← Optimization & Theory
Machine Learning › Optimization & Theory ›

Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Stochastic Proximal Algorithms for AUC Maximization ICML 2018
Sparsified SGD with Memory NIPS 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising ICML 2018
Asynchronous Byzantine Machine Learning (the case of SGD) ICML 2018
Stochastic Variance-Reduced Hamilton Monte Carlo Methods ICML 2018
Averaging Stochastic Gradient Descent on Riemannian Manifolds COLT 2018
Minimax Bounds on Stochastic Batched Convex Optimization COLT 2018
The Many Faces of Exponential Weights in Online Learning COLT 2018
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization ICML 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning CORL 2018
How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD NIPS 2018
Information Directed Sampling and Bandits with Heteroscedastic Noise COLT 2018
Online Variance Reduction for Stochastic Optimization COLT 2018
Scaling up Data Augmentation MCMC via Calibration JMLR 2018
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NIPS 2018
Exponentiated Strongly Rayleigh Distributions NIPS 2018
Asymptotic optimality of adaptive importance sampling NIPS 2018
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity NIPS 2018
Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation NIPS 2018
State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes NIPS 2018
Fast MCMC Sampling Algorithms on Polytopes JMLR 2018
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization ICML 2018
Efficient Language Model Adaptation with Noise Contrastive Estimation and Kullback-Leibler Regularization INTERSPEECH 2018