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Stochastic Methods

2,788 papers

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Papers

Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NIPS 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013
Speeding up Permutation Testing in Neuroimaging NIPS 2013
Generalized Random Utility Models with Multiple Types NIPS 2013
Robust Data-Driven Dynamic Programming NIPS 2013
Mixed Optimization for Smooth Functions NIPS 2013
Blind Calibration in Compressed Sensing using Message Passing Algorithms NIPS 2013
Distributed and Adaptive Darting Monte Carlo through Regenerations AISTATS 2013
A simple sketching algorithm for entropy estimation over streaming data AISTATS 2013
Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013
Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013
Open Problem: Fast Stochastic Exp-Concave Optimization COLT 2013
Passive Learning with Target Risk COLT 2013
Online Learning with Predictable Sequences COLT 2013
Non-rigid Structure from Motion with Diffusion Maps Prior CVPR 2013
Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point CVPR 2013
A Fully-Connected Layered Model of Foreground and Background Flow CVPR 2013
A Statistical Model for Recreational Trails in Aerial Images CVPR 2013
Stochastic Deconvolution CVPR 2013
EVSAC: Accelerating Hypotheses Generation by Modeling Matching Scores with Extreme Value Theory ICCV 2013
Human Re-identification by Matching Compositional Template with Cluster Sampling ICCV 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013
Combinatorial Multi-Armed Bandit: General Framework and Applications ICML 2013
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization ICML 2013
Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013