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Variational Inference

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TitleStatusHype
Mixture weights optimisation for Alpha-Divergence Variational Inference—0
Model Informed Flows for Bayesian Inference of Probabilistic Programs—0
Modeling Item Response Theory with Stochastic Variational Inference—0
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field—0
Modeling Overlapping Communities with Node Popularities—0
Modeling Randomly Observed Spatiotemporal Dynamical Systems—0
Modeling Randomly Walking Volatility with Chained Gamma Distributions—0
Modeling the Long Term Future in Model-Based Reinforcement Learning—0
Modeling uncertainty for Gaussian Splatting—0
Modified Frank Wolfe in Probability Space—0
Moment-Based Variational Inference for Stochastic Differential Equations—0
Moment-Based Variational Inference for Markov Jump Processes—0
Monotonic Alpha-divergence Minimisation for Variational Inference—0
Monte Carlo Structured SVI for Two-Level Non-Conjugate Models—0
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity—0
MudiNet: Task-guided Disentangled Representation Learning for 5G Indoor Multipath-assisted Positioning—0
Multi-Adversarial Variational Autoencoder Networks—0
Multi-Sample Online Learning for Probabilistic Spiking Neural Networks—0
Multilabel Classification using Bayesian Compressed Sensing—0
Multilayer Simplex-structured Matrix Factorization for Hyperspectral Unmixing with Endmember Variability—0
Multilevel Monte Carlo Variational Inference—0
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation—0
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation—0
Multi-output Gaussian Process Modulated Poisson Processes for Event Prediction—0
Multi-period Time Series Modeling with Sparsity via Bayesian Variational Inference—0
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