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Variational Inference

767 directly classified papers

Papers per year

Papers

SIXO: Smoothing Inference with Twisted Objectives NIPS 2022
Simple and Effective VAE Training with Calibrated Decoders ICML 2021
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes ICML 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders ICML 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification ICML 2021
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes ICML 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data ICML 2021
Bayesian Structural Adaptation for Continual Learning ICML 2021
Kernel Stein Discrepancy Descent ICML 2021
A Differentiable Point Process with Its Application to Spiking Neural Networks ICML 2021
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data ICML 2021
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference ICML 2021
Instance-Optimal Compressed Sensing via Posterior Sampling ICML 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network ICML 2021
Kernel Continual Learning ICML 2021
Bayesian Deep Learning via Subnetwork Inference ICML 2021
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021
Generalized Doubly Reparameterized Gradient Estimators ICML 2021
Generative Particle Variational Inference via Estimation of Functional Gradients ICML 2021
Automatic variational inference with cascading flows ICML 2021
A unified view of likelihood ratio and reparameterization gradients AISTATS 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021
Estimating High Order Gradients of the Data Distribution by Denoising NIPS 2021