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Stochastic Methods

2788 directly classified papers

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Papers

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NIPS 2014
A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014
Random Laplace Feature Maps for Semigroup Kernels on Histograms CVPR 2014
Fast Stochastic Alternating Direction Method of Multipliers ICML 2014
3D Shape and Indirect Appearance by Structured Light Transport CVPR 2014
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm ICML 2014
Multi-period Trading Prediction Markets with Connections to Machine Learning ICML 2014
Linear and Parallel Learning of Markov Random Fields ICML 2014
Kernel Adaptive Metropolis-Hastings ICML 2014
Stochastic Gradient Hamiltonian Monte Carlo ICML 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NIPS 2014
Accelerated Mini-batch Randomized Block Coordinate Descent Method NIPS 2014
Extreme bandits NIPS 2014
Evolutionary Quasi-random Search for Hand Articulations Tracking CVPR 2014
Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers ICML 2014
Towards building a Crowd-Sourced Sky Map AISTATS 2014
Towards Minimax Online Learning with Unknown Time Horizon ICML 2014
Learning Time-Varying Coverage Functions NIPS 2014