Browse State-of-the-Art › Variational Inference › Papers, page 18
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 18 of 23: papers 1,701 to 1,800 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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Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction25 Feb 2020 0 repositories listed
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Stochastic Normalizing Flows21 Feb 2020 0 repositories listed
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Large Scale Tensor Regression using Kernels and Variational Inference11 Feb 2020 0 repositories listed
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Cross-modal variational inference for bijective signal-symbol translation10 Feb 2020 0 repositories listed
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Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations10 Feb 2020 0 repositories listed
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Gaussian Variational State Estimation for Nonlinear State-Space Models7 Feb 2020 0 repositories listed
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The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks7 Feb 2020 0 repositories listed
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An Equivalence between Bayesian Priors and Penalties in Variational Inference1 Feb 2020 0 repositories listed
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On Implicit Regularization in β-VAEs31 Jan 2020 0 repositories listed
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On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views31 Jan 2020 0 repositories listed
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Multivariate Gaussian Variational Inference by Natural Gradient Descent27 Jan 2020 0 repositories listed
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A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis22 Jan 2020 0 repositories listed
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Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering7 Jan 2020 0 repositories listed
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All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference1 Jan 2020 0 repositories listed
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Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics1 Jan 2020 0 repositories listed
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Efficient non-conjugate Gaussian process factor models for spike countdata using polynomial approximations1 Jan 2020 0 repositories listed
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On Implicit Regularization in β-VAEs1 Jan 2020 0 repositories listed
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Variance Reduction and Quasi-Newton for Particle-Based Variational Inference1 Jan 2020 0 repositories listed
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Variational Inference for Sequential Data with Future Likelihood Estimates1 Jan 2020 0 repositories listed
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Variational Label Enhancement1 Jan 2020 0 repositories listed
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Mixture of Inference Networks for VAE-based Audio-visual Speech Enhancement23 Dec 2019 0 repositories listed
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Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines23 Dec 2019 0 repositories listed
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Pseudo-Encoded Stochastic Variational Inference19 Dec 2019 0 repositories listed
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A Closer Look at Disentangling in β-VAE11 Dec 2019 0 repositories listed
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Frequentist Consistency of Generalized Variational Inference10 Dec 2019 0 repositories listed
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Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression5 Dec 2019 0 repositories listed
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Solving Bayesian Inverse Problems via Variational Autoencoders5 Dec 2019 0 repositories listed
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Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning4 Dec 2019 0 repositories listed
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Deep Probabilistic Models to Detect Data Poisoning Attacks3 Dec 2019 0 repositories listed
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Stochastic Variational Inference via Upper Bound2 Dec 2019 0 repositories listed
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Efficient Approximate Inference with Walsh-Hadamard Variational Inference29 Nov 2019 0 repositories listed
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Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs26 Nov 2019 0 repositories listed
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Continual Learning with Adaptive Weights (CLAW)21 Nov 2019 0 repositories listed
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Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation9 Nov 2019 0 repositories listed
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Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse6 Nov 2019 0 repositories listed
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Generalized Transformation-based Gradient6 Nov 2019 0 repositories listed
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A Rule for Gradient Estimator Selection, with an Application to Variational Inference5 Nov 2019 0 repositories listed
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GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models5 Nov 2019 0 repositories listed
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Statistical Inference in Mean-Field Variational Bayes4 Nov 2019 0 repositories listed
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Neural Topic Model with Reinforcement Learning1 Nov 2019 0 repositories listed
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Unsupervised Neural Machine Translation with Future Rewarding1 Nov 2019 0 repositories listed
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VASE: Variational Assorted Surprise Exploration for Reinforcement Learning31 Oct 2019 0 repositories listed
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Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation29 Oct 2019 0 repositories listed
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Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation29 Oct 2019 0 repositories listed
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Semi-Implicit Stochastic Recurrent Neural Networks28 Oct 2019 0 repositories listed
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Variational Student: Learning Compact and Sparser Networks in Knowledge Distillation Framework26 Oct 2019 0 repositories listed
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Stabilising priors for robust Bayesian deep learning23 Oct 2019 0 repositories listed
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Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems21 Oct 2019 0 repositories listed
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Challenges in Computing and Optimizing Upper Bounds of Marginal Likelihood based on Chi-Square Divergences16 Oct 2019 0 repositories listed
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Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models16 Oct 2019 0 repositories listed
