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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Slow Learners are Fast NIPS 2009
An interior-point stochastic approximation method and an L1-regularized delta rule NIPS 2008
Adapting to a Market Shock: Optimal Sequential Market-Making NIPS 2008
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NIPS 2008
Algorithms for Infinitely Many-Armed Bandits NIPS 2008
Evaluating probabilities under high-dimensional latent variable models NIPS 2008
Fast Rates for Regularized Objectives NIPS 2008
One sketch for all: Theory and Application of Conditional Random Sampling NIPS 2008
Regularized Policy Iteration NIPS 2008
Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008
Particle Filter-based Policy Gradient in POMDPs NIPS 2008
Mortal Multi-Armed Bandits NIPS 2008
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NIPS 2007
A Randomized Algorithm for Large Scale Support Vector Learning NIPS 2007
Ultrafast Monte Carlo for Statistical Summations NIPS 2007
Loop Corrections for Approximate Inference on Factor Graphs JMLR 2007
Scan Strategies for Meteorological Radars NIPS 2007
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NIPS 2007
Temporal Difference Updating without a Learning Rate NIPS 2007
A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006
Inferring Network Structure from Co-Occurrences NIPS 2006
Conditional mean field NIPS 2006
iLSTD: Eligibility Traces and Convergence Analysis NIPS 2006
An Information Theoretic Framework for Eukaryotic Gradient Sensing NIPS 2006