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Stochastic Methods

2788 directly classified papers

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Papers

Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Three-Dimensional Motion Tracking CVPR 2014
Gaussian Process Optimization with Mutual Information ICML 2014
Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels ICML 2014
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014
Bayesian Optimization with Inequality Constraints ICML 2014
Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014
Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization JMLR 2014
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits JMLR 2014
Beyond the Regret Minimization Barrier: Optimal Algorithms for Stochastic Strongly-Convex Optimization JMLR 2014
An Accelerated Proximal Coordinate Gradient Method NIPS 2014
Community Detection via Random and Adaptive Sampling COLT 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014
Learning without concentration COLT 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo JMLR 2014
Diverse Randomized Agents Vote to Win NIPS 2014
Natural Evolution Strategies JMLR 2014
Influence Function Learning in Information Diffusion Networks ICML 2014
A Statistical Perspective on Algorithmic Leveraging ICML 2014
Fast and Robust Least Squares Estimation in Corrupted Linear Models NIPS 2014