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Stochastic Methods

2788 directly classified papers

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Papers

Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018
Batched Large-scale Bayesian Optimization in High-dimensional Spaces AISTATS 2018
Statistical Sparse Online Regression: A Diffusion Approximation Perspective AISTATS 2018
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018
Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms AISTATS 2018
Convergence diagnostics for stochastic gradient descent with constant learning rate AISTATS 2018
Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis AISTATS 2018
Solving Large Sequential Games with the Excessive Gap Technique NIPS 2018
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications AISTATS 2018
Approximate Ranking from Pairwise Comparisons AISTATS 2018
Stochastic algorithms for entropy-regularized optimal transport problems AISTATS 2018
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018
SGDLibrary: A MATLAB library for stochastic optimization algorithms JMLR 2018
Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters JMLR 2018
Patchwork Kriging for Large-scale Gaussian Process Regression JMLR 2018
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order ICML 2018
Improving Sign Random Projections With Additional Information ICML 2018
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions ICML 2018
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication ICML 2018
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? ICML 2018
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs ICML 2018
Riemannian Stochastic Recursive Gradient Algorithm ICML 2018
Fast Variance Reduction Method with Stochastic Batch Size ICML 2018
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization ICML 2018
SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018