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Stochastic Methods

2788 directly classified papers

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Papers

Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$ COLT 2017
Memoryless Sequences for Differentiable Losses COLT 2017
Submodular Optimization under Noise COLT 2017
Diving into the shallows: a computational perspective on large-scale shallow learning NIPS 2017
Non-convex Finite-Sum Optimization Via SCSG Methods NIPS 2017
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NIPS 2017
Robust Advertisement Allocation IJCAI 2017
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors ACML 2017
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure NIPS 2017
Nonbacktracking Bounds on the Influence in Independent Cascade Models NIPS 2017
Online Learning for Multivariate Hawkes Processes NIPS 2017
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization NIPS 2017
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NIPS 2017
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers NIPS 2017
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling NIPS 2017
On Frank-Wolfe and Equilibrium Computation NIPS 2017
Acceleration and Averaging in Stochastic Descent Dynamics NIPS 2017
Coded Distributed Computing for Inverse Problems NIPS 2017
Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems NIPS 2017
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data NIPS 2017
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data NIPS 2017
Linear Time Computation of Moments in Sum-Product Networks NIPS 2017
Accelerated consensus via Min-Sum Splitting NIPS 2017
Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos CVPR 2017
Provable Self-Representation Based Outlier Detection in a Union of Subspaces CVPR 2017