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Stochastic Methods

2,788 papers

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Papers

Optimistic Planning for the Stochastic Knapsack Problem AISTATS 2017
Finite-sum Composition Optimization via Variance Reduced Gradient Descent AISTATS 2017
Relativistic Monte Carlo AISTATS 2017
Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017
Boundary Crossing for General Exponential Families ALT 2017
Open Problem: Meeting Times for Learning Random Automata COLT 2017
Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo COLT 2017
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
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints COLT 2017
Memory and Communication Efficient Distributed Stochastic Optimization with Minibatch Prox COLT 2017
MCMLSD: A Dynamic Programming Approach to Line Segment Detection CVPR 2017
Provable Self-Representation Based Outlier Detection in a Union of Subspaces CVPR 2017
Noise-Blind Image Deblurring CVPR 2017
Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm CVPR 2017
Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos CVPR 2017
Metaheuristic Approaches to Lexical Substitution and Simplification EACL 2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017
Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter ICML 2017
Lost Relatives of the Gumbel Trick ICML 2017
Dueling Bandits with Weak Regret ICML 2017
On Kernelized Multi-armed Bandits ICML 2017
Distributed Batch Gaussian Process Optimization ICML 2017
Probabilistic Path Hamiltonian Monte Carlo ICML 2017