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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 16 of 23: papers 1,501 to 1,600 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.

• Scalable Cross Validation Losses for Gaussian Process Models
  24 May 2021 0 repositories listed
• Challenges and Opportunities in High Dimensional Variational Inference
  21 May 2021 0 repositories listed
• Geometric variational inference
  21 May 2021 0 repositories listed
• Nonlinear Hawkes Process with Gaussian Process Self Effects
  20 May 2021 0 repositories listed
• Boosting Variational Inference With Locally Adaptive Step-Sizes
  19 May 2021 0 repositories listed
• Aleatoric uncertainty for Errors-in-Variables models in deep regression
  19 May 2021 0 repositories listed
• SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
  10 May 2021 0 repositories listed
• Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
  26 Apr 2021 0 repositories listed
• Variational Pedestrian Detection
  26 Apr 2021 0 repositories listed
• Variational Inference in high-dimensional linear regression
  25 Apr 2021 0 repositories listed
• Outcome-Driven Reinforcement Learning via Variational Inference
  20 Apr 2021 0 repositories listed
• Convolutional Normalizing Flows for Deep Gaussian Processes
  17 Apr 2021 0 repositories listed
• Variational Inference for Category Recommendation in E-Commerce platforms
  15 Apr 2021 0 repositories listed
• Bayesian Variational Federated Learning and Unlearning in Decentralized Networks
  8 Apr 2021 0 repositories listed
• Variational Inference MPC using Tsallis Divergence
  1 Apr 2021 0 repositories listed
• Variational Rejection Particle Filtering
  29 Mar 2021 0 repositories listed
• SKID RAW: Skill Discovery from Raw Trajectories
  26 Mar 2021 0 repositories listed
• Hamiltonian Policy Optimization in Reinforcement Learning
  23 Mar 2021 0 repositories listed
• Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method
  22 Mar 2021 0 repositories listed
• Probabilistic Simplex Component Analysis
  18 Mar 2021 0 repositories listed
• Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise
  15 Mar 2021 0 repositories listed
• FEW-SHOTLEARNING WITH WEAK SUPERVISION
  13 Mar 2021 0 repositories listed
• Variational inference with a quantum computer
  11 Mar 2021 0 repositories listed
• A variational inference framework for inverse problems
  10 Mar 2021 0 repositories listed
• Less Suboptimal Learning and Control in Variational POMDPs
  9 Mar 2021 0 repositories listed
• Monotonic Alpha-divergence Minimisation for Variational Inference
  9 Mar 2021 0 repositories listed
• Lossless Compression using Continuously-Indexed Normalizing Flows
  4 Mar 2021 0 repositories listed
• Challenges and Opportunities in High-dimensional Variational Inference
  1 Mar 2021 0 repositories listed
• Generative Particle Variational Inference via Estimation of Functional Gradients
  1 Mar 2021 0 repositories listed
• Moment-Based Variational Inference for Stochastic Differential Equations
  1 Mar 2021 0 repositories listed
• Hamiltonian Policy Optimization
  28 Feb 2021 0 repositories listed
• Variational Laplace for Bayesian neural networks
  27 Feb 2021 0 repositories listed
• An Easy to Interpret Diagnostic for Approximate Inference: Symmetric Divergence Over Simulations
  25 Feb 2021 0 repositories listed
• Stein Variational Gradient Descent: many-particle and long-time asymptotics
  25 Feb 2021 0 repositories listed
• Quantifying Variational Approximation for the Log-Partition Function
  19 Feb 2021 0 repositories listed
• Structured Dropout Variational Inference for Bayesian Neural Networks
  16 Feb 2021 0 repositories listed
• Scalable Vector Gaussian Information Bottleneck
  15 Feb 2021 0 repositories listed
• Tractable structured natural gradient descent using local parameterizations
  15 Feb 2021 0 repositories listed
• Automatic variational inference with cascading flows
  9 Feb 2021 0 repositories listed
• Bayesian Transformer Language Models for Speech Recognition
  9 Feb 2021 0 repositories listed
• Structure-preserving Gaussian Process Dynamics
  2 Feb 2021 0 repositories listed
• Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting
  31 Jan 2021 0 repositories listed
• Spike and slab Bayesian sparse principal component analysis
  30 Jan 2021 0 repositories listed
• Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning
  28 Jan 2021 0 repositories listed
• Variational Information Bottleneck Model for Accurate Indoor Position Recognition
  26 Jan 2021 0 repositories listed
• Unitary Approximate Message Passing for Sparse Bayesian Learning
  25 Jan 2021 0 repositories listed
• NEMR: Network Embedding on Metric of Relation
  20 Jan 2021 0 repositories listed
• Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach
  18 Jan 2021 0 repositories listed
• Efficient Semi-Implicit Variational Inference
  15 Jan 2021 0 repositories listed
• Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way
  8 Jan 2021 0 repositories listed
• The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks
