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Variational Inference

1946 directly classified papers

Papers per year

Papers

Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition AISTATS 2018
Variational Inference based on Robust Divergences AISTATS 2018
Variational Rejection Sampling AISTATS 2018
Variational Attention for Sequence-to-Sequence Models COLING 2018
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention COLING 2018
Variational Sequential Monte Carlo AISTATS 2018
Covariances, Robustness, and Variational Bayes JMLR 2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement EMNLP 2018
Learning to Round for Discrete Labeling Problems AISTATS 2018
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018
Interpretable Latent Spaces for Learning from Demonstration CORL 2018
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems CONLL 2018
Semi-Supervised Prediction-Constrained Topic Models AISTATS 2018
VAE with a VampPrior AISTATS 2018
On Statistical Optimality of Variational Bayes AISTATS 2018
Variational Memory Encoder-Decoder NIPS 2018
Constrained Graph Variational Autoencoders for Molecule Design NIPS 2018
Variational Inference and Deep Generative Models ACL 2018
A Structured Variational Autoencoder for Contextual Morphological Inflection ACL 2018
NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing ACL 2018
Neural Models for Documents with Metadata ACL 2018
Stock Movement Prediction from Tweets and Historical Prices ACL 2018
A Stochastic Decoder for Neural Machine Translation ACL 2018
Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery INTERSPEECH 2018
Gaussian Process Neural Networks for Speech Recognition INTERSPEECH 2018