Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation

18 June 2015

Papers citing "Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation"

23 / 23 papers shown

Title
AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models Conor Heins Toon Van de Maele Alexander Tschantz Hampus Linander Dimitrije Marković ... Magnus T. Koudahl Marco Perin Karl J. Friston Tim Verbelen Christopher L. Buckley OCL 40 0 0 30 May 2025
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models Manan Saxena Tinghua Chen Justin D. Silverman 24 0 0 07 Oct 2024
Gradient-free variational learning with conditional mixture networks Conor Heins Hao Wu Dimitrije Marković Alexander Tschantz Jeff Beck Christopher L. Buckley BDL 88 3 0 29 Aug 2024
Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier Arefeh Rezaei M. J. Ahmadi Amir Molaei H. Taghirad 55 1 0 15 Dec 2023
HiGen: Hierarchical Graph Generative Networks Mahdi Karami 68 4 0 30 May 2023
On Hierarchical Multi-Resolution Graph Generative Models Mahdi Karami Jun Luo AI4CE 67 0 0 06 Mar 2023
Guided Deep Kernel Learning Idan Achituve Gal Chechik Ethan Fetaya BDL 66 7 0 19 Feb 2023
Easy Variational Inference for Categorical Models via an Independent Binary Approximation M. Wojnowicz Shuchin Aeron Eric L. Miller M. C. Hughes 53 2 0 31 May 2022
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 87 103 0 29 Jun 2021
Scalable Cross Validation Losses for Gaussian Process Models M. Jankowiak Geoff Pleiss 65 6 0 24 May 2021
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 109 63 0 20 Jul 2020
Latent variable modeling with random features Gregory W. Gundersen M. Zhang Barbara E. Engelhardt BDL DRL 44 11 0 19 Jun 2020
Correlation Priors for Reinforcement Learning Bastian Alt Adrian Šošić Heinz Koeppl OffRL 63 12 0 11 Sep 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation Théo Galy-Fajou F. Wenzel Christian Donner Manfred Opper 60 30 0 23 May 2019
Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling Josue Nassar Scott W. Linderman M. Bugallo Il-Su Park AI4CE 136 74 0 29 Nov 2018
Learning Invariances using the Marginal Likelihood Mark van der Wilk Matthias Bauer S. T. John J. Hensman 92 86 0 16 Aug 2018
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes Christian Donner Manfred Opper 92 36 0 02 Aug 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits Bianca Dumitrascu Karen Feng Barbara E. Engelhardt 57 41 0 18 May 2018
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation F. Wenzel Théo Galy-Fajou Christian Donner Marius Kloft Manfred Opper 97 36 0 18 Feb 2018
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference Scott W. Linderman Gonzalo E. Mena H. Cooper Liam Paninski John P. Cunningham 77 51 0 26 Oct 2017
Tractable Bayesian Density Regression via Logit Stick-Breaking Priors T. Rigon Daniele Durante 60 27 0 11 Jan 2017
Recurrent switching linear dynamical systems Scott W. Linderman Andrew C. Miller Ryan P. Adams David M. Blei Liam Paninski Matthew J. Johnson 113 74 0 26 Oct 2016
Gamma Belief Networks Mingyuan Zhou Yulai Cong Bo Chen BDL 106 87 0 09 Dec 2015