Stochastic Methods

On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix JMLR 2008 Particle Filter-based Policy Gradient in POMDPs NeurIPS 2008 Robust Submodular Observation Selection JMLR 2008 Stochastic Recruitment: A Limited-Feedback Control Policy for Large Ensemble Systems RSS 2008 Stochastic Relational Models for Large-scale Dyadic Data using MCMC NeurIPS 2008 Structural Improvement Filtering Strategy for PRM RSS 2008 Adaptive Non-Stationary Kernel Regression for Terrain Modeling RSS 2007 A Randomized Algorithm for Large Scale Support Vector Learning NeurIPS 2007 A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007 A Unified Near-Optimal Estimator For Dimension Reduction in l_α (0<α≤ 2) Using Stable Random Projections NeurIPS 2007 Continuous Time Particle Filtering for fMRI NeurIPS 2007 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections JMLR 2007 Random Features for Large-Scale Kernel Machines NeurIPS 2007 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007 Scan Strategies for Meteorological Radars NeurIPS 2007 Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NeurIPS 2007 The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information NeurIPS 2007 Ultrafast Monte Carlo for Statistical Summations NeurIPS 2007 Variational Inference for Diffusion Processes NeurIPS 2007 Adaptive Dynamics with Efficient Contact Handling for Articulated Robots RSS 2006 An Approach to Bounded Rationality NeurIPS 2006 A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006 Conditional mean field NeurIPS 2006 Handling Advertisements of Unknown Quality in Search Advertising NeurIPS 2006