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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity ICML 2018
Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima NIPS 2018
SEGA: Variance Reduction via Gradient Sketching NIPS 2018
Sampling Informative Training Data for RNN Language Models ACL 2018
Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization ICML 2018
Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate ICML 2018
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning ICML 2018
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption ICML 2018
HOGWILD!-Gibbs can be PanAccurate NIPS 2018
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates ICML 2018
Approximate Bayesian Computation with Kullback-Leibler Divergence as Data Discrepancy AISTATS 2018
Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018
Stochastic Expectation Maximization with Variance Reduction NIPS 2018
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation EMNLP 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NIPS 2018
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction EMNLP 2018
First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time NIPS 2018
Stein Variational Gradient Descent Without Gradient ICML 2018
Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach NIPS 2018
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo ICML 2018
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data ICML 2018
Towards Memory-Friendly Deterministic Incremental Gradient Method AISTATS 2018
Contextual Bandits with Stochastic Experts AISTATS 2018
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance NIPS 2018