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Variational Inference

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Showing 751–800 of 2274 papers

TitleStatusHype
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object DetectorsCode0
Variational Resampling Based Assessment of Deep Neural Networks under Distribution ShiftCode0
Rethinking Sharpness-Aware Minimization as Variational InferenceCode0
Rethinking Variational Inference for Probabilistic Programs with Stochastic SupportCode0
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and UtilityCode0
Factorized Fusion Shrinkage for Dynamic Relational DataCode0
Harnessing Out-Of-Distribution Examples via Augmenting Content and StyleCode0
Hierarchical Variational ModelsCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
Projective Integral Updates for High-Dimensional Variational InferenceCode0
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical SystemsCode0
Deep Gaussian Processes with Importance-Weighted Variational InferenceCode0
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in AdamCode0
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian ProcessesCode0
Deep Gaussian Processes for Multi-fidelity ModelingCode0
Bridging the Gap Between Variational Inference and Wasserstein Gradient FlowsCode0
GFlowNets and variational inferenceCode0
Deep Gaussian Processes for Air Quality InferenceCode0
Deep Gaussian Markov Random FieldsCode0
Scalable Bayesian Tensor Ring Factorization for Multiway Data AnalysisCode0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Scalable Gaussian Process Classification with Additive Noise for Various LikelihoodsCode0
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree TopologiesCode0
Scalable Generalized Dynamic Topic ModelsCode0
Globally Convergent Variational InferenceCode0
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective InferenceCode0
Generative Adversarial Networks with Decoder-Encoder Output NoiseCode0
Scalable Variational Causal Discovery Unconstrained by AcyclicityCode0
An Efficient Difference-of-Convex Solver for Privacy FunnelCode0
Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)Code0
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogatesCode0
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex ModelsCode0
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep LearningCode0
Generating Neural Networks with Neural NetworksCode0
A Stein variational Newton methodCode0
Semi-Amortized Variational AutoencodersCode0
Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in IndiaCode0
Semi-Implicit Variational InferenceCode0
Deep Bayesian Structure NetworksCode0
Deep Bayesian Self-TrainingCode0
Function Space Particle Optimization for Bayesian Neural NetworksCode0
Functional Variational Bayesian Neural NetworksCode0
Fully Bayesian VIB-DeepSSMCode0
Sequential Neural Models with Stochastic LayersCode0
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood EstimationCode0
Single-cell gene regulatory network analysis for mixed cell populations with applications to COVID-19 single cell dataCode0
Barrier Frank-Wolfe for Marginal InferenceCode0
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural GradientCode0
From Patches to Images: A Nonparametric Generative ModelCode0
Functional Gradient Flows for Constrained SamplingCode0
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