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Variational Inference

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Showing 1751–1800 of 2274 papers

TitleStatusHype
Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights—0
Dependency Grammar Induction with a Neural Variational Transition-based Parser—0
A General Method for Amortizing Variational FilteringCode0
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural GradientCode0
Multi-Source Neural Variational Inference—0
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems—0
BAR: Bayesian Activity Recognition using variational inference—0
A Factor Graph Approach to Automated Design of Bayesian Signal Processing AlgorithmsCode0
Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference—0
Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data—0
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization—0
Fast Non-Bayesian Poisson Factorization for Implicit-Feedback RecommendationsCode0
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word CorporaCode0
Large-scale Heteroscedastic Regression via Gaussian Process—0
VIREL: A Variational Inference Framework for Reinforcement LearningCode0
Gaussian Process Conditional Density Estimation—0
Using Large Ensembles of Control Variates for Variational Inference—0
Semi-crowdsourced Clustering with Deep Generative ModelsCode0
Kalman Gradient Descent: Adaptive Variance Reduction in Stochastic OptimizationCode0
Variational Inference with Tail-adaptive f-DivergenceCode0
Variational Calibration of Computer Models—0
Variational Semi-supervised Aspect-term Sentiment Analysis via Transformer—0
Good Initializations of Variational Bayes for Deep Models—0
Pyro: Deep Universal Probabilistic ProgrammingCode0
Data Association with Gaussian Processes—0
Metropolis-Hastings view on variational inference and adversarial training—0
The Deep Weight PriorCode0
Deterministic Variational Inference for Robust Bayesian Neural NetworksCode0
Doubly Reparameterized Gradient Estimators for Monte Carlo ObjectivesCode0
Deep Diffeomorphic Normalizing Flows—0
Doubly Semi-Implicit Variational Inference—0
Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational InferenceCode0
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic ModelCode0
Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic ProgrammingCode0
Improved Gradient-Based Optimization Over Discrete Distributions—0
Variational Bayesian Inference for Audio-Visual Tracking of Multiple Speakers—0
Probabilistic Knowledge Graph Embeddings—0
Variance reduction properties of the reparameterization trick—0
Ergodic Measure Preserving Flows—0
Deep Probabilistic Video Compression—0
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS—0
Improved Gradient Estimators for Stochastic Discrete Variables—0
Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach—0
Orthogonally Decoupled Variational Gaussian ProcessesCode0
Predictive Collective Variable Discovery with Deep Bayesian ModelsCode0
Measuring Systematic Risk with Neural Network Factor Model—0
Bayesian Semi-supervised Learning with Graph Gaussian ProcessesCode0
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies—0
Collapsed Variational Inference for Nonparametric Bayesian Group Factor AnalysisCode0
Classification by Re-generation: Towards Classification Based on Variational InferenceCode0
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