bayesian inference

Diachrony-aware Induction of Binary Latent Representations from Typological Features IJCNLP 2017 Differentially private Bayesian learning on distributed data NeurIPS 2017 Differential Privacy for Bayesian Inference through Posterior Sampling JMLR 2017 Distributional Modeling on a Diet: One-shot Word Learning from Text Only IJCNLP 2017 Doubly Stochastic Variational Inference for Deep Gaussian Processes NeurIPS 2017 Dynamic Time-Of-Flight CVPR 2017 EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms NeurIPS 2017 Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017 Evaluating Bayesian Models with Posterior Dispersion Indices ICML 2017 Expectation Propagation for t-Exponential Family Using q-Algebra NeurIPS 2017 Factorized Asymptotic Bayesian Policy Search for POMDPs IJCAI 2017 Fast amortized inference of neural activity from calcium imaging data with variational autoencoders NeurIPS 2017 Fast Bayesian Intensity Estimation for the Permanental Process ICML 2017 Flexible statistical inference for mechanistic models of neural dynamics NeurIPS 2017 From Bayesian Sparsity to Gated Recurrent Nets NeurIPS 2017 Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery Interspeech 2017 Hierarchical Implicit Models and Likelihood-Free Variational Inference NeurIPS 2017 Improving Learning-from-Crowds through Expert Validation IJCAI 2017 Improving Semantic Composition with Offset Inference ACL 2017 Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic IJCAI 2017 Improving Variational Methods via Pairwise Linear Response Identities JMLR 2017 Infinite Variational Autoencoder for Semi-Supervised Learning CVPR 2017 Introspective Classification with Convolutional Nets NeurIPS 2017 Learning Scalable Deep Kernels with Recurrent Structure JMLR 2017 Learning to Reconstruct 3D Structures for Occupancy Mapping RSS 2017