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Variational Inference

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TitleStatusHype
Indian Buffet Process Deep Generative Models for Semi-Supervised Classification—0
Hamiltonian Policy Optimization in Reinforcement Learning—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Inducing Interpretable Representations with Variational Autoencoders—0
Differentially Private Continual Learning—0
Monotonic Alpha-divergence Minimisation for Variational Inference—0
Amortized Context Vector Inference for Sequence-to-Sequence Networks—0
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning—0
Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty—0
Hierarchical Bayes Autoencoders—0
A Non-negative VAE:the Generalized Gamma Belief Network—0
Hierarchical Implicit Models and Likelihood-Free Variational Inference—0
Confidence Estimation via Sequential Likelihood Mixing—0
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors—0
Hierarchical models for neural population dynamics in the presence of non-stationarity—0
Inference for determinantal point processes without spectral knowledge—0
Connection Discovery using Shared Images by Gaussian Relational Topic Model—0
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis—0
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition—0
Automated Variational Inference for Gaussian Process Models—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
Anomaly Detection on Graph Time Series—0
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer—0
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification—0
Differentiable Learning of Submodular Models—0
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