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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers JMLR 2018
Scaling up Data Augmentation MCMC via Calibration JMLR 2018
Sparse Estimation in Ising Model via Penalized Monte Carlo Methods JMLR 2018
Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods JMLR 2018
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches ICML 2018
Bucket Renormalization for Approximate Inference ICML 2018
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo ICML 2018
An Iterative, Sketching-based Framework for Ridge Regression ICML 2018
Stochastic Wasserstein Barycenters ICML 2018
On Acceleration with Noise-Corrupted Gradients ICML 2018
Minibatch Gibbs Sampling on Large Graphical Models ICML 2018
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines ICML 2018
Unbiased Objective Estimation in Predictive Optimization ICML 2018
Kernel Recursive ABC: Point Estimation with Intractable Likelihood ICML 2018
Frank-Wolfe with Subsampling Oracle ICML 2018
Convergence guarantees for a class of non-convex and non-smooth optimization problems ICML 2018
Level-Set Methods for Finite-Sum Constrained Convex Optimization ICML 2018
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018
Stochastic Proximal Algorithms for AUC Maximization ICML 2018
Approximation Guarantees for Adaptive Sampling ICML 2018
Latent RANSAC CVPR 2018
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap ICML 2018
Locally Private Hypothesis Testing ICML 2018
Submatrix localization via message passing JMLR 2018
Frustratingly Easy Model Ensemble for Abstractive Summarization EMNLP 2018