Papers citing 'Boosting Variational Inference'

Title
Fisher meets Feynman: score-based variational inference with a product of experts Diana Cai Robert Mansel Gower David M. Blei Lawrence K. Saul 93 0 0 24 Oct 2025
Asymptotically exact variational flows via involutive MCMC kernels Zuheng Xu Trevor Campbell 169 1 0 02 Jun 2025
Stacking Variational Bayesian Monte Carlo Francesco Silvestrin Chengkun Li Luigi Acerbi BDL 366 2 0 07 Apr 2025
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference Pavia Bera Sanjukta Bhanja UQCV BDL 187 2 0 18 Mar 2025
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximationsProbabilistic Engineering Mechanics (PEM), 2023 Wyatt Bridgman Reese E. Jones Mohammad Khalil 172 2 0 12 Jul 2023
Moment Propagation J. Ormerod Weichang Yu 189 0 0 21 Nov 2022
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz Philipp Dahlinger Zihan Ye Michael Volpp Gerhard Neumann 232 20 0 23 Sep 2022
MixFlows: principled variational inference via mixed flowsInternational Conference on Machine Learning (ICML), 2022 Zuheng Xu Na Chen Trevor Campbell 366 11 0 16 May 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity RecognitionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Randy Ardywibowo Shahin Boluki Zinan Lin Bobak J. Mortazavi Shuai Huang Xiaoning Qian 153 2 0 31 Mar 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational ApproximationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 182 18 0 22 Feb 2022
Interpolating between sampling and variational inference with infinite stochastic mixtures Richard D. Lange Ari S. Benjamin Ralf M. Haefner Xaq Pitkow 162 7 0 18 Oct 2021
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler DivergenceConference on Uncertainty in Artificial Intelligence (UAI), 2021 Ghassen Jerfel S. Wang Clara Fannjiang Katherine A. Heller Yi-An Ma Sai Li BDL 255 45 0 30 Jun 2021
Flexible Variational Bayes based on a Copula of a MixtureJournal of Computational And Graphical Statistics (JCGS), 2021 David Gunawan Robert Kohn David J. Nott 295 13 0 28 Jun 2021
Boosting Variational Inference With Locally Adaptive Step-SizesInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Gideon Dresdner Saurav Shekhar Fabian Pedregosa Francesco Locatello Gunnar Rätsch 110 2 0 19 May 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximationStatistics and computing (Stat Comput), 2021 Zuheng Xu Trevor Campbell 336 9 0 13 Apr 2021
Boltzmann Tuning of Generative Models Victor Berger Michele Sebag 128 0 0 12 Apr 2021
Recursive Inference for Variational AutoencodersNeural Information Processing Systems (NeurIPS), 2020 Minyoung Kim Vladimir Pavlovic DRL 141 14 0 17 Nov 2020
Statistical Guarantees and Algorithmic Convergence Issues of Variational BoostingIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2020 B. Guha A. Bhattacharya D. Pati 305 2 0 19 Oct 2020
Learning from demonstration using products of experts: applications to manipulation and task prioritization Emmanuel Pignat João Silvério Sylvain Calinon 117 21 0 07 Oct 2020
Reliable Categorical Variational Inference with Mixture of Discrete Normalizing Flows Tomasz Kuśmierczyk Arto Klami BDL DRL 150 0 0 28 Jun 2020
Gradient Boosted Normalizing Flows Robert Giaquinto A. Banerjee BDL DRL 220 1 0 27 Feb 2020
Validated Variational Inference via Practical Posterior Error BoundsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Jonathan H. Huggins Mikolaj Kasprzak Trevor Campbell Tamara Broderick 352 41 0 09 Oct 2019
BooVAE: Boosting Approach for Continual Learning of VAENeural Information Processing Systems (NeurIPS), 2019 Anna Kuzina Evgenii Egorov Evgeny Burnaev CLL 255 31 0 30 Aug 2019
Trust-Region Variational Inference with Gaussian Mixture ModelsJournal of machine learning research (JMLR), 2019 Oleg Arenz Mingjun Zhong Gerhard Neumann 178 26 0 10 Jul 2019
Universal Boosting Variational InferenceNeural Information Processing Systems (NeurIPS), 2019 Trevor Campbell Xinglong Li 154 33 0 04 Jun 2019
Variational Inference with Mixture Model Approximation: Robotic Applications Emmanuel Pignat Teguh Santoso Lembono Sylvain Calinon 224 2 0 23 May 2019
MaxEntropy Pursuit Variational InferenceInternational Symposium on Neural Networks (ISNN), 2019 Evgenii Egorov Kirill Neklyudov R. Kostoev Evgeny Burnaev BDL 116 3 0 20 May 2019
Importance Weighted Hierarchical Variational InferenceNeural Information Processing Systems (NeurIPS), 2019 Artem Sobolev Dmitry Vetrov BDL 152 31 0 08 May 2019
Conditionally structured variational Gaussian approximation with importance weights Linda S. L. Tan Aishwarya Bhaskaran David J. Nott 208 13 0 21 Apr 2019
High-dimensional copula variational approximation through transformation M. Smith Rubén Loaiza-Maya David J. Nott 218 37 0 16 Apr 2019
Copula-like Variational Inference Marcel Hirt P. Dellaportas Alain Durmus 180 6 0 15 Apr 2019
Manifold Optimization Assisted Gaussian Variational ApproximationJournal of Computational And Graphical Statistics (JCGS), 2019 Bingxin Zhou Junbin Gao Minh-Ngoc Tran Richard Gerlach 176 6 0 11 Feb 2019
Variational Bayesian Decision-making for Continuous UtilitiesNeural Information Processing Systems (NeurIPS), 2019 Tomasz Kuśmierczyk J. Sakaya Arto Klami 327 21 0 02 Feb 2019
Provable Smoothness Guarantees for Black-Box Variational Inference Justin Domke 224 39 0 24 Jan 2019
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 316 59 0 06 Aug 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 209 32 0 06 Jun 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 217 143 0 28 May 2018
Boosted Density Estimation Remastered Zac Cranko Richard Nock GAN 181 13 0 22 Mar 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 532 770 0 15 Nov 2017
Boosted Generative ModelsAAAI Conference on Artificial Intelligence (AAAI), 2016 Aditya Grover Stefano Ermon 230 51 0 27 Feb 2017
Variational Boosting: Iteratively Refining Posterior Approximations Andrew C. Miller N. Foti Ryan P. Adams 262 130 0 20 Nov 2016