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Variational Inference

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TitleStatusHype
Partially factorized variational inference for high-dimensional mixed modelsCode1
Pathfinder: Parallel quasi-Newton variational inferenceCode1
Beyond Opinion Mining: Summarizing Opinions of Customer ReviewsCode1
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with UncertaintyCode1
Bit Allocation using OptimizationCode1
A theory of continuous generative flow networksCode1
BCD Nets: Scalable Variational Approaches for Bayesian Causal DiscoveryCode1
Probabilistic Circuits for Variational Inference in Discrete Graphical ModelsCode1
Probabilistic selection of inducing points in sparse Gaussian processesCode1
Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word RepresentationCode1
Quadruply Stochastic Gaussian ProcessesCode1
Randomized Automatic DifferentiationCode1
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature SpacesCode1
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and ReviewCode1
Robust Deep Learning from Crowds with Belief PropagationCode1
Robustness of Bayesian Neural Networks to Gradient-Based AttacksCode1
S^2AC: Energy-Based Reinforcement Learning with Stein Soft Actor CriticCode1
Sawtooth Factorial Topic Embeddings Guided Gamma Belief NetworkCode1
A Deep Variational Approach to Clustering Survival DataCode1
A Benchmark on Uncertainty Quantification for Deep Learning PrognosticsCode1
Scalable Variational Gaussian Process Regression NetworksCode1
Score-Based Diffusion Models as Principled Priors for Inverse ImagingCode1
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation ParsingCode1
Auto-Encoding Variational BayesCode1
Autoencoding Variational Inference For Topic ModelsCode1
Sliced Score Matching: A Scalable Approach to Density and Score EstimationCode1
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for SamplingCode1
Spherical Sliced-WassersteinCode1
Amortized Inference for Causal Structure LearningCode1
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian ProcessesCode1
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
Automatic Differentiation Variational InferenceCode1
Streaming Variational BayesCode1
Structured Output Learning with Conditional Generative FlowsCode1
A Differentiable Point Process with Its Application to Spiking Neural NetworksCode1
Deep Causal Reasoning for RecommendationsCode1
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEsCode1
Topic Modeling Revisited: A Document Graph-based Neural Network PerspectiveCode1
A Discrete Variational Recurrent Topic Model without the Reparametrization TrickCode1
Bayesian Structure Learning with Generative Flow NetworksCode1
Training-Free Bayesianization for Low-Rank Adapters of Large Language ModelsCode1
Training Latent Variable Models with Auto-encoding Variational Bayes: A TutorialCode1
Bayesian sparsification for deep neural networks with Bayesian model reductionCode1
Treatment effect estimation with disentangled latent factorsCode1
EDGE: Explaining Deep Reinforcement Learning PoliciesCode1
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructionsCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
User-Dependent Neural Sequence Models for Continuous-Time Event DataCode1
mmFall: Fall Detection using 4D MmWave Radar and a Hybrid Variational RNN AutoEncoderCode1
Variational Graph Recurrent Neural NetworksCode1
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