Methods › General › Dimensionality Reduction › Variational Inference › Papers, page 8
Variational Inference
Papers archive 2025-07-28
archive papers tagged: 846 · with a code link: 337 · where Syntology ran a sample: 110 (88 with a run with no instrument failure, 22 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (110 of 846 tagged: 88 with a run with no instrument failure, 22 where every run was a failure of Syntology's instrument)
Page 8 of 9: papers 701 to 800 of 846, newest first by the archive's date (ties by slug), in archive order.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “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 instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. 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; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning 1 Oct 2021 · 1 repository · arXiv:2110.00568
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A First-Order Method for Estimating Natural Gradients for Variational Inference with Gaussians and Gaussian Mixture Models 29 Sep 2021 · 0 repositories
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Deep Attentive Variational Inference 29 Sep 2021 · 0 repositories
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Deep Ensemble as a Gaussian Process Posterior 29 Sep 2021 · 0 repositories
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Edge Partition Modulated Graph Convolutional Networks 29 Sep 2021 · 0 repositories
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EinSteinVI: General and Integrated Stein Variational Inference 29 Sep 2021 · 0 repositories
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Function-Space Variational Inference for Deep Bayesian Classification 29 Sep 2021 · 0 repositories
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iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data 29 Sep 2021 · 0 repositories
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Learning From Unpaired Data: A Variational Bayes Approach 29 Sep 2021 · 0 repositories
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Learning to Dequantise with Truncated Flows 29 Sep 2021 · 0 repositories
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UNCERTAINTY QUANTIFICATION USING VARIATIONAL INFERENCE FOR BIOMEDICAL IMAGE SEGMENTATION 29 Sep 2021 · 0 repositories
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Variational Component Decoder for Source Extraction from Nonlinear Mixture 29 Sep 2021 · 0 repositories
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Variational Inference for Continuous-Time Switching Dynamical Systems 29 Sep 2021 · 0 repositories · arXiv:2109.14492
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Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion 29 Sep 2021 · 0 repositories
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Bayesian Confidence Calibration for Epistemic Uncertainty Modelling 21 Sep 2021 · 1 repository · arXiv:2109.10092
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Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization 20 Sep 2021 · 0 repositories · arXiv:2109.09261
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Learning Opinion Summarizers by Selecting Informative Reviews 9 Sep 2021 · 1 repository · arXiv:2109.04325
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Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations 5 Sep 2021 · 0 repositories · arXiv:2109.02123
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An Introduction to Variational Inference 30 Aug 2021 · 0 repositories · arXiv:2108.13083
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Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models 28 Aug 2021 · 1 repository · arXiv:2108.12657
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Few Shot Activity Recognition Using Variational Inference 20 Aug 2021 · 0 repositories · arXiv:2108.08990
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Variational Inference at Glacier Scale 16 Aug 2021 · 0 repositories · arXiv:2108.07263
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Regularized Sequential Latent Variable Models with Adversarial Neural Networks 10 Aug 2021 · 0 repositories · arXiv:2108.04496
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P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening 9 Aug 2021 · 1 repository · arXiv:2108.03815
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Pathfinder: Parallel quasi-Newton variational inference 9 Aug 2021 · 5 repositories · arXiv:2108.03782Syntology community repositories only · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 3 harvested samples)
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A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities 5 Aug 2021 · 0 repositories · arXiv:2108.02594
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Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization 2 Aug 2021 · 1 repository · arXiv:2108.00785
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De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation 1 Aug 2021 · 0 repositories
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BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver 31 Jul 2021 · 0 repositories · arXiv:2108.00257
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Self-Supervised Inference in State-Space Models 28 Jul 2021 · 0 repositories · arXiv:2107.13349
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Structured Stochastic Gradient MCMC 19 Jul 2021 · 1 repository · arXiv:2107.09028
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Input Dependent Sparse Gaussian Processes 15 Jul 2021 · 0 repositories · arXiv:2107.07281
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Principal component analysis for Gaussian process posteriors 15 Jul 2021 · 0 repositories · arXiv:2107.07115
