Browse State-of-the-Art › Variational Inference › Papers, page 17
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 17 of 23: papers 1,601 to 1,700 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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Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors24 Oct 2020 0 repositories listed
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Variational Bayesian Unlearning24 Oct 2020 0 repositories listed
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Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference23 Oct 2020 0 repositories listed
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The Role of Mutual Information in Variational Classifiers22 Oct 2020 0 repositories listed
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UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data22 Oct 2020 0 repositories listed
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Privacy-preserving Data Sharing on Vertically Partitioned Data19 Oct 2020 0 repositories listed
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Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation17 Oct 2020 0 repositories listed
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Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning17 Oct 2020 0 repositories listed
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Generating Diverse Translation from Model Distribution with Dropout16 Oct 2020 0 repositories listed
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Learning from demonstration using products of experts: applications to manipulation and task prioritization7 Oct 2020 0 repositories listed
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Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation5 Oct 2020 0 repositories listed
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Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation5 Oct 2020 0 repositories listed
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Deep kernel processes4 Oct 2020 0 repositories listed
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MCMC-Interactive Variational Inference2 Oct 2020 0 repositories listed
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Relaxing the Constraints on Predictive Coding Models2 Oct 2020 0 repositories listed
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Bayesian Policy Search for Stochastic Domains1 Oct 2020 0 repositories listed
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Approximate Probabilistic Inference with Composed Flows28 Sep 2020 0 repositories listed
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BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning28 Sep 2020 0 repositories listed
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Bayesian Online Meta-Learning28 Sep 2020 0 repositories listed
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f-Divergence Variational Inference28 Sep 2020 0 repositories listed
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Mixture Representation Learning with Coupled Autoencoding Agents28 Sep 2020 0 repositories listed
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Variational Temporal Deep Generative Model for Radar HRRP Target Recognition28 Sep 2020 0 repositories listed
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Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints20 Sep 2020 0 repositories listed
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Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes16 Sep 2020 0 repositories listed
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Tracking disease outbreaks from sparse data with Bayesian inference12 Sep 2020 0 repositories listed
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Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior5 Sep 2020 0 repositories listed
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Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios2 Sep 2020 0 repositories listed
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Quasi-symplectic Langevin Variational Autoencoder2 Sep 2020 0 repositories listed
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Robust, Accurate Stochastic Optimization for Variational Inference1 Sep 2020 0 repositories listed
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Stochastic Graph Recurrent Neural Network1 Sep 2020 0 repositories listed
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Variational Mixture of Normalizing Flows1 Sep 2020 0 repositories listed
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Training Multimodal Systems for Classification with Multiple Objectives26 Aug 2020 0 repositories listed
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Multiview Variational Deep Learning with Application to Scalable Indoor Localization25 Aug 2020 0 repositories listed
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Blindness of score-based methods to isolated components and mixing proportions23 Aug 2020 0 repositories listed
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Dual Adversarial Auto-Encoders for Clustering23 Aug 2020 0 repositories listed
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Variational Inference-Based Dropout in Recurrent Neural Networks for Slot Filling in Spoken Language Understanding23 Aug 2020 0 repositories listed
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WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels22 Aug 2020 0 repositories listed
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Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables21 Aug 2020 0 repositories listed
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Instance-Aware Graph Convolutional Network for Multi-Label Classification19 Aug 2020 0 repositories listed
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Stochastic Bayesian Neural Networks12 Aug 2020 0 repositories listed
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Investigating maximum likelihood based training of infinite mixtures for uncertainty quantification7 Aug 2020 0 repositories listed
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Multi-Sample Online Learning for Probabilistic Spiking Neural Networks23 Jul 2020 0 repositories listed
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Mixture Representation Learning with Coupled Autoencoders20 Jul 2020 0 repositories listed
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GRADE: Graph Dynamic Embedding16 Jul 2020 0 repositories listed
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Measurement error models: from nonparametric methods to deep neural networks15 Jul 2020 0 repositories listed
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VINNAS: Variational Inference-based Neural Network Architecture Search12 Jul 2020 0 repositories listed
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Control as Hybrid Inference11 Jul 2020 0 repositories listed
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Self-Reflective Variational Autoencoder10 Jul 2020 0 repositories listed
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Training Restricted Boltzmann Machines with Binary Synapses using the Bayesian Learning Rule9 Jul 2020 0 repositories listed
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Meta-Learning Divergences of Variational Inference6 Jul 2020 0 repositories listed
