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Variational Inference

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TitleStatusHype
Dropout Sampling for Robust Object Detection in Open-Set Conditions—0
Dual Adversarial Auto-Encoders for Clustering—0
Dual Adversarial Variational Embedding for Robust Recommendation—0
Bayesian Probabilistic Matrix Factorization: A User Frequency Analysis—0
Discrete-Valued Neural Networks Using Variational Inference—0
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems—0
Fast Dual Variational Inference for Non-Conjugate LGMs—0
Bayesian Robust Tensor Factorization for Incomplete Multiway Data—0
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions—0
Dynamic Collaborative Filtering with Compound Poisson Factorization—0
Dynamic Poisson Factorization—0
Approximate Probabilistic Inference with Composed Flows—0
Bayesian Neural Networks: A Min-Max Game Framework—0
Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models—0
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression—0
A Generalization Bound for Online Variational Inference—0
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution—0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network—0
Edge Partition Modulated Graph Convolutional Networks—0
Bayesian Transformer Language Models for Speech Recognition—0
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks—0
Efficient Approximate Inference with Walsh-Hadamard Variational Inference—0
Discrete flow posteriors for variational inference in discrete dynamical systems—0
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS—0
Efficient Correlated Topic Modeling with Topic Embedding—0
Efficient EM-Variational Inference for Hawkes Process—0
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition—0
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization—0
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks—0
Faster variational inducing input Gaussian process classification—0
Fast Second Order Stochastic Backpropagation for Variational Inference—0
f-Divergence Variational Inference—0
Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations—0
Efficient non-conjugate Gaussian process factor models for spike countdata using polynomial approximations—0
Functional Complexity-adaptive Temporal Tensor Decomposition—0
Efficient Online Inference for Bayesian Nonparametric Relational Models—0
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Efficient Reinforcement Learning with Large Language Model Priors—0
Efficient Semi-Implicit Variational Inference—0
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning—0
Efficient Training of Neural SDEs Using Stochastic Optimal Control—0
Efficient transfer learning and online adaptation with latent variable models for continuous control—0
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Efficient Variational Bayes Learning of Graphical Models with Smooth Structural Changes—0
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns—0
Bethe Projections for Non-Local Inference—0
Discovering Latent Structural Causal Models from Spatio-Temporal Data—0
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