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Stochastic Methods

1,118 papers

Papers per year

2
18
33
106
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Papers

Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010
Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010
Parallelizable Sampling of Markov Random Fields AISTATS 2010
Elliptical slice sampling AISTATS 2010
Inference and Learning in Networks of Queues AISTATS 2010
HOP-MAP: Efficient Message Passing with High Order Potentials AISTATS 2010
A Markov-Chain Monte Carlo Approach to Simultaneous Localization and Mapping AISTATS 2010
Online Learning for Matrix Factorization and Sparse Coding JMLR 2010
Fast and Scalable Local Kernel Machines JMLR 2010
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization JMLR 2010
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling NIPS 2009
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NIPS 2009
Slow Learners are Fast NIPS 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
Online Learning of Assignments NIPS 2009
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NIPS 2009
Accelerated Gradient Methods for Stochastic Optimization and Online Learning NIPS 2009
Evaluating probabilities under high-dimensional latent variable models NIPS 2008
Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008
Particle Filter-based Policy Gradient in POMDPs NIPS 2008
Algorithms for Infinitely Many-Armed Bandits NIPS 2008
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NIPS 2008
Mortal Multi-Armed Bandits NIPS 2008
Adapting to a Market Shock: Optimal Sequential Market-Making NIPS 2008
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms NIPS 2008