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Stochastic Methods

2,788 papers

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Papers

Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition RSS 2015
Addressing Constraint Robustness to Torque Errors in Task-Space Inverse Dynamics RSS 2015
A Spatiotemporal Optimal Stopping Problem for Mission Monitoring with Stationary Viewpoints RSS 2015
From Stochastic Mixability to Fast Rates NIPS 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NIPS 2014
Extreme bandits NIPS 2014
Stochastic Proximal Gradient Descent with Acceleration Techniques NIPS 2014
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NIPS 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NIPS 2014
An Accelerated Proximal Coordinate Gradient Method NIPS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Parallel Feature Selection Inspired by Group Testing NIPS 2014
A* Sampling NIPS 2014
A Boosting Framework on Grounds of Online Learning NIPS 2014
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NIPS 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Accelerated Mini-batch Randomized Block Coordinate Descent Method NIPS 2014
Fast and Robust Least Squares Estimation in Corrupted Linear Models NIPS 2014
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NIPS 2014
DFacTo: Distributed Factorization of Tensors NIPS 2014
Extremal Mechanisms for Local Differential Privacy NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Positive Curvature and Hamiltonian Monte Carlo NIPS 2014
Learning Time-Varying Coverage Functions NIPS 2014
Diverse Randomized Agents Vote to Win NIPS 2014