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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices EACL 2017
Fast Fourier Color Constancy CVPR 2017
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments CORL 2017
Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision CORL 2017
Deep Kernels for Optimizing Locomotion Controllers CORL 2017
Local Bayesian Optimization of Motor Skills ICML 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017
Learning in POMDPs with Monte Carlo Tree Search ICML 2017
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? ICML 2017
Latent Intention Dialogue Models ICML 2017
Learning to select data for transfer learning with Bayesian Optimization 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
Adapting Topic Models using Lexical Associations with Tree Priors EMNLP 2017
Nonparametric Online Machine Learning with Kernels IJCAI 2017
Probabilistic Inference in Hybrid Domains IJCAI 2017
Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract) IJCAI 2017
Stochastic Online Anomaly Analysis for Streaming Time Series IJCAI 2017
Compressed Nonparametric Language Modelling IJCAI 2017
Learning User Dependencies for Recommendation IJCAI 2017
Most Probable Explanations for Probabilistic Database Queries IJCAI 2017
High Dimensional Bayesian Optimization using Dropout IJCAI 2017
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization IJCAI 2017
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017