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Stochastic Methods

55 directly classified papers

Papers per year

Papers

Understanding the Effect of Stochasticity in Policy Optimization NIPS 2021
Random Reshuffling: Simple Analysis with Vast Improvements NIPS 2020
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach AAAI 2020
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits AAAI 2020
SGD with shuffling: optimal rates without component convexity and large epoch requirements NIPS 2020
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping NIPS 2020
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NIPS 2019
Online sampling from log-concave distributions NIPS 2019
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems NIPS 2019
Communication trade-offs for Local-SGD with large step size NIPS 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NIPS 2019
Exact sampling of determinantal point processes with sublinear time preprocessing NIPS 2019
Stochastic Proximal Algorithms for AUC Maximization ICML 2018
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation NIPS 2018
Byzantine Stochastic Gradient Descent NIPS 2018
Stochastic Chebyshev Gradient Descent for Spectral Optimization NIPS 2018
Learning with SGD and Random Features NIPS 2018
Near Optimal Sketching of Low-Rank Tensor Regression NIPS 2017
Task-based End-to-end Model Learning in Stochastic Optimization NIPS 2017
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques NIPS 2016
Improved Dropout for Shallow and Deep Learning NIPS 2016
Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NIPS 2015
SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk NIPS 2015
Stochastic variational inference for hidden Markov models NIPS 2014
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NIPS 2014