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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Know Thy Neighbour: A Normative Theory of Synaptic Depression NIPS 2009
Improving Existing Fault Recovery Policies NIPS 2009
Compositionality of optimal control laws NIPS 2009
Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009
Particle Swarm Model Selection JMLR 2009
Online Learning with Sample Path Constraints JMLR 2009
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent JMLR 2009
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NIPS 2009
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NIPS 2009
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NIPS 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
Online Learning of Assignments NIPS 2009
Streaming Pointwise Mutual Information NIPS 2009
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
Bounding Performance Loss in Approximate MDP Homomorphisms NIPS 2008
Mortal Multi-Armed Bandits NIPS 2008
Adapting to a Market Shock: Optimal Sequential Market-Making NIPS 2008
An interior-point stochastic approximation method and an L1-regularized delta rule NIPS 2008
Stochastic Recruitment: A Limited-Feedback Control Policy for Large Ensemble Systems RSS 2008
One sketch for all: Theory and Application of Conditional Random Sampling NIPS 2008
Near-optimal Regret Bounds for Reinforcement Learning NIPS 2008
Inferring rankings under constrained sensing NIPS 2008
Robust Submodular Observation Selection JMLR 2008