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Global Approximate Inference via Local Linearisation for Temporal Gaussian Processes16 Oct 2019 0 repositories listed
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Interpretable User Models via Decision-rule Gaussian Processes: Preliminary Results on Energy Storage16 Oct 2019 0 repositories listed
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Langevin Dynamics as Nonparametric Variational Inference16 Oct 2019 0 repositories listed
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Newtonian Monte Carlo: a second-order gradient method for speeding up MCMC16 Oct 2019 0 repositories listed
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Optimal Transport for Distribution Adaptation in Bayesian Hilbert Maps16 Oct 2019 0 repositories listed
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Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models16 Oct 2019 0 repositories listed
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Scalable Gradients and Variational Inference for Stochastic Differential Equations16 Oct 2019 0 repositories listed
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Sequential Learning for Dirichlet Process Mixtures16 Oct 2019 0 repositories listed
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Parametric Gaussian Process Regressors16 Oct 2019 0 repositories listed
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Stein Variational Gradient Descent for Approximate Bayesian Computation16 Oct 2019 0 repositories listed
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Structured Semi-Implicit Variational Inference16 Oct 2019 0 repositories listed
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Regularized Sparse Gaussian Processes13 Oct 2019 0 repositories listed
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High Mutual Information in Representation Learning with Symmetric Variational Inference4 Oct 2019 0 repositories listed
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Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization4 Oct 2019 0 repositories listed
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Streamlined Variational Inference for Linear Mixed Models with Crossed Random Effects4 Oct 2019 0 repositories listed
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An Introduction to Probabilistic Spiking Neural Networks: Probabilistic Models, Learning Rules, and Applications2 Oct 2019 0 repositories listed
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CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem2 Oct 2019 0 repositories listed
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Robust Variational Bayesian Point Set Registration1 Oct 2019 0 repositories listed
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Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference1 Oct 2019 0 repositories listed
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Variational Few-Shot Learning1 Oct 2019 0 repositories listed
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Semi-supervised voice conversion with amortized variational inference30 Sep 2019 0 repositories listed
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Tightening Bounds for Variational Inference by Revisiting Perturbation Theory30 Sep 2019 0 repositories listed
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An Information Theoretic Approach to Distributed Representation Learning25 Sep 2019 0 repositories listed
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BasisVAE: Orthogonal Latent Space for Deep Disentangled Representation25 Sep 2019 0 repositories listed
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Benefits of Overparameterization in Single-Layer Latent Variable Generative Models25 Sep 2019 0 repositories listed
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Gaussian Process Meta-Representations Of Neural Networks25 Sep 2019 0 repositories listed
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Hierarchical Bayes Autoencoders25 Sep 2019 0 repositories listed
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Latent Variables on Spheres for Sampling and Inference25 Sep 2019 0 repositories listed
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LAVAE: Disentangling Location and Appearance25 Sep 2019 0 repositories listed
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LIA: Latently Invertible Autoencoder with Adversarial Learning25 Sep 2019 0 repositories listed
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Meta-Learning for Variational Inference25 Sep 2019 0 repositories listed
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On PAC-Bayes Bounds for Deep Neural Networks using the Loss Curvature25 Sep 2019 0 repositories listed
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On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks25 Sep 2019 0 repositories listed
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Probabilistic View of Multi-agent Reinforcement Learning: A Unified Approach25 Sep 2019 0 repositories listed
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Refining the variational posterior through iterative optimization25 Sep 2019 0 repositories listed
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Shallow VAEs with RealNVP Prior Can Perform as Well as Deep Hierarchical VAEs25 Sep 2019 0 repositories listed
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A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics24 Sep 2019 0 repositories listed
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Variational Conditional GAN for Fine-grained Controllable Image Generation22 Sep 2019 0 repositories listed
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Refined α-Divergence Variational Inference via Rejection Sampling17 Sep 2019 0 repositories listed
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Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation6 Sep 2019 0 repositories listed
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Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations5 Sep 2019 0 repositories listed
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Latent Gaussian process with composite likelihoods and numerical quadrature4 Sep 2019 0 repositories listed
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Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions1 Sep 2019 0 repositories listed
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Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels26 Aug 2019 0 repositories listed
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Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning25 Aug 2019 0 repositories listed
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Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond20 Aug 2019 0 repositories listed
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To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics11 Aug 2019 0 repositories listed
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Convergence Rates of Variational Inference in Sparse Deep Learning9 Aug 2019 0 repositories listed
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Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks1 Aug 2019 0 repositories listed
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On importance-weighted autoencoders24 Jul 2019 0 repositories listed