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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix JMLR 2008
Structural Improvement Filtering Strategy for PRM RSS 2008
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NIPS 2008
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NIPS 2008
Adaptive Non-Stationary Kernel Regression for Terrain Modeling RSS 2007
Nonlinear Estimators and Tail Bounds for Dimension Reduction in l1 Using Cauchy Random Projections JMLR 2007
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NIPS 2007
Scan Strategies for Meteorological Radars NIPS 2007
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007
Efficient Bayesian Inference for Dynamically Changing Graphs NIPS 2007
A Unified Near-Optimal Estimator For Dimension Reduction in $l_\alpha$ ($0<\alpha\leq 2$) Using Stable Random Projections NIPS 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007
A Randomized Algorithm for Large Scale Support Vector Learning NIPS 2007
Ultrafast Monte Carlo for Statistical Summations NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information NIPS 2007
Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NIPS 2006
Real-time adaptive information-theoretic optimization of neurophysiology experiments NIPS 2006
A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006
Particle Filtering for Nonparametric Bayesian Matrix Factorization NIPS 2006
Linear State-Space Models for Blind Source Separation JMLR 2006
An Approach to Bounded Rationality NIPS 2006
Conditional mean field NIPS 2006
Optimal Change-Detection and Spiking Neurons NIPS 2006