Stochastic Methods
2,991 papers
Papers per year
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10
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23
33
43
70
80
84
113
144
173
261
299
319
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33
2000
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Papers
Stochastic convex optimization with bandit feedback
NeurIPS 2011
Variance Reduction in Monte-Carlo Tree Search
NeurIPS 2011
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection
AISTATS 2010
Approximate parameter inference in a stochastic reaction-diffusion model
AISTATS 2010
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
AISTATS 2010
Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm
RSS 2010
Conditional Density Estimation via Least-Squares Density Ratio Estimation
AISTATS 2010
Dynamic Constraint-based Optimal Shape Trajectory Planner for Shape-Accelerated Underactuated Balancing Systems
RSS 2010
High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency
JMLR 2010
Importance Sampling for Continuous Time Bayesian Networks
JMLR 2010
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
NeurIPS 2010
Incremental Sampling-based Algorithms for Optimal Motion Planning
RSS 2010
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models
JMLR 2010
LQG-MP: Optimized Path Planning for Robots with Motion Uncertainty and Imperfect State Information
RSS 2010
Maximum-likelihood learning of cumulative distribution functions on graphs
AISTATS 2010
Network Flow Algorithms for Structured Sparsity
NeurIPS 2010
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
NeurIPS 2010
Parallelized Stochastic Gradient Descent
NeurIPS 2010
Parametric Bandits: The Generalized Linear Case
NeurIPS 2010
Random Walk Approach to Regret Minimization
NeurIPS 2010
Regret Bounds for Gaussian Process Bandit Problems
AISTATS 2010
Restricted Eigenvalue Properties for Correlated Gaussian Designs
JMLR 2010
Short-term memory in neuronal networks through dynamical compressed sensing
NeurIPS 2010
Stochastic Modeling of the Expected Time to Search for an Intermittent Signal Source Under a Limited Sensing Range
RSS 2010
Throttling Poisson Processes
NeurIPS 2010