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Variational Inference

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Showing 751–800 of 2274 papers

TitleStatusHype
Extreme Stochastic Variational Inference: Distributed and Asynchronous—0
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey—0
Factor Analysis with Correlated Topic Model for Multi-Modal Data—0
Factored expectation propagation for input-output FHMM models in systems biology—0
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints—0
A Sparse and Adaptive Prior for Time-Dependent Model Parameters—0
Fair Inference for Discrete Latent Variable Models—0
Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations—0
Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility—0
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing—0
Fast and efficient speech enhancement with variational autoencoders—0
Generative Particle Variational Inference via Estimation of Functional Gradients—0
Branching Stein Variational Gradient Descent for sampling multimodal distributions—0
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma—0
Algorithms for item categorization based on ordinal ranking data—0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation—0
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization—0
Fast Dual Variational Inference for Non-Conjugate LGMs—0
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions—0
Faster variational inducing input Gaussian process classification—0
Fast moment estimation for generalized latent Dirichlet models—0
C^2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention—0
Fast nonparametric clustering of structured time-series—0
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders—0
Fast Second-Order Stochastic Backpropagation for Variational Inference—0
Fast Second Order Stochastic Backpropagation for Variational Inference—0
Fast Variational Inference for Large-scale Internet Diagnosis—0
Generative Flow Networks: Theory and Applications to Structure Learning—0
Fast Variational Inference in the Conjugate Exponential Family—0
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements—0
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs—0
Bayesian Metric Learning for Robust Training of Deep Models under Noisy Labels—0
Favour: FAst Variance Operator for Uncertainty Rating—0
f-Divergence Thermodynamic Variational Objective: a Deformed Geometry Perspective—0
f-Divergence Variational Inference—0
A Filtering Approach to Stochastic Variational Inference—0
Federated Bayesian Deep Learning: The Application of Statistical Aggregation Methods to Bayesian Models—0
Federated Empirical Risk Minimization via Second-Order Method—0
Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework—0
A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis—0
Federated Learning with Decoupled Probabilistic-Weighted Gradient Aggregation—0
Federated Variational Inference for Bayesian Mixture Models—0
Federated Variational Inference Methods for Structured Latent Variable Models—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
FedHB: Hierarchical Bayesian Federated Learning—0
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities—0
Few Shot Activity Recognition Using Variational Inference—0
Generalized Variational Continual Learning—0
Bayesian Matrix Decomposition and Applications—0
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