Stochastic Methods

Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families NeurIPS 2015 High Dimensional Bayesian Optimisation and Bandits via Additive Models ICML 2015 Human Memory Search as Initial-Visit Emitting Random Walk NeurIPS 2015 Inference in a Partially Observed Queuing Model with Applications in Ecology ICML 2015 Inverting RANSAC: Global Model Detection via Inlier Rate Estimation CVPR 2015 Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015 Large-scale log-determinant computation through stochastic Chebyshev expansions ICML 2015 Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing ICML 2015 Learning Parametric-Output HMMs with Two Aliased States ICML 2015 Learning Theory of Randomized Kaczmarz Algorithm JMLR 2015 Linear Multi-Resource Allocation with Semi-Bandit Feedback NeurIPS 2015 Local Smoothness in Variance Reduced Optimization NeurIPS 2015 Lower and Upper Bounds on the Generalization of Stochastic Exponentially Concave Optimization COLT 2015 Minimax rates for memory-bounded sparse linear regression COLT 2015 Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NeurIPS 2015 Nested Sequential Monte Carlo Methods ICML 2015 New Insights Into Laplacian Similarity Search CVPR 2015 Online Prediction at the Limit of Zero Temperature NeurIPS 2015 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NeurIPS 2015 Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015 Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NeurIPS 2015 Optimum Statistical Estimation with Strategic Data Sources COLT 2015 PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent ICML 2015 Point Process Modelling of Rumour Dynamics in Social Media ACL 2015