Stochastic Methods

Ambient Occlusion via Compressive Visibility Estimation CVPR 2015 An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization ICML 2015 A Spatiotemporal Optimal Stopping Problem for Mission Monitoring with Stationary Viewpoints RSS 2015 A Statistical Perspective on Algorithmic Leveraging JMLR 2015 Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NeurIPS 2015 Beyond Convexity: Stochastic Quasi-Convex Optimization NeurIPS 2015 Bilinear Random Projections for Locality-Sensitive Binary Codes CVPR 2015 Black-box optimization of noisy functions with unknown smoothness NeurIPS 2015 Building Proteins in a Day: Efficient 3D Molecular Reconstruction CVPR 2015 Column Selection via Adaptive Sampling NeurIPS 2015 Context-Guided Diffusion for Label Propagation on Graphs ICCV 2015 Convergence Analysis of Prediction Markets via Randomized Subspace Descent NeurIPS 2015 Convergence rates of sub-sampled Newton methods NeurIPS 2015 Copeland Dueling Bandits NeurIPS 2015 Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NeurIPS 2015 Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition RSS 2015 Efficient Learning in Large-Scale Combinatorial Semi-Bandits ICML 2015 Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions COLT 2015 Exceptional Rotations of Random Graphs: A VC Theory JMLR 2015 Extending Gossip Algorithms to Distributed Estimation of U-statistics NeurIPS 2015 Fast and Memory Optimal Low-Rank Matrix Approximation NeurIPS 2015 Fast Bidirectional Probability Estimation in Markov Models NeurIPS 2015 Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods ICML 2015 Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis ICML 2015 Global Multi-armed Bandits with Hölder Continuity AISTATS 2015