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Variational Inference

767 directly classified papers

Papers per year

Papers

The Hierarchical Adaptive Forgetting Variational Filter ICML 2018
Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018
Stein Variational Gradient Descent Without Gradient ICML 2018
Variational Network Inference: Strong and Stable with Concrete Support ICML 2018
Compressing Neural Networks using the Variational Information Bottleneck ICML 2018
Fixing a Broken ELBO ICML 2018
Bucket Renormalization for Approximate Inference ICML 2018
Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors INTERSPEECH 2018
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery INTERSPEECH 2018
Variational Knowledge Graph Reasoning NAACL 2018
Neural Particle Smoothing for Sampling from Conditional Sequence Models NAACL 2018
Variational Fourier Features for Gaussian Processes JMLR 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing ACL 2018
A Structured Variational Autoencoder for Contextual Morphological Inflection ACL 2018
Estimation of the Number of Speakers with Variational Bayesian PLDA in the DIHARD Diarization Challenge. INTERSPEECH 2018
Monoaural Audio Source Separation Using Variational Autoencoders INTERSPEECH 2018
A Stochastic Decoder for Neural Machine Translation ACL 2018
Neural Models for Documents with Metadata ACL 2018
Variational Inference and Deep Generative Models ACL 2018
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction EMNLP 2018
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018
Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means AISTATS 2018
On the challenges of learning with inference networks on sparse, high-dimensional data AISTATS 2018
Boosting Variational Inference: an Optimization Perspective AISTATS 2018
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models AISTATS 2018