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Bayesian Inference

6,267 papers

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Papers

Contour location via entropy reduction leveraging multiple information sources NeurIPS 2018 Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation JMLR 2018 Convergence of Langevin MCMC in KL-divergence ALT 2018 COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning Interspeech 2018 Coupled Variational Bayes via Optimization Embedding NeurIPS 2018 Covariances, Robustness, and Variational Bayes JMLR 2018 CRVI: Convex Relaxation for Variational Inference ICML 2018 Data-dependent PAC-Bayes priors via differential privacy NeurIPS 2018 Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference ICLR 2018 Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning ICML 2018 Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018 Deep Bayesian Nonparametric Tracking ICML 2018 Deep Learning Under Privileged Information Using Heteroscedastic Dropout CVPR 2018 Deep Poisson gamma dynamical systems NeurIPS 2018 Deep Regression Forests for Age Estimation CVPR 2018 Deep State Space Models for Time Series Forecasting NeurIPS 2018 Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs AISTATS 2018 Density Adaptive Point Set Registration CVPR 2018 Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction EMNLP 2018 Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches ICML 2018 Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge Interspeech 2018 Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018 Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors RSS 2018 Differentially Private Bayesian Inference for Exponential Families NeurIPS 2018 Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NeurIPS 2018