  7 Jan 2021 0 repositories listed
• Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey
  4 Jan 2021 0 repositories listed
• Markov Chain Monte Carlo Policy Optimization
  4 Jan 2021 0 repositories listed
• A Tutorial on the Mathematical Model of Single Cell Variational Inference
  3 Jan 2021 0 repositories listed
• Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty
  1 Jan 2021 0 repositories listed
• Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels
  1 Jan 2021 0 repositories listed
• Einstein VI: General and Integrated Stein Variational Inference in NumPyro
  1 Jan 2021 0 repositories listed
• Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation
  1 Jan 2021 0 repositories listed
• Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory
  1 Jan 2021 0 repositories listed
• MISSO: Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex and Nonsmooth Problems
  1 Jan 2021 0 repositories listed
• Partial Rejection Control for Robust Variational Inference in Sequential Latent Variable Models
  1 Jan 2021 0 repositories listed
• Variational inference for diffusion modulated Cox processes
  1 Jan 2021 0 repositories listed
• A Tutorial on Sparse Gaussian Processes and Variational Inference
  27 Dec 2020 0 repositories listed
• On Batch Normalisation for Approximate Bayesian Inference
  24 Dec 2020 0 repositories listed
• Variational Determinant Estimation with Spherical Normalizing Flows
  24 Dec 2020 0 repositories listed
• Probabilistic electric load forecasting through Bayesian Mixture Density Networks
  23 Dec 2020 0 repositories listed
• Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization
  21 Dec 2020 0 repositories listed
• Bayesian Crowdsourcing with Constraints
  20 Dec 2020 0 repositories listed
• EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
  18 Dec 2020 0 repositories listed
• Bayesian Neural Ordinary Differential Equations
  14 Dec 2020 0 repositories listed
• Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition
  8 Dec 2020 0 repositories listed
• Variational System Identification for Nonlinear State-Space Models
  8 Dec 2020 0 repositories listed
• On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering
  2 Dec 2020 0 repositories listed
• TAN-NTM: Topic Attention Networks for Neural Topic Modeling
  2 Dec 2020 0 repositories listed
• A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation
  1 Dec 2020 0 repositories listed
• Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks
  1 Dec 2020 0 repositories listed
• Identifying signal and noise structure in neural population activity with Gaussian process factor models
  1 Dec 2020 0 repositories listed
• Introducing Routing Uncertainty in Capsule Networks
  1 Dec 2020 0 repositories listed
• Generalized Variational Continual Learning
  24 Nov 2020 0 repositories listed
• Gaussian Density Parametrization Flow: Particle and Stochastic Approaches
  23 Nov 2020 0 repositories listed
• Gaussian Process Latent Variable Flows for Massively Missing Data
  23 Nov 2020 0 repositories listed
• Generative Video Compression as Hierarchical Variational Inference
  23 Nov 2020 0 repositories listed
• Gradient Regularisation as Approximate Variational Inference
  23 Nov 2020 0 repositories listed
• Marginal Likelihood Gradient for Bayesian Neural Networks
  23 Nov 2020 0 repositories listed
• Neural Linear Models with Functional Gaussian Process Priors
  23 Nov 2020 0 repositories listed
• On the Inconsistency of Bayesian Inference for Misspecified Neural Networks
  23 Nov 2020 0 repositories listed
• Parametric Bootstrap Ensembles as Variational Inference
  23 Nov 2020 0 repositories listed
• Rethinking Function-Space Variational Inference in Bayesian Neural Networks
  23 Nov 2020 0 repositories listed
• Scalable Hybrid Hidden Markov Model with Gaussian Process Emission for Sequential Time-series Observations
  23 Nov 2020 0 repositories listed
• The Gaussian Process Latent Autoregressive Model
  23 Nov 2020 0 repositories listed
• Variational Refinement for Importance SamplingUsing the Forward Kullback-Leibler Divergence
  23 Nov 2020 0 repositories listed
• Variational Laplace for Bayesian neural networks
  20 Nov 2020 0 repositories listed
• Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems
  20 Nov 2020 0 repositories listed
• Recursive Inference for Variational Autoencoders
  17 Nov 2020 0 repositories listed
• Sparse within Sparse Gaussian Processes using Neighbor Information
  10 Nov 2020 0 repositories listed
• Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction
  6 Nov 2020 0 repositories listed
• Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix
  3 Nov 2020 0 repositories listed
• Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations
  26 Oct 2020 0 repositories listed
• Statistical optimality and stability of tangent transform algorithms in logit models
  25 Oct 2020 0 repositories listed
• Out-of-distribution detection for regression tasks: parameter versus predictor entropy
  24 Oct 2020 0 repositories listed