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Variational Inference

Papers

Showing 2650 of 2274 papers

TitleStatusHype
BCD Nets: Scalable Variational Approaches for Bayesian Causal DiscoveryCode1
Bayes-Newton Methods for Approximate Bayesian Inference with PSD GuaranteesCode1
Bit Allocation using OptimizationCode1
Adversarial AutoencodersCode1
Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational AutoencodersCode1
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for SamplingCode1
Bayesian sparsification for deep neural networks with Bayesian model reductionCode1
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
Bayesian Structure Learning with Generative Flow NetworksCode1
Beyond Opinion Mining: Summarizing Opinions of Customer ReviewsCode1
Cauchy-Schwarz Divergence Information Bottleneck for RegressionCode1
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient DescentCode1
BayesDAG: Gradient-Based Posterior Inference for Causal DiscoveryCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
A Discrete Variational Recurrent Topic Model without the Reparametrization TrickCode1
A Differentiable Point Process with Its Application to Spiking Neural NetworksCode1
BaCaDI: Bayesian Causal Discovery with Unknown InterventionsCode1
Autoencoding Variational Inference For Topic ModelsCode1
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuningCode1
BayesDLL: Bayesian Deep Learning LibraryCode1
Bayesian Confidence Calibration for Epistemic Uncertainty ModellingCode1
A Batch Normalized Inference Network Keeps the KL Vanishing AwayCode1
Bayesian neural networks via MCMC: a Python-based tutorialCode1
Accurate Node Feature Estimation with Structured Variational Graph AutoencoderCode1
Graph Representation Learning via Causal Diffusion for Out-of-Distribution RecommendationCode1
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