Stochastic Processes

Probabilistic Path Hamiltonian Monte Carlo ICML 2017 Probabilistic Typology: Deep Generative Models of Vowel Inventories ACL 2017 Probability Bounds for Overlapping Coalition Formation IJCAI 2017 Quantifying the accuracy of approximate diffusions and Markov chains AISTATS 2017 Random projection design for scalable implicit smoothing of randomly observed stochastic processes AISTATS 2017 Real-Time Bidding with Side Information NeurIPS 2017 Reducing Reparameterization Gradient Variance NeurIPS 2017 Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling ACL 2017 Scalable Levy Process Priors for Spectral Kernel Learning NeurIPS 2017 Scalable Variational Inference for Dynamical Systems NeurIPS 2017 Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017 Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks IJCAI 2017 Stabilized Sparse Online Learning for Sparse Data JMLR 2017 Stochastic Bouncy Particle Sampler ICML 2017 Stochastic Gradient Descent as Approximate Bayesian Inference JMLR 2017 Stochastic Gradient MCMC Methods for Hidden Markov Models ICML 2017 Stochastic Gradient Monomial Gamma Sampler ICML 2017 Stochastic Online Anomaly Analysis for Streaming Time Series IJCAI 2017 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017 Stochastic Recurrent Neural Network for Speech Recognition Interspeech 2017 Stochastic Variance Reduction Methods for Policy Evaluation ICML 2017 Subset Selection under Noise NeurIPS 2017 Temporal Dynamics of Lateral Channel Formation in /l/: 3D EMA Data from Australian English Interspeech 2017 TextFlow: A Text Similarity Measure based on Continuous Sequences ACL 2017 The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields SemEval 2017