| WISE: full-Waveform variational Inference via Subsurface Extensions | Dec 11, 2023 | Variational Inference | —Unverified | 0 | 0 |
| Worst-case Optimal Submodular Extensions for Marginal Estimation | Jan 10, 2018 | Variational Inference | —Unverified | 0 | 0 |
| You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference | Jun 5, 2024 | Stochastic OptimizationVariational Inference | —Unverified | 0 | 0 |
| Variance Control for Black Box Variational Inference Using The James-Stein Estimator | May 9, 2024 | Variational Inference | —Unverified | 0 | 0 |
| Variational Conditional GAN for Fine-grained Controllable Image Generation | Sep 22, 2019 | DiversityImage Generation | —Unverified | 0 | 0 |
| Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation | Oct 29, 2019 | Variational Inference | —Unverified | 0 | 0 |
| Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification | Aug 1, 2024 | Operator learningUncertainty Quantification | —Unverified | 0 | 0 |
| Distance-Preserving Spatial Representations in Genomic Data | Aug 1, 2024 | Representation LearningTransfer Learning | —Unverified | 0 | 0 |
| Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression | May 16, 2025 | regressionVariational Inference | —Unverified | 0 | 0 |
| Semi-Implicit Variational Inference via Kernelized Path Gradient Descent | Jun 5, 2025 | Variational Inference | —Unverified | 0 | 0 |
| Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way | Jan 8, 2021 | Model SelectionTensor Decomposition | —Unverified | 0 | 0 |
| A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning | May 5, 2022 | Object TrackingState Estimation | —Unverified | 0 | 0 |
| A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction | Sep 29, 2014 | Bayesian InferenceLink Prediction | —Unverified | 0 | 0 |
| A Causal Ordering Prior for Unsupervised Representation Learning | Jul 11, 2023 | Causal Discoverycounterfactual | —Unverified | 0 | 0 |
| Accelerating Particle-based Energetic Variational Inference | Apr 4, 2025 | Variational Inference | —Unverified | 0 | 0 |
| Accelerating Stochastic Probabilistic Inference | Mar 15, 2022 | Second-order methodsStochastic Optimization | —Unverified | 0 | 0 |
| Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS | Oct 19, 2015 | General ClassificationTime Series | —Unverified | 0 | 0 |
| A Closer Look at Disentangling in β-VAE | Dec 11, 2019 | Bayesian InferenceVariational Inference | —Unverified | 0 | 0 |
| Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks | Aug 17, 2023 | Computational EfficiencyModel Compression | —Unverified | 0 | 0 |
| A Continuous-time Stochastic Gradient Descent Method for Continuous Data | Dec 7, 2021 | Stochastic OptimizationVariational Inference | —Unverified | 0 | 0 |
| A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning | Jun 3, 2020 | Representation LearningSelf-Supervised Learning | —Unverified | 0 | 0 |
| Actively Inferring Optimal Measurement Sequences | Feb 25, 2025 | Variational Inference | —Unverified | 0 | 0 |
| Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process | Dec 8, 2018 | Ensemble LearningModel Selection | —Unverified | 0 | 0 |
| Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification | Sep 18, 2022 | Bayesian InferenceClustering | —Unverified | 0 | 0 |
| Streaming Adaptive Nonparametric Variational Autoencoder | Jun 7, 2019 | ClusteringFeature Engineering | —Unverified | 0 | 0 |
| Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems | Dec 1, 2018 | Representation LearningVariational Inference | —Unverified | 0 | 0 |
| Adversarial Purification with the Manifold Hypothesis | Oct 26, 2022 | Adversarial PurificationAdversarial Robustness | —Unverified | 0 | 0 |
| ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models | Jun 23, 2021 | Density EstimationVariational Inference | —Unverified | 0 | 0 |
| Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma | Jun 11, 2023 | CPUVariational Inference | —Unverified | 0 | 0 |
| Addressing Cold-start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling | Mar 1, 2025 | Click-Through Rate PredictionRecommendation Systems | —Unverified | 0 | 0 |
| A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics | Sep 24, 2019 | Asset ManagementManagement | —Unverified | 0 | 0 |
| A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition | Apr 25, 2020 | Bayesian InferenceObject | —Unverified | 0 | 0 |
| A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes | Oct 13, 2017 | Stochastic OptimizationVariational Inference | —Unverified | 0 | 0 |
| A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis | Jan 22, 2020 | Computational EfficiencyVariational Inference | —Unverified | 0 | 0 |
| A Deep Variational Bayesian Framework for Blind Image Deblurring | Jun 5, 2021 | Blind Image DeblurringDeblurring | —Unverified | 0 | 0 |
| A Deterministic Global Optimization Method for Variational Inference | Mar 21, 2017 | global-optimizationVariational Inference | —Unverified | 0 | 0 |
| A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing | Feb 2, 2024 | Variational Inference | —Unverified | 0 | 0 |
| A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI | Jun 20, 2017 | Variational Inference | —Unverified | 0 | 0 |
| ADMM-based Networked Stochastic Variational Inference | Feb 27, 2018 | ArticlesDocument Classification | —Unverified | 0 | 0 |
| Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization | Jun 18, 2020 | Variational InferenceVariational Monte Carlo | —Unverified | 0 | 0 |
| Advances in Variational Inference | Nov 15, 2017 | Variational Inference | —Unverified | 0 | 0 |
| Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models | Jun 16, 2017 | Variational Inference | —Unverified | 0 | 0 |
| To Relieve Your Headache of Training an MRF, Take AdVIL | Jan 24, 2019 | Variational Inference | —Unverified | 0 | 0 |
| A Dynamic Edge Exchangeable Model for Sparse Temporal Networks | Oct 11, 2017 | Link PredictionVariational Inference | —Unverified | 0 | 0 |
| A Factorial Mixture Prior for Compositional Deep Generative Models | Dec 18, 2018 | Variational Inference | —Unverified | 0 | 0 |
| Affine Independent Variational Inference | Dec 1, 2012 | Variational Inference | —Unverified | 0 | 0 |
| A Filtering Approach to Stochastic Variational Inference | Dec 1, 2014 | Stochastic OptimizationVariational Inference | —Unverified | 0 | 0 |
| A First-Order Method for Estimating Natural Gradients for Variational Inference with Gaussians and Gaussian Mixture Models | Sep 29, 2021 | Variational Inference | —Unverified | 0 | 0 |
| A Forest Mixture Bound for Block-Free Parallel Inference | May 17, 2018 | Variational Inference | —Unverified | 0 | 0 |
| A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties | Feb 22, 2024 | Variational Inference | —Unverified | 0 | 0 |