Stochastic Methods

Compositionality of optimal control laws NeurIPS 2009 Dual Averaging Method for Regularized Stochastic Learning and Online Optimization NeurIPS 2009 Evolutionary Model Type Selection for Global Surrogate Modeling JMLR 2009 Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection JMLR 2009 Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NeurIPS 2009 Improving Existing Fault Recovery Policies NeurIPS 2009 Information-theoretic lower bounds on the oracle complexity of convex optimization NeurIPS 2009 Know Thy Neighbour: A Normative Theory of Synaptic Depression NeurIPS 2009 Learning in Markov Random Fields using Tempered Transitions NeurIPS 2009 Online Learning of Assignments NeurIPS 2009 Online Learning with Sample Path Constraints JMLR 2009 Particle Swarm Model Selection JMLR 2009 Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NeurIPS 2009 SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent JMLR 2009 Streaming Pointwise Mutual Information NeurIPS 2009 Adapting to a Market Shock: Optimal Sequential Market-Making NeurIPS 2008 Algorithms for Infinitely Many-Armed Bandits NeurIPS 2008 An interior-point stochastic approximation method and an L1-regularized delta rule NeurIPS 2008 Bounding Performance Loss in Approximate MDP Homomorphisms NeurIPS 2008 Fast Computation of Posterior Mode in Multi-Level Hierarchical Models NeurIPS 2008 Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NeurIPS 2008 Inferring rankings under constrained sensing NeurIPS 2008 Mortal Multi-Armed Bandits NeurIPS 2008 Near-optimal Regret Bounds for Reinforcement Learning NeurIPS 2008 One sketch for all: Theory and Application of Conditional Random Sampling NeurIPS 2008