Browse State-of-the-Art › Variational Inference › Papers, page 19
Variational Inference
Papers archive 2025-07-28
archive papers tagged: 2,274 · with a code link: 880 · where Syntology ran a sample: 269 (223 with a run with no instrument failure, 46 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (269 of 2,274 tagged: 223 with a run with no instrument failure, 46 where every run was a failure of Syntology's instrument)
Page 19 of 23: papers 1,801 to 1,900 of 2,274, in archive order: by repositories listed in the archive (most first), then newest first, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers that list no repository come after every paper that lists one.
Papers without a page here are shown as plain text. A Syntology line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code); hover it for the repositories the samples that ran came from. Abstracts are on each paper's page.
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Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function21 Jul 2019 0 repositories listed
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D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction19 Jul 2019 0 repositories listed
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Interpretable Dynamics Models for Data-Efficient Reinforcement Learning10 Jul 2019 0 repositories listed
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Trust-Region Variational Inference with Gaussian Mixture Models10 Jul 2019 0 repositories listed
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Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data8 Jul 2019 0 repositories listed
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Variational Inference MPC for Bayesian Model-based Reinforcement Learning8 Jul 2019 0 repositories listed
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Neuron ranking -- an informed way to condense convolutional neural networks architecture3 Jul 2019 0 repositories listed
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Deep Bayesian Natural Language Processing1 Jul 2019 0 repositories listed
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'In-Between' Uncertainty in Bayesian Neural Networks27 Jun 2019 0 repositories listed
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Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation24 Jun 2019 0 repositories listed
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Disentangled Skill Embeddings for Reinforcement Learning21 Jun 2019 0 repositories listed
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Black-Box Inference for Non-Linear Latent Force Models21 Jun 2019 0 repositories listed
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Provable Gradient Variance Guarantees for Black-Box Variational Inference19 Jun 2019 0 repositories listed
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Multi-Adversarial Variational Autoencoder Networks14 Jun 2019 0 repositories listed
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Variational Federated Multi-Task Learning14 Jun 2019 0 repositories listed
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Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models10 Jun 2019 0 repositories listed
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Stochastic Neural Network with Kronecker Flow10 Jun 2019 0 repositories listed
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A Variant of Gaussian Process Dynamical Systems9 Jun 2019 0 repositories listed
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Streaming Adaptive Nonparametric Variational Autoencoder7 Jun 2019 0 repositories listed
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Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations7 Jun 2019 0 repositories listed
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Semi-supervised Stochastic Multi-Domain Learning using Variational Inference7 Jun 2019 0 repositories listed
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Amortized Inference of Variational Bounds for Learning Noisy-OR6 Jun 2019 0 repositories listed
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MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning3 Jun 2019 0 repositories listed
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Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process1 Jun 2019 0 repositories listed
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Neural Likelihoods for Multi-Output Gaussian Processes31 May 2019 0 repositories listed
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On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder31 May 2019 0 repositories listed
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Efficient EM-Variational Inference for Hawkes Process29 May 2019 0 repositories listed
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Variational Information Bottleneck for Unsupervised Clustering: Deep Gaussian Mixture Embedding28 May 2019 0 repositories listed
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Walsh-Hadamard Variational Inference for Bayesian Deep Learning27 May 2019 0 repositories listed
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Variational Bayes: A report on approaches and applications26 May 2019 0 repositories listed
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Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit23 May 2019 0 repositories listed
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Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders21 May 2019 0 repositories listed
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Leveraging Bayesian Analysis To Improve Accuracy of Approximate Models20 May 2019 0 repositories listed
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MaxEntropy Pursuit Variational Inference20 May 2019 0 repositories listed
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Moment-Based Variational Inference for Markov Jump Processes14 May 2019 0 repositories listed
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Variational inference for neural network matrix factorization and its application to stochastic blockmodeling11 May 2019 0 repositories listed
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Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process7 May 2019 0 repositories listed
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A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders3 May 2019 0 repositories listed
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ISA-VAE: Independent Subspace Analysis with Variational Autoencoders1 May 2019 0 repositories listed
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Modeling the Long Term Future in Model-Based Reinforcement Learning1 May 2019 0 repositories listed
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Neural Variational Inference For Embedding Knowledge Graphs1 May 2019 0 repositories listed
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Variational Bayesian Phylogenetic Inference1 May 2019 0 repositories listed
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Variational Domain Adaptation1 May 2019 0 repositories listed
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VHEGAN: Variational Hetero-Encoder Randomized GAN for Zero-Shot Learning1 May 2019 0 repositories listed
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Variational Bayes for high-dimensional linear regression with sparse priors15 Apr 2019 0 repositories listed
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Variational Inference for Computational Imaging Inverse Problems12 Apr 2019 0 repositories listed
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Inferring the quantum density matrix with machine learning11 Apr 2019 0 repositories listed
