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Bayesian Inference

5,566 papers

Papers per year

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Papers

Nonparametric Bayesian sparse graph linear dynamical systems AISTATS 2018
Proximity Variational Inference AISTATS 2018
Convergence of Langevin MCMC in KL-divergence ALT 2018
Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets ALT 2018
Sprucing up the trees – Error detection in treebanks COLING 2018
Assessing Quality Estimation Models for Sentence-Level Prediction COLING 2018
Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies COLING 2018
Relation Induction in Word Embeddings Revisited COLING 2018
Embedding Words as Distributions with a Bayesian Skip-gram Model COLING 2018
Underdamped Langevin MCMC: A non-asymptotic analysis COLT 2018
Information Directed Sampling and Bandits with Heteroscedastic Noise COLT 2018
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints COLT 2018
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018
Embedded-State Latent Conditional Random Fields for Sequence Labeling CONLL 2018
Similarity Dependent Chinese Restaurant Process for Cognate Identification in Multilingual Wordlists CONLL 2018
A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos CVPR 2018
Stochastic Variational Inference With Gradient Linearization CVPR 2018
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects CVPR 2018
Deep Regression Forests for Age Estimation CVPR 2018
Probabilistic Plant Modeling via Multi-View Image-to-Image Translation CVPR 2018
Lightweight Probabilistic Deep Networks CVPR 2018
Density Adaptive Point Set Registration CVPR 2018
Probabilistic Joint Face-Skull Modelling for Facial Reconstruction CVPR 2018
Accurate and Diverse Sampling of Sequences Based on a “Best of Many” Sample Objective CVPR 2018
Deep Learning Under Privileged Information Using Heteroscedastic Dropout CVPR 2018