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Variational Inference

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TitleStatusHype
Differentially private stochastic expectation propagation (DP-SEP)—0
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework—0
DPVIm: Differentially Private Variational Inference Improved—0
DropMax: Adaptive Stochastic Softmax—0
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
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems—0
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion—0
Dynamic Collaborative Filtering with Compound Poisson Factorization—0
Dynamic Poisson Factorization—0
DySurv: dynamic deep learning model for survival analysis with conditional variational inference—0
Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models—0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network—0
Edge Partition Modulated Graph Convolutional Networks—0
Efficient Approximate Inference with Walsh-Hadamard Variational Inference—0
Efficient Continuous Relaxations for Dense CRF—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
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks—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
Efficient Online Inference for Bayesian Nonparametric Relational Models—0
Efficient Reinforcement Learning with Large Language Model Priors—0
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