Stochastic Methods

Practical and Optimal LSH for Angular Distance NeurIPS 2015 Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015 Probabilistic Line Searches for Stochastic Optimization NeurIPS 2015 Qualitative Multi-Armed Bandits: A Quantile-Based Approach ICML 2015 Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition NeurIPS 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Regularized EM Algorithms: A Unified Framework and Statistical Guarantees NeurIPS 2015 Revenue Optimization against Strategic Buyers NeurIPS 2015 Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015 Robust Large Scale Monocular Visual SLAM CVPR 2015 Robust Portfolio Optimization NeurIPS 2015 Simple regret for infinitely many armed bandits ICML 2015 Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares ICML 2015 Stochastic Dual Coordinate Ascent with Adaptive Probabilities ICML 2015 Stochastic Optimization with Importance Sampling for Regularized Loss Minimization ICML 2015 StopWasting My Gradients: Practical SVRG NeurIPS 2015 Subgraph Matching Using Compactness Prior for Robust Feature Correspondence CVPR 2015 Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NeurIPS 2015 The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling ICML 2015 Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest RSS 2015 Theory of Dual-sparse Regularized Randomized Reduction ICML 2015 The Power of Randomization: Distributed Submodular Maximization on Massive Datasets ICML 2015 The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose CVPR 2015 Variance Reduction via Antithetic Markov Chains AISTATS 2015 Variational Consensus Monte Carlo NeurIPS 2015