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Stochastic Methods

2788 directly classified papers

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Papers

Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates NIPS 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences NIPS 2018
Approximation algorithms for stochastic clustering NIPS 2018
Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization NIPS 2018
Scaling the Poisson GLM to massive neural datasets through polynomial approximations NIPS 2018
Global Non-convex Optimization with Discretized Diffusions NIPS 2018
Large-Scale Stochastic Sampling from the Probability Simplex NIPS 2018
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NIPS 2018
Online convex optimization for cumulative constraints NIPS 2018
A Faster Approximation Algorithm for the Gibbs Partition Function COLT 2018
Underdamped Langevin MCMC: A non-asymptotic analysis COLT 2018
Testing Symmetric Markov Chains From a Single Trajectory COLT 2018
Stochastic Expectation Maximization with Variance Reduction NIPS 2018
$\ell_1$ Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent COLT 2018
Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018
Best of both worlds: Stochastic & adversarial best-arm identification COLT 2018
Online Improper Learning with an Approximation Oracle NIPS 2018
Subpolynomial trace reconstruction for random strings \{and arbitrary deletion probability COLT 2018
Bounded-Loss Private Prediction Markets NIPS 2018
Counting Motifs with Graph Sampling COLT 2018
Mental Sampling in Multimodal Representations NIPS 2018
Directionally Controlled Time-of-Flight Ranging for Mobile Sensing Platforms RSS 2018
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization NIPS 2018
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NIPS 2018
Parallelised Bayesian Optimisation via Thompson Sampling AISTATS 2018