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Variational Topic Inference for Chest X-Ray Report Generation 15 Jul 2021 · 0 repositories · arXiv:2107.07314
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Bayesian brains and the Rényi divergence 12 Jul 2021 · 0 repositories · arXiv:2107.05438
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Kernel Continual Learning 12 Jul 2021 · 1 repository · arXiv:2107.05757
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Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors 9 Jul 2021 · 1 repository · arXiv:2107.04517
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Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence 6 Jul 2021 · 0 repositories · arXiv:2107.02431
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Deep Gaussian Process Emulation using Stochastic Imputation 4 Jul 2021 · 1 repository · arXiv:2107.01590
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Dep-L₀: Improving L₀-based Network Sparsification via Dependency Modeling 30 Jun 2021 · 1 repository · arXiv:2107.00070
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Dual Adversarial Variational Embedding for Robust Recommendation 30 Jun 2021 · 0 repositories · arXiv:2106.15779
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Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network 30 Jun 2021 · 1 repository · arXiv:2107.02757
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Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors 26 Jun 2021 · 0 repositories · arXiv:2106.15356
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ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models 23 Jun 2021 · 0 repositories · arXiv:2106.12248
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A Practical & Unified Notation for Information-Theoretic Quantities in ML 22 Jun 2021 · 0 repositories · arXiv:2106.12062
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Variational multiple shooting for Bayesian ODEs with Gaussian processes 21 Jun 2021 · 1 repository · arXiv:2106.10905Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
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Local convexity of the TAP free energy and AMP convergence for Z2-synchronization 21 Jun 2021 · 0 repositories · arXiv:2106.11428
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Nested Variational Inference 21 Jun 2021 · 0 repositories · arXiv:2106.11302
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Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise 19 Jun 2021 · 0 repositories
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Variational Causal Networks: Approximate Bayesian Inference over Causal Structures 14 Jun 2021 · 1 repository · arXiv:2106.07635Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
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Wide Mean-Field Variational Bayesian Neural Networks Ignore the Data 13 Jun 2021 · 0 repositories · arXiv:2106.07052
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Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features 10 Jun 2021 · 1 repository · arXiv:2106.05960Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 1 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples)
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Loss function based second-order Jensen inequality and its application to particle variational inference 9 Jun 2021 · 0 repositories · arXiv:2106.05010
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Mixture weights optimisation for Alpha-Divergence Variational Inference 9 Jun 2021 · 0 repositories · arXiv:2106.05114
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Probabilistic task modelling for meta-learning 9 Jun 2021 · 1 repository · arXiv:2106.04802Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples)
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Stein ICP for Uncertainty Estimation in Point Cloud Matching 7 Jun 2021 · 2 repositories · arXiv:2106.03287
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A Deep Variational Bayesian Framework for Blind Image Deblurring 5 Jun 2021 · 0 repositories · arXiv:2106.02884
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Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning 5 Jun 2021 · 0 repositories · arXiv:2106.02938
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Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation 5 Jun 2021 · 1 repository · arXiv:2106.02960Syntology official (archive's flag): 4 ran · 4 ran (of which 4 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 4 samples that ran constructed an object rather than computing a result (of 4 harvested samples)
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Deep Switching State Space Model (DS³M) for Nonlinear Time Series Forecasting with Regime Switching 4 Jun 2021 · 1 repository · arXiv:2106.02329
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A Differentiable Point Process with Its Application to Spiking Neural Networks 2 Jun 2021 · 1 repository · arXiv:2106.00901Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 4 where Syntology's instrument failed) · 7 unverified (of 15 harvested samples)
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Challenges for BBVI with Normalizing Flows 2 Jun 2021 · 0 repositories
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Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network 1 Jun 2021 · 0 repositories · arXiv:2106.00719
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Transformation Models for Flexible Posteriors in Variational Bayes 1 Jun 2021 · 1 repository · arXiv:2106.00528
