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Stochastic Methods

2788 directly classified papers

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Papers

From Stochastic Mixability to Fast Rates NIPS 2014
Stochastic Proximal Gradient Descent with Acceleration Techniques NIPS 2014
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NIPS 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NIPS 2014
Control of Robotic Mobility-On-Demand Systems: a Queueing-Theoretical Perspective RSS 2014
Estimation, Optimization, and Parallelism when Data is Sparse NIPS 2013
Human Re-identification by Matching Compositional Template with Cluster Sampling ICCV 2013
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization ICML 2013
Quantile Regression for Large-scale Applications ICML 2013
Mini-Batch Primal and Dual Methods for SVMs ICML 2013
EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory ICCV 2013
Variance Reduction for Stochastic Gradient Optimization NIPS 2013
High-Dimensional Gaussian Process Bandits NIPS 2013
Fast Determinantal Point Process Sampling with Application to Clustering NIPS 2013
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions ICML 2013
Random Spanning Trees and the Prediction of Weighted Graphs JMLR 2013
New Subsampling Algorithms for Fast Least Squares Regression NIPS 2013
Robust Data-Driven Dynamic Programming NIPS 2013
The Cross-Entropy Method Optimizes for Quantiles ICML 2013
Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013
On the Convergence of Maximum Variance Unfolding JMLR 2013
Online Learning under Delayed Feedback ICML 2013
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013
Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013
A simple sketching algorithm for entropy estimation over streaming data AISTATS 2013