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Variational Inference

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TitleStatusHype
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
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
EigenVI: score-based variational inference with orthogonal function expansions—0
Einstein VI: General and Integrated Stein Variational Inference in NumPyro—0
EinSteinVI: General and Integrated Stein Variational Inference—0
Elements of Sequential Monte Carlo—0
Embarrassingly Parallel Variational Inference in Nonconjugate Models—0
Empirical Bayes for Dynamic Bayesian Networks Using Generalized Variational Inference—0
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies—0
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue—0
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning—0
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference—0
Ergodic Inference: Accelerate Convergence by Optimisation—0
Ergodic Measure Preserving Flows—0
Aleatoric uncertainty for Errors-in-Variables models in deep regression—0
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data—0
Estimators of Entropy and Information via Inference in Probabilistic Models—0
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders—0
Evolving Voices Based on Temporal Poisson Factorisation—0
Exact Inference for Continuous-Time Gaussian Process Dynamics—0
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation—0
Excess risk analysis for epistemic uncertainty with application to variational inference—0
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models—0
Expectation Propagation—0
Expected Free Energy-based Planning as Variational Inference—0
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation—0
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