Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

50 / 1,065 papers shown

Title
JaxSGMC: Modular stochastic gradient MCMC in JAX Stephan Thaler Paul Fuchs Ana Cukarska Julija Zavadlav BDL 40 2 0 16 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 42 0 0 12 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
Variational Formulation of the Particle Flow Particle Filter Yinzhuang Yi Jorge Cortés Nikolay Atanasov 36 0 0 06 May 2025
Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data Sven Goblirsch Benedikt Ruhland Johannes Betz Markus Lienkamp 39 0 0 29 Apr 2025
Fully Bayesian Approaches to Topics over Time Julián Cendrero Julio Gonzalo Ivar Zapata OOD AI4TS 28 0 0 21 Apr 2025
An Image is Worth $K$ Topics: A Visual Structural Topic Model with Pretrained Image Embeddings Matías Piqueras Alexandra Segerberg Matteo Magnani Måns Magnusson Nataša Sladoje 43 0 0 14 Apr 2025
Stochastic Variational Inference with Tuneable Stochastic Annealing John Paisley G. Fazelnia Brian Barr 24 0 0 04 Apr 2025
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning Llewyn Salt Marcus Gallagher 41 1 0 02 Apr 2025
Bayesian Predictive Coding Alexander Tschantz Magnus T. Koudahl Hampus Linander Lancelot Da Costa Conor Heins Jeff Beck Christopher L. Buckley BDL 68 0 0 31 Mar 2025
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation Dong Zhao Jinlong Li Shuang Wang Mengyao Wu Qi Zang N. Sebe Zhun Zhong 173 0 0 23 Mar 2025
Quantization-Free Autoregressive Action Transformer Ziyad Sheebaelhamd Michael Tschannen Michael Muehlebach Claire Vernade 49 0 0 18 Mar 2025
Fed-Joint: Joint Modeling of Nonlinear Degradation Signals and Failure Events for Remaining Useful Life Prediction using Federated Learning Cheoljoon Jeong Xubo Yue Seokhyun Chung 44 0 0 17 Mar 2025
Massively Parallel Expectation Maximization For Approximate Posteriors Thomas Heap Sam Bowyer Laurence Aitchison 49 0 0 11 Mar 2025
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding Dou Hu Lingwei Wei Wei Zhou Songlin Hu 43 0 0 06 Mar 2025
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra Vidhi Lalchand Anna-Christina Eilers 66 0 0 27 Feb 2025
Actively Inferring Optimal Measurement Sequences Catherine F. Higham Paul Henderson R. Murray-Smith DRL 67 0 0 25 Feb 2025
Comparative Analysis of MDL-VAE vs. Standard VAE on 202 Years of Gynecological Data Paula Santos DRL 62 0 0 25 Feb 2025
Multi-class Seismic Building Damage Assessment from InSAR Imagery using Quadratic Variational Causal Bayesian Inference Xuechun Li Susu Xu 42 1 0 25 Feb 2025
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 62 1 0 10 Feb 2025
The Odyssey of the Fittest: Can Agents Survive and Still Be Good? Dylan Waldner Risto Miikkulainen 51 0 0 08 Feb 2025
Predictive Coresets Bernardo Flores 57 0 0 08 Feb 2025
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation George Whittle Juliusz Ziomek Jacob Rawling Michael A. Osborne 97 2 0 04 Feb 2025
Scalable Language Models with Posterior Inference of Latent Thought Vectors Deqian Kong Minglu Zhao Dehong Xu Bo Pang Shu Wang ... Zhangzhang Si Chuan Li Jianwen Xie Sirui Xie Ying Nian Wu VLM LRM BDL 83 5 0 03 Feb 2025
HuViDPO:Enhancing Video Generation through Direct Preference Optimization for Human-Centric Alignment Lifan Jiang Boxi Wu Jiahui Zhang Xiaotong Guan Shuang Chen VGen 66 1 0 02 Feb 2025
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals Alexander Mielke Jia Jie Zhu 66 1 0 28 Jan 2025
Globally Convergent Variational Inference Declan McNamara J. Loper Jeffrey Regier 53 0 0 14 Jan 2025
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression Junliang Lyu Yixuan Zhang Xiaoling Lu Feng Zhou FedML 77 0 0 14 Dec 2024
Deep evolving semi-supervised anomaly detection Jack Belham Aryan Bhosale Samrat Mukherjee Biplab Banerjee Fabio Cuzzolin 70 0 0 01 Dec 2024
Investigating Plausibility of Biologically Inspired Bayesian Learning in ANNs Ram Zaveri CLL 70 0 0 27 Nov 2024
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks Sanchar Palit Biplab Banerjee S. Chaudhuri CLL 83 0 0 21 Nov 2024
Variational Bayesian Bow tie Neural Networks with Shrinkage Alisa Sheinkman Sara Wade BDL UQCV 48 0 0 17 Nov 2024
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 52 1 0 30 Oct 2024
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors Massimo Bilancia Samuele Magro 33 0 0 29 Oct 2024
Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics Florian Eichin Carolin M. Schuster Georg Groh Michael A. Hedderich 31 0 0 28 Oct 2024
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 49 0 0 25 Oct 2024
Surprise! Uniform Information Density Isn't the Whole Story: Predicting Surprisal Contours in Long-form Discourse Eleftheria Tsipidi Franz Nowak Ryan Cotterell Ethan Gotlieb Wilcox Mario Giulianelli Alex Warstadt 43 3 0 21 Oct 2024
HyQE: Ranking Contexts with Hypothetical Query Embeddings Weichao Zhou Jiaxin Zhang Hilaf Hasson Anu Singh Wenchao Li RALM 30 1 0 20 Oct 2024
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step Mingyuan Zhou Huangjie Zheng Yi Gu Zhendong Wang Hai Huang DiffM 52 6 0 19 Oct 2024
Causal Modeling of Climate Activism on Reddit Jacopo Lenti Luca Maria Aiello Corrado Monti G. D. F. Morales 34 2 0 14 Oct 2024
Improved Depth Estimation of Bayesian Neural Networks Bart Van Erp Bert De Vries MDE BDL 29 0 0 14 Oct 2024
Optimal lower bounds for logistic log-likelihoods Niccolò Anceschi T. Rigon Giacomo Zanella Daniele Durante 28 1 0 14 Oct 2024
Noether's razor: Learning Conserved Quantities Tycho F. A. van der Ouderaa Mark van der Wilk Pim de Haan 28 0 0 10 Oct 2024
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors Joseph K. Chege Arie Yeredor Martin Haardt 21 0 0 08 Oct 2024
Pathwise Gradient Variance Reduction with Control Variates in Variational Inference Kenyon Ng Susan Wei BDL 21 0 0 08 Oct 2024
Stabilizing the Kumaraswamy Distribution Max Wasserman Gonzalo Mateos BDL 47 0 0 01 Oct 2024
Factor pre-training in Bayesian multivariate logistic models Lorenzo Mauri David B. Dunson 25 0 0 26 Sep 2024
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient Shaoqi Wang Chunjie Yang Siwei Lou 36 1 0 23 Sep 2024
R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models Viet Dung Nguyen Zhizhuo Yang Christopher L. Buckley Alexander Ororbia 39 2 0 21 Sep 2024
Stochastic mirror descent for nonparametric adaptive importance sampling Pascal Bianchi B. Delyon Victor Priser François Portier 34 2 0 20 Sep 2024