Stochastic Processes

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015 Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015 On Convergence of Emphatic Temporal-Difference Learning COLT 2015 On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence ICML 2015 On the Rate of Convergence and Error Bounds for LSTD(λ) ICML 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015 Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models ICML 2015 Particle Gibbs for Infinite Hidden Markov Models NeurIPS 2015 Perturbed Message Passing for Constraint Satisfaction Problems JMLR 2015 Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015 Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NeurIPS 2015 Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NeurIPS 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches CVPR 2015 Robust Spectral Inference for Joint Stochastic Matrix Factorization NeurIPS 2015 Safe Exploration for Optimization with Gaussian Processes ICML 2015 Sample Complexity Bounds for Iterative Stochastic Policy Optimization NeurIPS 2015 Sampling from Probabilistic Submodular Models NeurIPS 2015 Sparse Dueling Bandits AISTATS 2015 State Space Methods for Efficient Inference in Student-t Process Regression AISTATS 2015 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015 The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions NeurIPS 2015 The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling ICML 2015 Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015 Variational Dropout and the Local Reparameterization Trick NeurIPS 2015