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Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder1 Jul 2020 0 repositories listed
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Neural Mixed Counting Models for Dispersed Topic Discovery1 Jul 2020 0 repositories listed
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Learning Robot Skills with Temporal Variational Inference29 Jun 2020 0 repositories listed
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On the Relationship Between Active Inference and Control as Inference23 Jun 2020 0 repositories listed
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Variational Orthogonal Features23 Jun 2020 0 repositories listed
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Isometric Gaussian Process Latent Variable Model for Dissimilarity Data21 Jun 2020 0 repositories listed
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Calibration of Model Uncertainty for Dropout Variational Inference20 Jun 2020 0 repositories listed
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Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization18 Jun 2020 0 repositories listed
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Analytical Probability Distributions and EM-Learning for Deep Generative Networks17 Jun 2020 0 repositories listed
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Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF17 Jun 2020 0 repositories listed
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A Deterministic Approximation to Neural SDEs16 Jun 2020 0 repositories listed
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PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons16 Jun 2020 0 repositories listed
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Approximate Inference for Spectral Mixture Kernel12 Jun 2020 0 repositories listed
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Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks11 Jun 2020 0 repositories listed
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Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models8 Jun 2020 0 repositories listed
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Bayesian Neural Network via Stochastic Gradient Descent4 Jun 2020 0 repositories listed
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A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning3 Jun 2020 0 repositories listed
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Variational Inference and Learning of Piecewise-linear Dynamical Systems2 Jun 2020 0 repositories listed
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From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models1 Jun 2020 0 repositories listed
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VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics27 May 2020 0 repositories listed
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Functional Space Variational Inference for Uncertainty Estimation in Computer Aided Diagnosis24 May 2020 0 repositories listed
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Longitudinal Deep Kernel Gaussian Process Regression24 May 2020 0 repositories listed
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Correlated Mixed Membership Modeling of Somatic Mutations21 May 2020 0 repositories listed
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Variational Hyper-Encoding Networks18 May 2020 0 repositories listed
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Learning and Inference in Imaginary Noise Models18 May 2020 0 repositories listed
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Variational Inference as Iterative Projection in a Bayesian Hilbert Space with Application to Robotic State Estimation14 May 2020 0 repositories listed
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Parameters Estimation from the 21 cm signal using Variational Inference4 May 2020 0 repositories listed
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A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition25 Apr 2020 0 repositories listed
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Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent22 Apr 2020 0 repositories listed
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Variational Policy Propagation for Multi-agent Reinforcement Learning19 Apr 2020 0 repositories listed
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Scaling Bayesian inference of mixed multinomial logit models to very large datasets11 Apr 2020 0 repositories listed
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B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning6 Apr 2020 0 repositories listed
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CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection4 Apr 2020 0 repositories listed
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The equivalence between Stein variational gradient descent and black-box variational inference4 Apr 2020 0 repositories listed
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Markovian Score Climbing: Variational Inference with KL(p||q)23 Mar 2020 0 repositories listed
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Variational Inference with Parameter Learning Applied to Vehicle Trajectory Estimation21 Mar 2020 0 repositories listed
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Deep Reinforcement Learning with Weighted Q-Learning20 Mar 2020 0 repositories listed
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Uncertainty Estimation in Cancer Survival Prediction19 Mar 2020 0 repositories listed
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B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data13 Mar 2020 0 repositories listed
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Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients9 Mar 2020 0 repositories listed
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Variational Inference for Deep Probabilistic Canonical Correlation Analysis9 Mar 2020 0 repositories listed
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Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations6 Mar 2020 0 repositories listed
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Scalable Uncertainty for Computer Vision with Functional Variational Inference6 Mar 2020 0 repositories listed
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Automatic Differentiation Variational Inference with Mixtures3 Mar 2020 0 repositories listed
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Variational inference formulation for a model-free simulation of a dynamical system with unknown parameters by a recurrent neural network2 Mar 2020 0 repositories listed
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PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference1 Mar 2020 0 repositories listed
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Stein Variational Inference for Discrete Distributions1 Mar 2020 0 repositories listed
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MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference27 Feb 2020 0 repositories listed
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Composing Normalizing Flows for Inverse Problems26 Feb 2020 0 repositories listed