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Variational Inference

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TitleStatusHype
Hamiltonian Variational Auto-EncoderCode0
Finding Convincing Arguments Using Scalable Bayesian Preference LearningCode0
Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0Code0
Asymmetric Variational AutoencodersCode0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
Heron Inference for Bayesian Graphical ModelsCode0
Flexible Amortized Variational Inference in qBOLD MRICode0
Flexible mean field variational inference using mixtures of non-overlapping exponential familiesCode0
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogatesCode0
Flexible Tails for Normalizing FlowsCode0
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic ModelCode0
Structured Cooperative Learning with Graphical Model PriorsCode0
Structured Stochastic Gradient MCMCCode0
Structured Variational Inference in Continuous Cox Process ModelsCode0
Graphite: Iterative Generative Modeling of GraphsCode0
Heterogeneous Multi-output Gaussian Process PredictionCode0
GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPMCode0
Hierarchical Variational Imitation Learning of Control ProgramsCode0
Free-Form Variational Inference for Gaussian Process State-Space ModelsCode0
A Theoretically Grounded Application of Dropout in Recurrent Neural NetworksCode0
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural NetworksCode0
From Patches to Images: A Nonparametric Generative ModelCode0
Deep Bayesian Structure NetworksCode0
A Deep Factorization of Style and Structure in FontsCode0
Fully Bayesian VIB-DeepSSMCode0
Deep Bayesian Self-TrainingCode0
Gradient-based optimization for variational empirical Bayes multiple regressionCode0
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object DetectorsCode0
Barrier Frank-Wolfe for Marginal InferenceCode0
Functional Gradient Flows for Constrained SamplingCode0
GFlowNets and variational inferenceCode0
Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in IndiaCode0
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree TopologiesCode0
Function Space Particle Optimization for Bayesian Neural NetworksCode0
Globally Convergent Variational InferenceCode0
Generative Adversarial Networks with Decoder-Encoder Output NoiseCode0
Towards Autoencoding Variational Inference for Aspect-based Opinion SummaryCode0
Deconfounding Imitation Learning with Variational InferenceCode0
Analytical Approximation of the ELBO Gradient in the Context of the Clutter ProblemCode0
Generating Neural Networks with Neural NetworksCode0
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational InferenceCode0
Training Bayesian Neural Networks with Sparse Subspace Variational InferenceCode0
Coherence-Aware Neural Topic ModelingCode0
Training Robust Graph Neural Networks by Modeling Noise DependenciesCode0
Generalized Variational Inference: Three arguments for deriving new PosteriorsCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Gaussian Process-Gated Hierarchical Mixtures of ExpertsCode0
Coin Sampling: Gradient-Based Bayesian Inference without Learning RatesCode0
Analyses of Multi-collection Corpora via Compound Topic ModelingCode0
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep LearningCode0
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