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Variational Inference

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Showing 1301–1350 of 2274 papers

TitleStatusHype
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach—0
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums—0
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks—0
Exponential Convergence of CAVI for Bayesian PCA—0
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation—0
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts—0
Extreme Stochastic Variational Inference: Distributed and Asynchronous—0
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey—0
Factor Analysis with Correlated Topic Model for Multi-Modal Data—0
Factored expectation propagation for input-output FHMM models in systems biology—0
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints—0
Fair Inference for Discrete Latent Variable Models—0
Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility—0
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing—0
Fast and efficient speech enhancement with variational autoencoders—0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression—0
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization—0
Fast Dual Variational Inference for Non-Conjugate LGMs—0
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions—0
Faster variational inducing input Gaussian process classification—0
Fast moment estimation for generalized latent Dirichlet models—0
Fast nonparametric clustering of structured time-series—0
Fast Second-Order Stochastic Backpropagation for Variational Inference—0
Fast Second Order Stochastic Backpropagation for Variational Inference—0
Fast Variational Inference for Large-scale Internet Diagnosis—0
Fast variational Bayes methods for multinomial probit models—0
Fast Variational Inference in the Conjugate Exponential Family—0
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows—0
Favour: FAst Variance Operator for Uncertainty Rating—0
f-Divergence Thermodynamic Variational Objective: a Deformed Geometry Perspective—0
f-Divergence Variational Inference—0
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes—0
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models—0
Federated Empirical Risk Minimization via Second-Order Method—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation—0
Federated Variational Inference for Bayesian Mixture Models—0
Federated Variational Inference Methods for Structured Latent Variable Models—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
FedHB: Hierarchical Bayesian Federated Learning—0
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities—0
Few Shot Activity Recognition Using Variational Inference—0
FEW-SHOTLEARNING WITH WEAK SUPERVISION—0
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation—0
Flat Seeking Bayesian Neural Networks—0
Flexible Modeling of Latent Task Structures in Multitask Learning—0
Flow-based Recurrent Belief State Learning for POMDPs—0
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering—0
Bayesian evidence estimation from posterior samples with normalizing flows—0
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