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Variational Inference

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TitleStatusHype
Concurrent Training and Layer Pruning of Deep Neural Networks—0
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement LearningCode0
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks—0
Approximation-Aware Bayesian Optimization—0
Posterior and variational inference for deep neural networks with heavy-tailed weights—0
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics—0
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference—0
Understanding Stochastic Natural Gradient Variational Inference—0
Modeling Randomly Observed Spatiotemporal Dynamical Systems—0
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks—0
Kernel Semi-Implicit Variational InferenceCode0
Rényi Neural Processes—0
On the Identification of Temporally Causal Representation with Instantaneous Dependence—0
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search—0
ProDAG: Projected Variational Inference for Directed Acyclic GraphsCode0
Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target DistributionCode0
Variational Delayed Policy OptimizationCode0
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder—0
Variance Control for Black Box Variational Inference Using The James-Stein Estimator—0
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse ProblemsCode0
Variational Schrödinger Diffusion Models—0
Scalable Amortized GPLVMs for Single Cell Transcriptomics Data—0
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities—0
Accelerating Convergence in Bayesian Few-Shot ClassificationCode0
Implicit Generative Prior for Bayesian Neural NetworksCode0
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