Methods › General › Dimensionality Reduction › Variational Inference › Papers, page 9

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 9 of 9: papers 801 to 846 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.

• Automated Creative Optimization for E-Commerce Advertising
  28 Feb 2021 · 1 repository · arXiv:2103.00436
• Hamiltonian Policy Optimization
  28 Feb 2021 · 0 repositories
• An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations
  25 Feb 2021 · 0 repositories · arXiv:2103.01030
• Stein Variational Gradient Descent: many-particle and long-time asymptotics
  25 Feb 2021 · 0 repositories · arXiv:2102.12956
• Stochastic Aggregation in Graph Neural Networks
  25 Feb 2021 · 1 repository · arXiv:2102.12648
• Community Detection in Weighted Multilayer Networks with Ambient Noise
  24 Feb 2021 · 1 repository · arXiv:2103.00486
• Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
  15 Feb 2021 · 1 repository · arXiv:2102.07850
  Syntology 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) · 1 unverified (of 2 harvested samples)
• Scalable Vector Gaussian Information Bottleneck
  15 Feb 2021 · 0 repositories · arXiv:2102.07525
• Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations
  12 Feb 2021 · 2 repositories · arXiv:2102.06559
  Syntology 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) · 3 unverified (of 6 harvested samples) · 3 pointer-only (licence)
• Automatic variational inference with cascading flows
  9 Feb 2021 · 0 repositories · arXiv:2102.04801
• Bayesian Transformer Language Models for Speech Recognition
  9 Feb 2021 · 0 repositories · arXiv:2102.04754
• Bayesian Neural Networks for Virtual Flow Metering: An Empirical Study
  2 Feb 2021 · 1 repository · arXiv:2102.01391
• Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional
  31 Jan 2021 · 1 repository · arXiv:2102.00533
• Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
  31 Jan 2021 · 0 repositories · arXiv:2102.00431
• Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning
  28 Jan 2021 · 0 repositories · arXiv:2101.12113
• Variational Information Bottleneck Model for Accurate Indoor Position Recognition
  26 Jan 2021 · 0 repositories · arXiv:2101.10655
• NEMR: Network Embedding on Metric of Relation
  20 Jan 2021 · 0 repositories · arXiv:2101.08020
• Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach
  18 Jan 2021 · 0 repositories · arXiv:2101.07128
• Bayesian Inference Forgetting
  16 Jan 2021 · 1 repository · arXiv:2101.06417
• Efficient Semi-Implicit Variational Inference
  15 Jan 2021 · 0 repositories · arXiv:2101.06070
• Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way
  8 Jan 2021 · 0 repositories · arXiv:2101.02931
• Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey
  4 Jan 2021 · 0 repositories · arXiv:2101.00734
• A Tutorial on the Mathematical Model of Single Cell Variational Inference
  3 Jan 2021 · 0 repositories · arXiv:2101.00650
• Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels
  1 Jan 2021 · 0 repositories
• Discovering Autoregressive Orderings with Variational Inference
  1 Jan 2021 · 1 repository
• Einstein VI: General and Integrated Stein Variational Inference in NumPyro
  1 Jan 2021 · 0 repositories
• Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation
  1 Jan 2021 · 0 repositories
• Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory
  1 Jan 2021 · 0 repositories
• MISSO: Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex and Nonsmooth Problems
  1 Jan 2021 · 0 repositories
• Partial Rejection Control for Robust Variational Inference in Sequential Latent Variable Models
  1 Jan 2021 · 0 repositories
• Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference
  1 Jan 2021 · 1 repository
• Variational inference for diffusion modulated Cox processes
  1 Jan 2021 · 0 repositories
• A Tutorial on Sparse Gaussian Processes and Variational Inference
  27 Dec 2020 · 0 repositories · arXiv:2012.13962
• On Batch Normalisation for Approximate Bayesian Inference
  24 Dec 2020 · 0 repositories · arXiv:2012.13220
• Variational Determinant Estimation with Spherical Normalizing Flows
  24 Dec 2020 · 0 repositories · arXiv:2012.13311
• Probabilistic electric load forecasting through Bayesian Mixture Density Networks
  23 Dec 2020 · 0 repositories · arXiv:2012.14389
• Bayesian Crowdsourcing with Constraints
  20 Dec 2020 · 0 repositories · arXiv:2012.11048
• Bayesian Learning for Deep Neural Network Adaptation
  14 Dec 2020 · 1 repository · arXiv:2012.07460
• Bayesian Neural Ordinary Differential Equations
  14 Dec 2020 · 0 repositories · arXiv:2012.07244
• Improving model calibration with accuracy versus uncertainty optimization
  14 Dec 2020 · 1 repository · arXiv:2012.07923
• Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
  8 Dec 2020 · 1 repository · arXiv:2012.04228
• Bayesian Image Reconstruction using Deep Generative Models
  8 Dec 2020 · 2 repositories · arXiv:2012.04567
• Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition
  8 Dec 2020 · 0 repositories · arXiv:2012.04494
• Variational System Identification for Nonlinear State-Space Models
  8 Dec 2020 · 0 repositories · arXiv:2012.05072
• Autoencoding Variational Autoencoder
  7 Dec 2020 · 1 repository · arXiv:2012.03715
• Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian Inference
  7 Dec 2020 · 1 repository · arXiv:2012.03433