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Bayesian Inference

5,566 papers

Papers per year

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100
176
522
279
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Papers

A causal framework for explaining the predictions of black-box sequence-to-sequence models EMNLP 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation EMNLP 2017
Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective EMNLP 2017
Towards Quantum Language Models EMNLP 2017
Adapting Topic Models using Lexical Associations with Tree Priors EMNLP 2017
Local Bayesian Optimization of Motor Skills ICML 2017
Dynamic Word Embeddings ICML 2017
Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models ICML 2017
On the Sampling Problem for Kernel Quadrature ICML 2017
Multiple Clustering Views from Multiple Uncertain Experts ICML 2017
On Kernelized Multi-armed Bandits ICML 2017
Random Feature Expansions for Deep Gaussian Processes ICML 2017
Distributed Batch Gaussian Process Optimization ICML 2017
Probabilistic Path Hamiltonian Monte Carlo ICML 2017
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI ICML 2017
Preferential Bayesian Optimization ICML 2017
Measuring Sample Quality with Kernels ICML 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo ICML 2017
Deep Generative Models for Relational Data with Side Information ICML 2017
Variational Inference for Sparse and Undirected Models ICML 2017
Bayesian Optimization with Tree-structured Dependencies ICML 2017
From Patches to Images: A Nonparametric Generative Model ICML 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017
Learning in POMDPs with Monte Carlo Tree Search ICML 2017