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Variational Inference

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Showing 601–650 of 2274 papers

TitleStatusHype
Expected Free Energy-based Planning as Variational Inference—0
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums—0
Bayesian Neural Ordinary Differential Equations—0
Bayesian Neural Network via Stochastic Gradient Descent—0
A Forest Mixture Bound for Block-Free Parallel Inference—0
Evolving Voices Based on Temporal Poisson Factorisation—0
Bayesian Neural Networks with Domain Knowledge Priors—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
Disentangled Representation Learning with Transmitted Information Bottleneck—0
Disease Trajectory Maps—0
Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression—0
Discrete-Valued Neural Networks Using Variational Inference—0
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data—0
Disentangled Skill Embeddings for Reinforcement Learning—0
Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data—0
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI—0
A Particle Algorithm for Mean-Field Variational Inference—0
Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders—0
Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities—0
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server—0
Distributed Multitask Reinforcement Learning with Quadratic Convergence—0
Estimators of Entropy and Information via Inference in Probabilistic Models—0
Approximate Bayesian inference as a gauge theory—0
Bayesian Neural Networks: A Min-Max Game Framework—0
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification—0
Distribution Matching in Variational Inference—0
Ergodic Measure Preserving Flows—0
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution—0
Diversifying Reply Suggestions using a Matching-Conditional Variational Autoencoder—0
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation—0
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder—0
Diversity-Promoting Bayesian Learning of Latent Variable Models—0
Discrete flow posteriors for variational inference in discrete dynamical systems—0
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation—0
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM—0
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation—0
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse—0
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS—0
Aleatoric uncertainty for Errors-in-Variables models in deep regression—0
Doubly Semi-Implicit Variational Inference—0
Bayesian Policy Search for Stochastic Domains—0
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection—0
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
Bayesian Probabilistic Co-Subspace Addition—0
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders—0
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