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Variational Inference

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TitleStatusHype
Efficient Semi-Implicit Variational Inference—0
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning—0
Efficient Training of Neural SDEs Using Stochastic Optimal Control—0
Efficient transfer learning and online adaptation with latent variable models for continuous control—0
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes—0
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns—0
EigenVI: score-based variational inference with orthogonal function expansions—0
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
Empirical Bayes for Dynamic Bayesian Networks Using Generalized Variational Inference—0
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies—0
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue—0
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning—0
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference—0
Ergodic Inference: Accelerate Convergence by Optimisation—0
Ergodic Measure Preserving Flows—0
Aleatoric uncertainty for Errors-in-Variables models in deep regression—0
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data—0
Estimators of Entropy and Information via Inference in Probabilistic Models—0
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders—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
Excess risk analysis for epistemic uncertainty with application to variational inference—0
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models—0
Expectation Propagation—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
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
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