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Variational Inference

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TitleStatusHype
Einstein VI: General and Integrated Stein Variational Inference in NumPyro—0
EinSteinVI: General and Integrated Stein Variational Inference—0
Elements of Sequential Monte Carlo—0
Embarrassingly Parallel Variational Inference in Nonconjugate Models—0
Bayesian Neural Networks: A Min-Max Game Framework—0
Forward Amortized Inference for Likelihood-Free Variational Marginalization—0
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution—0
Discrete flow posteriors for variational inference in discrete dynamical systems—0
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS—0
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies—0
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space—0
Frequentist Consistency of Generalized Variational Inference—0
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Discovering Latent Structural Causal Models from Spatio-Temporal Data—0
Bayesian Model Selection via Mean-Field Variational Approximation—0
Gray-box inference for structured Gaussian process models—0
Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data—0
Flow-based Recurrent Belief State Learning for POMDPs—0
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How—0
Black-Box Autoregressive Density Estimation for State-Space Models—0
A Probabilistic Generative Model of Free Categories—0
Ergodic Inference: Accelerate Convergence by Optimisation—0
Ergodic Measure Preserving Flows—0
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms—0
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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