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Novel Uncertainty Framework for Deep Learning Ensembles9 Apr 2019 0 repositories listed
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A Generalization Bound for Online Variational Inference8 Apr 2019 0 repositories listed
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Robust Deep Gaussian Processes4 Apr 2019 0 repositories listed
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Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks2 Apr 2019 0 repositories listed
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Perturbative estimation of stochastic gradients31 Mar 2019 0 repositories listed
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Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization27 Mar 2019 0 repositories listed
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Smoothing Nonlinear Variational Objectives with Sequential Monte Carlo27 Mar 2019 0 repositories listed
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Understanding Posterior Collapse in Generative Latent Variable Models27 Mar 2019 0 repositories listed
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Variational autoencoders trained with q-deformed lower bounds27 Mar 2019 0 repositories listed
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Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder25 Mar 2019 0 repositories listed
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Approximating exponential family models (not single distributions) with a two-network architecture18 Mar 2019 0 repositories listed
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Learning proposals for sequential importance samplers using reinforced variational inference16 Mar 2019 0 repositories listed
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Elements of Sequential Monte Carlo12 Mar 2019 0 repositories listed
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Scalable Grouped Gaussian Processes via Direct Cholesky Functional Representations10 Mar 2019 0 repositories listed
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Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes9 Mar 2019 0 repositories listed
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Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future5 Mar 2019 0 repositories listed
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Theoretical guarantees for sampling and inference in generative models with latent diffusions5 Mar 2019 0 repositories listed
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Training Variational Autoencoders with Buffered Stochastic Variational Inference27 Feb 2019 0 repositories listed
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Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era26 Feb 2019 0 repositories listed
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Variational Inference to Measure Model Uncertainty in Deep Neural Networks26 Feb 2019 0 repositories listed
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Where Do Human Heuristics Come From?20 Feb 2019 0 repositories listed
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Differentially Private Continual Learning18 Feb 2019 0 repositories listed
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On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models13 Feb 2019 0 repositories listed
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Gaussian Mean Field Regularizes by Limiting Learned Information12 Feb 2019 0 repositories listed
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Multilevel Monte Carlo Variational Inference1 Feb 2019 0 repositories listed
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Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning30 Jan 2019 0 repositories listed
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To Relieve Your Headache of Training an MRF, Take AdVIL24 Jan 2019 0 repositories listed
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Provable Smoothness Guarantees for Black-Box Variational Inference24 Jan 2019 0 repositories listed
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Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent18 Jan 2019 0 repositories listed
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Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews14 Jan 2019 0 repositories listed
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Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning8 Jan 2019 0 repositories listed
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Variational bridge constructs for approximate Gaussian process regression7 Jan 2019 0 repositories listed
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Variational Self-attention Model for Sentence Representation30 Dec 2018 0 repositories listed
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Scalable GAM using sparse variational Gaussian processes28 Dec 2018 0 repositories listed
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A Factorial Mixture Prior for Compositional Deep Generative Models18 Dec 2018 0 repositories listed
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A Tutorial on Deep Latent Variable Models of Natural Language17 Dec 2018 0 repositories listed
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Non-Factorised Variational Inference in Dynamical Systems14 Dec 2018 0 repositories listed
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Closed-form Inference and Prediction in Gaussian Process State-Space Models10 Dec 2018 0 repositories listed
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An Introduction to Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications10 Dec 2018 0 repositories listed
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Physics-informed deep generative models9 Dec 2018 0 repositories listed
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Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process8 Dec 2018 0 repositories listed
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Efficient transfer learning and online adaptation with latent variable models for continuous control8 Dec 2018 0 repositories listed
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Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems1 Dec 2018 0 repositories listed
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Distributed Multitask Reinforcement Learning with Quadratic Convergence1 Dec 2018 0 repositories listed
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Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence1 Dec 2018 0 repositories listed
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Point process latent variable models of larval zebrafish behavior1 Dec 2018 0 repositories listed
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Provable Variational Inference for Constrained Log-Submodular Models1 Dec 2018 0 repositories listed
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Partitioned Variational Inference: A unified framework encompassing federated and continual learning27 Nov 2018 0 repositories listed
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Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference27 Nov 2018 0 repositories listed
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Joint Mapping and Calibration via Differentiable Sensor Fusion21 Nov 2018 0 repositories listed
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Black-Box Autoregressive Density Estimation for State-Space Models20 Nov 2018 0 repositories listed
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A Variational Dirichlet Framework for Out-of-Distribution Detection18 Nov 2018 0 repositories listed