Stochastic Processes

Mitigating Uncertainty in Document Classification NAACL 2019 Modeling language learning using specialized Elo rating ACL 2019 Modeling Markedness with a Split-and-Merger Model of Sound Change ACL 2019 Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables ACL 2019 Modelling Stopping Criteria for Search Results using Poisson Processes EMNLP 2019 MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty MIDL 2019 Mutually Regressive Point Processes NeurIPS 2019 Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering AAAI 2019 Neural Finite-State Transducers: Beyond Rational Relations NAACL 2019 Neural Jump Stochastic Differential Equations NeurIPS 2019 Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data MIDL 2019 New Convergence Aspects of Stochastic Gradient Algorithms JMLR 2019 Non-asymptotic Analysis of Biased Stochastic Approximation Scheme COLT 2019 Nonlinear Distributional Gradient Temporal-Difference Learning ICML 2019 Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019 Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes NeurIPS 2019 Nonstochastic Multiarmed Bandits with Unrestricted Delays NeurIPS 2019 No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019 On Exact Computation with an Infinitely Wide Neural Net NeurIPS 2019 Online Algorithm for Unsupervised Sensor Selection AISTATS 2019 Online Factorization and Partition of Complex Networks by Random Walk UAI 2019 Online Learning in Kernelized Markov Decision Processes AISTATS 2019 On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters AAAI 2019 Online sampling from log-concave distributions NeurIPS 2019 Online-Within-Online Meta-Learning NeurIPS 2019