0 21 Mar 2019
Irreversible Langevin MCMC on Lie Groups Alexis Arnaudon Alessandro Barp So Takao AI4CE 13 5 0 21 Mar 2019
Implicit Generation and Generalization in Energy-Based Models Yilun Du Igor Mordatch BDL DiffM 17 40 0 20 Mar 2019
TATi-Thermodynamic Analytics ToolkIt: TensorFlow-based software for posterior sampling in machine learning applications Frederik Heber Zofia Trstanova B. Leimkuhler 6 0 0 20 Mar 2019
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images -- Extended Version M. Corbineau Denis Kouamé Émilie Chouzenoux J. Tourneret J. Pesquet 14 15 0 19 Mar 2019
Fast Markov chain Monte Carlo for high dimensional Bayesian regression models with shrinkage priors Rui Jin Aixin Tan 19 8 0 16 Mar 2019
Generalized Elliptical Slice Sampling with Regional Pseudo-priors Song Li Geoffrey Tso 12 1 0 13 Mar 2019
Financial Applications of Gaussian Processes and Bayesian Optimization Joan Gonzalvez Edmond Lezmi T. Roncalli Jiali Xu 20 54 0 12 Mar 2019
Hamiltonian Monte Carlo on Symmetric and Homogeneous Spaces via Symplectic Reduction Alessandro Barp A. Kennedy Mark Girolami 11 9 0 07 Mar 2019