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variational inference

2069 papers

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VI

Co-occurring keywords

bayesian inference (1907) gaussian process (1200) generative model (2892) variational autoencoder (1288) latent variable model (564) probabilistic modeling (852) representation learning (6206) uncertainty quantification (1393) latent variable (541) approximate inference (253)

Papers

Adversarial Mutual Information for Text Generation ICML 2020
Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020
Bayesian Sparsification of Deep C-valued Networks ICML 2020
Learning Robot Skills with Temporal Variational Inference ICML 2020
Variational Bayesian Quantization ICML 2020
Training Deep Energy-Based Models with f-Divergence Minimization ICML 2020
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020
Probabilistic Graphical Models with Neural Networks in InferPy PGM 2020
Correlated Equilibria for Approximate Variational Inference in MRFs PGM 2020
EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness IJCAI 2020
Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract) IJCAI 2020
Structured Probabilistic End-to-End Learning from Crowds IJCAI 2020
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data IJCAI 2020
Dialogue State Induction Using Neural Latent Variable Models IJCAI 2020
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination JMLR 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data JMLR 2020
Transfer Learning of the Expressivity Using FLOW Metric Learning in Multispeaker Text-to-Speech Synthesis INTERSPEECH 2020
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning INTERSPEECH 2020
Enriched mixtures of generalised Gaussian process experts AISTATS 2020
Validated Variational Inference via Practical Posterior Error Bounds AISTATS 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning AISTATS 2020
Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020
Regularized Wasserstein Means for Aligning Distributional Data AAAI 2020
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior AAAI 2020