Stochastic Processes

Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning CVPR 2018 Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018 Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis IJCAI 2018 Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes NeurIPS 2018 Steering Social Activity: A Stochastic Optimal Control Point Of View JMLR 2018 Stein Variational Message Passing for Continuous Graphical Models ICML 2018 Stochastic Fractional Hamiltonian Monte Carlo IJCAI 2018 Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks ICLR 2018 Stochastic Multi-armed Bandits in Constant Space AISTATS 2018 Stochastic Nested Variance Reduction for Nonconvex Optimization NeurIPS 2018 Stochastic Variance-Reduced Policy Gradient ICML 2018 Stochastic Variational Inference With Gradient Linearization CVPR 2018 Stochastic Video Generation with a Learned Prior ICML 2018 Stock Movement Prediction from Tweets and Historical Prices ACL 2018 Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation CVPR 2018 Structured Gaussian Processes with Twin Multiple Kernel Learning ACML 2018 Synthesizing realistic neural population activity patterns using Generative Adversarial Networks ICLR 2018 The Convergence of Sparsified Gradient Methods NeurIPS 2018 The Dynamics of Learning: A Random Matrix Approach ICML 2018 The Hierarchical Adaptive Forgetting Variational Filter ICML 2018 The K-Nearest Neighbour UCB Algorithm for Multi-Armed Bandits with Covariates ALT 2018 The promises and pitfalls of Stochastic Gradient Langevin Dynamics NeurIPS 2018 The Vertex Sample Complexity of Free Energy is Polynomial COLT 2018 Time-evolving Text Classification with Deep Neural Networks IJCAI 2018 Toward Automatically Measuring Learner Ability from Human-Machine Dialog Interactions using Novel Psychometric Models NAACL 2018