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Variational Inference

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Showing 1551–1600 of 2274 papers

TitleStatusHype
Automatic variational inference with cascading flows—0
Automorphism Groups of Graphical Models and Lifted Variational Inference—0
Autoregressive Speech Synthesis without Vector Quantization—0
A Variant of Gaussian Process Dynamical Systems—0
A Variational Analysis of Stochastic Gradient Algorithms—0
A Variational Approach to Parameter Estimation for Characterizing 2-D Cluster Variation Method Topographies—0
A variational Bayesian spatial interaction model for estimating revenue and demand at business facilities—0
A Variational Bayesian State-Space Approach to Online Passive-Aggressive Regression—0
A Variational Dirichlet Framework for Out-of-Distribution Detection—0
A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors—0
A variational inference framework for inverse problems—0
A Variational Perspective on Generative Flow Networks—0
Balanced Training of Energy-Based Models with Adaptive Flow Sampling—0
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule—0
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era—0
BAR: Bayesian Activity Recognition using variational inference—0
BasisVAE: Orthogonal Latent Space for Deep Disentangled Representation—0
Batch, match, and patch: low-rank approximations for score-based variational inference—0
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayesian Fine-tuning—0
BayesFormer: Transformer with Uncertainty Estimation—0
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models—0
Bayesian brains and the Rényi divergence—0
Bayesian calibration of differentiable agent-based models—0
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data—0
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions—0
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors—0
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences—0
Bayesian Exploration Networks—0
Bayesian Hierarchical Mixtures of Experts—0
Bayesian Hypernetworks—0
Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing—0
Bayesian Learning for Neural Networks: an algorithmic survey—0
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition—0
Bayesian Learning to Optimize: Quantifying the Optimizer Uncertainty—0
Bayesian Low-rank Matrix Completion with Dual-graph Embedding: Prior Analysis and Tuning-free Inference—0
Bayesian Matrix Decomposition and Applications—0
Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels—0
Bayesian model and dimension reduction for uncertainty propagation: applications in random media—0
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How—0
Bayesian Model Selection via Mean-Field Variational Approximation—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution—0
Bayesian Neural Networks: A Min-Max Game Framework—0
Bayesian Neural Networks with Domain Knowledge Priors—0
Bayesian Neural Network via Stochastic Gradient Descent—0
Bayesian Neural Ordinary Differential Equations—0
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification—0
Bayesian nonparametric comorbidity analysis of psychiatric disorders—0
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence—0
Bayesian Nonparametric Reinforcement Learning in LTE and Wi-Fi Coexistence—0
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