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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Sparse Accelerated Exponential Weights AISTATS 2017
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NIPS 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NIPS 2017
An experimental analysis of Noise-Contrastive Estimation: the noise distribution matters EACL 2017
An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits COLT 2017
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017
Stochastic Constraint Programming with And-Or Branch-and-Bound IJCAI 2017
XOR-Sampling for Network Design with Correlated Stochastic Events IJCAI 2017
Coordinated Versus Decentralized Exploration In Multi-Agent Multi-Armed Bandits IJCAI 2017
Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques with Evaluations in Clustering Aggregation IJCAI 2017
Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017
Optimal Rates for Multi-pass Stochastic Gradient Methods JMLR 2017
Simple strategies for recovering inner products from coarsely quantized random projections NIPS 2017
Identifying Outlier Arms in Multi-Armed Bandit NIPS 2017
Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling IJCAI 2017
Storage Fit Learning with Unlabeled Data IJCAI 2017
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines AISTATS 2017
Zap Q-Learning NIPS 2017
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization NIPS 2017
Starting Small - Learning with Adaptive Sample Sizes ICML 2016
Online Stochastic Linear Optimization under One-bit Feedback ICML 2016
Adaptive Algorithms for Online Convex Optimization with Long-term Constraints ICML 2016
A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization ICML 2016
Stochastic Quasi-Newton Langevin Monte Carlo ICML 2016
Fast Rate Analysis of Some Stochastic Optimization Algorithms ICML 2016