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Stochastic Methods

2788 directly classified papers

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Papers

Finite-Time Regional Verification of Stochastic Nonlinear Systems RSS 2011
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback AISTATS 2011
Cross-Entropy Randomized Motion Planning RSS 2011
Minimax Localization of Structural Information in Large Noisy Matrices NIPS 2011
Reinforcement Learning using Kernel-Based Stochastic Factorization NIPS 2011
Hierarchical Knowledge Gradient for Sequential Sampling JMLR 2011
A Cure for Variance Inflation in High Dimensional Kernel Principal Component Analysis JMLR 2011
Efficient Online Learning via Randomized Rounding NIPS 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
Distributed Delayed Stochastic Optimization NIPS 2011
Quasi-Newton Methods for Markov Chain Monte Carlo NIPS 2011
Generative Modeling for Maximizing Precision and Recall in Information Visualization AISTATS 2011
An Empirical Evaluation of Thompson Sampling NIPS 2011
Better Mini-Batch Algorithms via Accelerated Gradient Methods NIPS 2011
Randomized Algorithms for Comparison-based Search NIPS 2011
Sparse Recovery with Brownian Sensing NIPS 2011
Hashing Algorithms for Large-Scale Learning NIPS 2011
Budgeted Optimization with Concurrent Stochastic-Duration Experiments NIPS 2011
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning NIPS 2011
Stochastic convex optimization with bandit feedback NIPS 2011
An Application of Tree-Structured Expectation Propagation for Channel Decoding NIPS 2011
Statistical Tests for Optimization Efficiency NIPS 2011
Variance Reduction in Monte-Carlo Tree Search NIPS 2011
Collective Graphical Models NIPS 2011
Finite Time Analysis of Stratified Sampling for Monte Carlo NIPS 2011