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Variational Inference

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Showing 726–750 of 2274 papers

TitleStatusHype
Aleatoric uncertainty for Errors-in-Variables models in deep regression—0
A First-Order Method for Estimating Natural Gradients for Variational Inference with Gaussians and Gaussian Mixture Models—0
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data—0
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods—0
Estimators of Entropy and Information via Inference in Probabilistic Models—0
Dirichlet process mixture models for non-stationary data streams—0
Evolving Voices Based on Temporal Poisson Factorisation—0
Exact Inference for Continuous-Time Gaussian Process Dynamics—0
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation—0
Bayesian model and dimension reduction for uncertainty propagation: applications in random media—0
A Novel Method for Epileptic Seizure Detection Using Coupled Hidden Markov Models—0
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models—0
Blind Channel Estimation for MIMO Systems via Variational Inference—0
Flexible Modeling of Latent Task Structures in Multitask Learning—0
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering—0
Expected Free Energy-based Planning as Variational Inference—0
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation—0
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
Score Operator Newton transport—0
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation—0
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements—0
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