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Variational Inference

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TitleStatusHype
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?—0
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains—0
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization—0
Local Expectation Gradients for Black Box Variational Inference—0
Local Expectation Gradients for Doubly Stochastic Variational Inference—0
Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios—0
Location Dependent Dirichlet Processes—0
Logit Disagreement: OoD Detection with Bayesian Neural Networks—0
Longitudinal Deep Kernel Gaussian Process Regression—0
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function—0
Loss function based second-order Jensen inequality and its application to particle variational inference—0
Lossless Compression using Continuously-Indexed Normalizing Flows—0
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning—0
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel—0
Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization—0
Machine Learning and the Future of Bayesian Computation—0
MAGI: Multi-Annotated Explanation-Guided Learning—0
Marginal Likelihood Gradient for Bayesian Neural Networks—0
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap—0
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems—0
Markov Chain Monte Carlo Policy Optimization—0
Markovian Score Climbing: Variational Inference with KL(p||q)—0
Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data—0
Matched bipartite block model with covariates—0
Matrix Inversion free variational inference in Conditional Student's T Processes—0
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