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Variational Inference

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TitleStatusHype
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition—0
Improved Gradient Estimators for Stochastic Discrete Variables—0
Anomaly Detection on Graph Time Series—0
Automatic Variational ABC—0
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method—0
Structured Dropout Variational Inference for Bayesian Neural Networks—0
Control as Hybrid Inference—0
Automatic Variational Inference in Stan—0
Differentiable Learning of Submodular Models—0
Improving Graph Out-of-distribution Generalization on Real-world Data—0
Bayesian Learning for Neural Networks: an algorithmic survey—0
Affine Independent Variational Inference—0
Convergence of Statistical Estimators via Mutual Information Bounds—0
Improving Output Uncertainty Estimation and Generalization in Deep Learning via Neural Network Gaussian Processes—0
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations—0
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity—0
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning—0
Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing—0
'In-Between' Uncertainty in Bayesian Neural Networks—0
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction—0
Incorporating Word Correlation Knowledge into Topic Modeling—0
Incremental Variational Inference for Latent Dirichlet Allocation—0
Independent projections of diffusions: Gradient flows for variational inference and optimal mean field approximations—0
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations—0
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning—0
Indian Buffet Process Deep Generative Models for Semi-Supervised Classification—0
Copula variational inference—0
Inducing Interpretable Representations with Variational Autoencoders—0
Inference for determinantal point processes without spectral knowledge—0
Correcting the Sub-optimal Bit Allocation—0
Inferring the quantum density matrix with machine learning—0
Latent Time Neural Ordinary Differential Equations—0
Infinite Mixture of Inverted Dirichlet Distributions—0
InfoNCE is variational inference in a recognition parameterised model—0
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks—0
Information Field Theory and Artificial Intelligence—0
Information Theory with Kernel Methods—0
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification—0
Injective flows for star-like manifolds—0
Input Dependent Sparse Gaussian Processes—0
An Introduction to Variational Inference—0
Instance-Aware Graph Convolutional Network for Multi-Label Classification—0
Integrated Non-Factorized Variational Inference—0
Integrating Document Clustering and Topic Modeling—0
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process—0
Variational Policy Propagation for Multi-agent Reinforcement Learning—0
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention—0
Interactive Graph Convolutional Filtering—0
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process—0
D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction—0
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