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Consistency Regularization for Variational Auto-Encoders 31 May 2021 · 1 repository · arXiv:2105.14859Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples)
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Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences 30 May 2021 · 1 repository · arXiv:2105.14574
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Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders 27 May 2021 · 0 repositories · arXiv:2105.13393
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Non-negative matrix factorization algorithms greatly improve topic model fits 27 May 2021 · 1 repository · arXiv:2105.13440
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Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence 25 May 2021 · 0 repositories · arXiv:2105.12249
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DiBS: Differentiable Bayesian Structure Learning 25 May 2021 · 2 repositories · arXiv:2105.11839Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples)
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Challenges and Opportunities in High Dimensional Variational Inference 21 May 2021 · 0 repositories
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Geometric variational inference 21 May 2021 · 0 repositories · arXiv:2105.10470
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Nonlinear Hawkes Process with Gaussian Process Self Effects 20 May 2021 · 0 repositories · arXiv:2105.09618
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Boosting Variational Inference With Locally Adaptive Step-Sizes 19 May 2021 · 0 repositories · arXiv:2105.09240
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Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning 10 May 2021 · 1 repository · arXiv:2105.04143
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SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data 10 May 2021 · 0 repositories · arXiv:2105.04211
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Supervised multi-specialist topic model with applications on large-scale electronic health record data 4 May 2021 · 1 repository · arXiv:2105.01238
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What Are Bayesian Neural Network Posteriors Really Like? 29 Apr 2021 · 3 repositories · arXiv:2104.14421Syntology community repositories only · 3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums 26 Apr 2021 · 0 repositories · arXiv:2104.12643
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Variational Pedestrian Detection 26 Apr 2021 · 0 repositories · arXiv:2104.12389
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Outcome-Driven Reinforcement Learning via Variational Inference 20 Apr 2021 · 0 repositories · arXiv:2104.10190
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Variational Inference for Category Recommendation in E-Commerce platforms 15 Apr 2021 · 0 repositories · arXiv:2104.07748
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Learning by example: fast reliability-aware seismic imaging with normalizing flows 13 Apr 2021 · 3 repositories · arXiv:2104.06255
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The computational asymptotics of Gaussian variational inference and the Laplace approximation 13 Apr 2021 · 1 repository · arXiv:2104.05886
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Bayesian Variational Federated Learning and Unlearning in Decentralized Networks 8 Apr 2021 · 0 repositories · arXiv:2104.03834
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Storchastic: A Framework for General Stochastic Automatic Differentiation 1 Apr 2021 · 1 repository · arXiv:2104.00428
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Variational Rejection Particle Filtering 29 Mar 2021 · 0 repositories · arXiv:2103.15343
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SKID RAW: Skill Discovery from Raw Trajectories 26 Mar 2021 · 0 repositories · arXiv:2103.14610
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Hamiltonian Policy Optimization in Reinforcement Learning 23 Mar 2021 · 0 repositories
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D3p -- A Python Package for Differentially-Private Probabilistic Programming 22 Mar 2021 · 1 repository · arXiv:2103.11648
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Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method 22 Mar 2021 · 0 repositories · arXiv:2103.12020
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Probabilistic Simplex Component Analysis 18 Mar 2021 · 0 repositories · arXiv:2103.10027
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Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise 15 Mar 2021 · 0 repositories · arXiv:2103.08497
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FEW-SHOTLEARNING WITH WEAK SUPERVISION 13 Mar 2021 · 0 repositories
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Variational inference with a quantum computer 11 Mar 2021 · 0 repositories · arXiv:2103.06720
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Monotonic Alpha-divergence Minimisation for Variational Inference 9 Mar 2021 · 0 repositories · arXiv:2103.05684
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A practical tutorial on Variational Bayes 1 Mar 2021 · 1 repository · arXiv:2103.01327
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Challenges and Opportunities in High-dimensional Variational Inference 1 Mar 2021 · 0 repositories · arXiv:2103.01085
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Generative Particle Variational Inference via Estimation of Functional Gradients 1 Mar 2021 · 0 repositories · arXiv:2103.01291
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Moment-Based Variational Inference for Stochastic Differential Equations 1 Mar 2021 · 0 repositories · arXiv:2103.00988