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Variational Inference

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Showing 501–550 of 2274 papers

TitleStatusHype
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians—0
Concurrent Training and Layer Pruning of Deep Neural Networks—0
Approximation-Aware Bayesian Optimization—0
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement LearningCode0
Posterior and variational inference for deep neural networks with heavy-tailed weights—0
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference—0
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics—0
Understanding Stochastic Natural Gradient Variational Inference—0
Modeling Randomly Observed Spatiotemporal Dynamical Systems—0
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks—0
Kernel Semi-Implicit Variational InferenceCode0
Rényi Neural Processes—0
ProDAG: Projected Variational Inference for Directed Acyclic GraphsCode0
On the Identification of Temporally Causal Representation with Instantaneous Dependence—0
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search—0
Variational Delayed Policy OptimizationCode0
Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target DistributionCode0
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder—0
Variance Control for Black Box Variational Inference Using The James-Stein Estimator—0
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse ProblemsCode0
Variational Schrödinger Diffusion Models—0
Scalable Amortized GPLVMs for Single Cell Transcriptomics Data—0
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities—0
Accelerating Convergence in Bayesian Few-Shot ClassificationCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection—0
Bayesian evidence estimation from posterior samples with normalizing flows—0
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective InferenceCode0
Analytical Approximation of the ELBO Gradient in the Context of the Clutter ProblemCode0
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows—0
Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control—0
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation—0
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport—0
TrajPRed: Trajectory Prediction with Region-based Relation LearningCode0
VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution DetectionCode0
Efficient Training of Probabilistic Neural Networks for Survival AnalysisCode0
Preventing Model Collapse in Gaussian Process Latent Variable ModelsCode0
Modeling uncertainty for Gaussian Splatting—0
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational AutoencoderCode0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models—0
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offsCode0
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational InferenceCode0
VISA: Variational Inference with Sequential Sample-Average Approximations—0
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation—0
Variational Inference of Parameters in Opinion Dynamics Models—0
An Efficient Difference-of-Convex Solver for Privacy FunnelCode0
Stable Training of Normalizing Flows for High-dimensional Variational InferenceCode0
Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference—0
Language-guided Skill Learning with Temporal Variational Inference—0
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