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Stochastic Methods

2,788 papers

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Papers

Towards Minimax Online Learning with Unknown Time Horizon 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
Towards an optimal stochastic alternating direction method of multipliers ICML 2014
Efficient Continuous-Time Markov Chain Estimation ICML 2014
Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers ICML 2014
Compact Random Feature Maps ICML 2014
Heavy-tailed regression with a generalized median-of-means ICML 2014
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014
Linear and Parallel Learning of Markov Random Fields ICML 2014
Gaussian Process Optimization with Mutual Information ICML 2014
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm ICML 2014
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods ICML 2014
Statistical analysis of stochastic gradient methods for generalized linear models ICML 2014
Bayesian Optimization with Inequality Constraints ICML 2014
Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014
Kernel Adaptive Metropolis-Hastings ICML 2014
Stochastic Gradient Hamiltonian Monte Carlo ICML 2014
Multi-period Trading Prediction Markets with Connections to Machine Learning ICML 2014
Influence Function Learning in Information Diffusion Networks ICML 2014
Natural Evolution Strategies JMLR 2014