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Variational Inference

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Showing 1651–1700 of 2274 papers

TitleStatusHype
Variational Inference with Latent Space Quantization for Adversarial ResilienceCode0
Approximating exponential family models (not single distributions) with a two-network architecture—0
Deep Gaussian Processes for Multi-fidelity ModelingCode0
Combining Model and Parameter Uncertainty in Bayesian Neural NetworksCode0
Learning proposals for sequential importance samplers using reinforced variational inference—0
Functional Variational Bayesian Neural NetworksCode0
Variational Bayesian Optimal Experimental DesignCode0
Elements of Sequential Monte Carlo—0
Scalable Grouped Gaussian Processes via Direct Cholesky Functional Representations—0
NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport—0
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes—0
Unsupervised Data Imputation via Variational Inference of Deep SubspacesCode1
The Variational Predictive Natural GradientCode0
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future—0
Theoretical guarantees for sampling and inference in generative models with latent diffusions—0
Multi-Object Representation Learning with Iterative Variational InferenceCode0
Training Variational Autoencoders with Buffered Stochastic Variational Inference—0
Variational Inference to Measure Model Uncertainty in Deep Neural Networks—0
Function Space Particle Optimization for Bayesian Neural NetworksCode0
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era—0
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable ModelsCode0
Where Do Human Heuristics Come From?—0
Differentially Private Continual Learning—0
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models—0
Gaussian Mean Field Regularizes by Limiting Learned Information—0
A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regimeCode0
Towards Autoencoding Variational Inference for Aspect-based Opinion SummaryCode0
Meta-Amortized Variational Inference and LearningCode0
Variational Bayesian Decision-making for Continuous UtilitiesCode0
Understanding MCMC Dynamics as Flows on the Wasserstein SpaceCode0
Multilevel Monte Carlo Variational Inference—0
Probabilistic Discriminative Learning with Layered Graphical ModelsCode0
Enhanced Variational Inference with Dyadic TransformationCode0
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning—0
Metric Gaussian Variational InferenceCode0
Provable Smoothness Guarantees for Black-Box Variational Inference—0
To Relieve Your Headache of Training an MRF, Take AdVIL—0
Modeling and inference of spatio-temporal protein dynamics across brain networksCode0
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent—0
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systemsCode0
Mixed Variational InferenceCode0
Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews—0
Estimating Buildings' Parameters over Time Including Prior KnowledgeCode0
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational InferenceCode0
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning—0
Variational bridge constructs for approximate Gaussian process regression—0
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class ClassificationCode0
Variational Self-attention Model for Sentence Representation—0
Scalable GAM using sparse variational Gaussian processes—0
Disentangling Latent Space for VAE by Label Relevant/Irrelevant DimensionsCode0
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