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Stochastic Methods

2788 directly classified papers

Papers per year

Papers

On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2019
A Kernel Multiple Change-point Algorithm via Model Selection JMLR 2019
Approximation Algorithms for Stochastic Clustering JMLR 2019
Max-value Entropy Search for Multi-Objective Bayesian Optimization NIPS 2019
More Efficient Estimation for Logistic Regression with Optimal Subsamples JMLR 2019
Generalized Score Matching for Non-Negative Data JMLR 2019
Analysis of Langevin Monte Carlo via Convex Optimization JMLR 2019
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices JMLR 2019
Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations JMLR 2019
An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search AAAI 2019
Exploiting structure of uncertainty for efficient matroid semi-bandits ICML 2019
Thompson Sampling on Symmetric Alpha-Stable Bandits IJCAI 2019
Dynamic Pricing in High-dimensions JMLR 2019
Online sampling from log-concave distributions NIPS 2019
Empirical Mechanism Design: Designing Mechanisms from Data UAI 2019
On two ways to use determinantal point processes for Monte Carlo integration NIPS 2019
Sampling and Optimization on Convex Sets in Riemannian Manifolds of Non-Negative Curvature COLT 2019
Discrepancy, Coresets, and Sketches in Machine Learning COLT 2019
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression COLT 2019
Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis IJCAI 2019
Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019
SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019
Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics AISTATS 2019
List-decodable Linear Regression NIPS 2019
Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations JMLR 2019