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Variational Inference

Papers

Showing 14011450 of 2274 papers

TitleStatusHype
WISE: full-Waveform variational Inference via Subsurface Extensions0
Worst-case Optimal Submodular Extensions for Marginal Estimation0
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference0
Variance Control for Black Box Variational Inference Using The James-Stein Estimator0
Variational Conditional GAN for Fine-grained Controllable Image Generation0
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation0
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification0
Distance-Preserving Spatial Representations in Genomic Data0
Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression0
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent0
Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way0
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction0
A Causal Ordering Prior for Unsupervised Representation Learning0
Accelerating Particle-based Energetic Variational Inference0
Accelerating Stochastic Probabilistic Inference0
Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS0
A Closer Look at Disentangling in β-VAE0
Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks0
A Continuous-time Stochastic Gradient Descent Method for Continuous Data0
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning0
Actively Inferring Optimal Measurement Sequences0
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification0
Streaming Adaptive Nonparametric Variational Autoencoder0
Adaptive Path-Integral Autoencoders: Representation Learning and Planning for Dynamical Systems0
Adversarial Purification with the Manifold Hypothesis0
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models0
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma0
Addressing Cold-start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling0
A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics0
A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition0
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes0
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis0
A Deep Variational Bayesian Framework for Blind Image Deblurring0
A Deterministic Global Optimization Method for Variational Inference0
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing0
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI0
ADMM-based Networked Stochastic Variational Inference0
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization0
Advances in Variational Inference0
Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models0
To Relieve Your Headache of Training an MRF, Take AdVIL0
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks0
A Factorial Mixture Prior for Compositional Deep Generative Models0
Affine Independent Variational Inference0
A Filtering Approach to Stochastic Variational Inference0
A First-Order Method for Estimating Natural Gradients for Variational Inference with Gaussians and Gaussian Mixture Models0
A Forest Mixture Bound for Block-Free Parallel Inference0
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties0
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