Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

50 / 1,065 papers shown

Title
Variational Inference for Semiparametric Bayesian Novelty Detection in Large Datasets L. Benedetti Eric Boniardi Leonardo Chiani Jacopo Ghirri Marta Mastropietro A. Cappozzo Francesco Denti 32 0 0 04 Dec 2022
High-dimensional density estimation with tensorizing flow Yinuo Ren Hongli Zhao Y. Khoo Lexing Ying 8 9 0 01 Dec 2022
Are you using test log-likelihood correctly? Sameer K. Deshpande Soumya K. Ghosh Tin D. Nguyen Tamara Broderick 34 7 0 01 Dec 2022
Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks Neil Band Tim G. J. Rudner Qixuan Feng Angelos Filos Zachary Nado Michael W. Dusenberry Ghassen Jerfel Dustin Tran Y. Gal OOD UQCV BDL 29 50 0 23 Nov 2022
Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks K. Kishan Rui Li Paribesh Regmi Anne R. Haake 14 1 0 22 Nov 2022
Bayesian Learning for Neural Networks: an algorithmic survey M. Magris Alexandros Iosifidis BDL DRL 35 68 0 21 Nov 2022
Orthogonal Polynomials Approximation Algorithm (OPAA):a functional analytic approach to estimating probability densities Lilian W. Bialokozowicz TPM 28 0 0 16 Nov 2022
Bayesian Reconstruction and Differential Testing of Excised mRNA Marjan Hosseini Devin J. McConnell Derek Aguiar 14 0 0 14 Nov 2022
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 37 3 0 09 Nov 2022
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving Liang Peng Boqi Li Wen-Hui Yu Kailiang Yang Wenbo Shao Hong Wang AAML 36 24 0 08 Nov 2022
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios Liangzu Peng Jun Li Wenbo Shao Hong Wang 37 9 0 07 Nov 2022
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes Mizu Nishikawa-Toomey T. Deleu Jithendaraa Subramanian Yoshua Bengio Laurent Charlin BDL CML 32 29 0 04 Nov 2022
Black-box Coreset Variational Inference Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 21 4 0 04 Nov 2022
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics Hany Abdulsamad Peter Nickl Pascal Klink Jan Peters 29 0 0 02 Nov 2022
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms Vincent Plassier Alain Durmus Eric Moulines FedML 21 6 0 31 Oct 2022
Manifold Gaussian Variational Bayes on the Precision Matrix M. Magris M. Shabani Alexandros Iosifidis 37 2 0 26 Oct 2022
Intrinsic Randomness in Epidemic Modelling Beyond Statistical Uncertainty Matthew J. Penn D. Laydon Joseph Penn C. Whittaker Christian Morgenstern O. Ratmann Swapnil Mishra Mikko S. Pakkanen C. Donnelly Samir Bhatt UD PER 14 7 0 25 Oct 2022
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions Weirui Ye Pieter Abbeel Yang Gao 46 5 0 23 Oct 2022
Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure Xueliang Zhao Lemao Liu Tingchen Fu Shuming Shi Dongyan Zhao Rui Yan 129 4 0 22 Oct 2022
Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent Semantic Communications Christo Kurisummoottil Thomas Walid Saad 29 31 0 21 Oct 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization Qishi Dong Muhammad Awais Fengwei Zhou Chuanlong Xie Tianyang Hu Yongxin Yang Sung-Ho Bae Zhenguo Li OODD VLM 39 14 0 17 Oct 2022
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization Jim Beckers Bart Van Erp Ziyue Zhao K. Kondrashov Bert De Vries AAML 21 5 0 17 Oct 2022
Joint control variate for faster black-box variational inference Xi Wang Tomas Geffner Justin Domke BDL DRL 19 0 0 13 Oct 2022
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference R. Khabibullin S. Seleznev 28 1 0 13 Oct 2022
Dirichlet process mixture models for non-stationary data streams Ioar Casado Aritz Pérez Martínez 9 0 0 13 Oct 2022
Context-aware Bayesian Mixed Multinomial Logit Model Miroslawa Lukawska A. F. Jensen Filipe Rodrigues 9 0 0 11 Oct 2022
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels Guillaume Staerman Cédric Allain Alexandre Gramfort Thomas Moreau 21 5 0 10 Oct 2022
Scaling up Stochastic Gradient Descent for Non-convex Optimisation S. Mohamad H. Alamri A. Bouchachia 50 3 0 06 Oct 2022
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 134 77 0 02 Oct 2022
Bayesian Q-learning With Imperfect Expert Demonstrations Fengdi Che Xiru Zhu Doina Precup D. Meger Gregory Dudek 19 2 0 01 Oct 2022
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz Philipp Dahlinger Zihan Ye Michael Volpp Gerhard Neumann 39 15 0 23 Sep 2022
Amortized Variational Inference: A Systematic Review Ankush Ganguly Sanjana Jain Ukrit Watchareeruetai 28 14 0 22 Sep 2022
Variational Inference for Infinitely Deep Neural Networks Achille Nazaret David M. Blei BDL 25 11 0 21 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 46 1 0 15 Sep 2022
Deep Variational Free Energy Approach to Dense Hydrogen H.-j. Xie Ziqun Li Han Wang Linfeng Zhang Lei Wang 35 9 0 13 Sep 2022
On the Convergence of the ELBO to Entropy Sums Jörg Lücke Jan Warnken 39 3 0 07 Sep 2022
Interpretable Fake News Detection with Topic and Deep Variational Models Marjan Hosseini Alireza Javadian Sabet Suining He Derek Aguiar 21 20 0 04 Sep 2022
Bézier Gaussian Processes for Tall and Wide Data Martin Jørgensen Michael A. Osborne GP 19 2 0 01 Sep 2022
Learning Multiscale Non-stationary Causal Structures Gabriele DÁcunto G. D. F. Morales P. Bajardi Francesco Bonchi CML AI4TS 43 3 0 31 Aug 2022
Compound Density Networks for Risk Prediction using Electronic Health Records Yuxi Liu S. Qin Zhenhao Zhang Wei Shao BDL 21 9 0 02 Aug 2022
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection Kush S. Bhatia Nikki Lijing Kuang Yi Ma Yixin Wang 19 6 0 22 Jul 2022
Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes Mikhail Tsitsvero Mingoo Jin Andrey Lyalin 11 0 0 16 Jul 2022
Variational Flow Graphical Model Shaogang Ren Belhal Karimi Dingcheng Li Ping Li 25 4 0 06 Jul 2022
Variational Neural Networks Illia Oleksiienko D. Tran Alexandros Iosifidis BDL UQCV 33 8 0 04 Jul 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 29 0 0 27 Jun 2022
Neural Inverse Transform Sampler Henry Li Y. Kluger 14 4 0 22 Jun 2022
How to Combine Variational Bayesian Networks in Federated Learning Atahan Ozer Kadir Burak Buldu Abdullah Akgul Gözde B. Ünal FedML 25 5 0 22 Jun 2022
Bregman Power k-Means for Clustering Exponential Family Data Adithya Vellal Saptarshi Chakraborty Jason Xu 28 6 0 22 Jun 2022
Bayesian non-conjugate regression via variational message passing C. Castiglione M. Bernardi 25 0 0 19 Jun 2022
Variable Bitrate Neural Fields Towaki Takikawa Alex Evans Jonathan Tremblay Thomas Müller M. McGuire Alec Jacobson Sanja Fidler 32 128 0 15 Jun 2022