Optimization

A Scalable Algorithm for Structured Kernel Feature Selection AISTATS 2015 A Solution for Multi-Alignment by Transformation Synchronisation CVPR 2015 As-Rigid-As-Possible Volumetric Shape-From-Template ICCV 2015 Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization NeurIPS 2015 Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care NeurIPS 2015 Attribute Efficient Linear Regression with Distribution-Dependent Sampling ICML 2015 A Universal Catalyst for First-Order Optimization NeurIPS 2015 A Universal Primal-Dual Convex Optimization Framework NeurIPS 2015 A Versatile Scene Model With Differentiable Visibility Applied to Generative Pose Estimation ICCV 2015 Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff NeurIPS 2015 Barrier Frank-Wolfe for Marginal Inference NeurIPS 2015 Bayesian Optimization with Exponential Convergence NeurIPS 2015 Beyond Convexity: Stochastic Quasi-Convex Optimization NeurIPS 2015 Black-box optimization of noisy functions with unknown smoothness NeurIPS 2015 Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization ICML 2015 Blur Kernel Estimation Using Normalized Color-Line Prior CVPR 2015 Building Proteins in a Day: Efficient 3D Molecular Reconstruction CVPR 2015 Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery JMLR 2015 Causal Video Object Segmentation From Persistence of Occlusions CVPR 2015 Collaborative Filtering with Graph Information: Consistency and Scalable Methods NeurIPS 2015 Collaboratively Learning Preferences from Ordinal Data NeurIPS 2015 Column Selection via Adaptive Sampling NeurIPS 2015 Combinatorial Cascading Bandits NeurIPS 2015 Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection JMLR 2015 Competing with the Empirical Risk Minimizer in a Single Pass COLT 2015