Optimization

Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NeurIPS 2016 Learning to learn by gradient descent by gradient descent NeurIPS 2016 Learning Using Anti-Training with Sacrificial Data JMLR 2016 LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems JMLR 2016 Linear Convergence of Randomized Feasible Descent Methods Under the Weak Strong Convexity Assumption JMLR 2016 Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization ACML 2016 Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes NeurIPS 2016 Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation CVPR 2016 Linking losses for density ratio and class-probability estimation ICML 2016 Local Minimax Complexity of Stochastic Convex Optimization NeurIPS 2016 Loss Minimization and Parameter Estimation with Heavy Tails JMLR 2016 Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis JMLR 2016 Low-Rank Matrix Approximation with Stability ICML 2016 Low-rank tensor completion: a Riemannian manifold preconditioning approach ICML 2016 Majorisation-Minimisation Based Optimisation of the Composite Autoregressive System with Application to Glottal Inverse Filtering Interspeech 2016 Mapping Estimation for Discrete Optimal Transport NeurIPS 2016 Matrix Completion has No Spurious Local Minimum NeurIPS 2016 Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization ICML 2016 Maximization of Approximately Submodular Functions NeurIPS 2016 Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NeurIPS 2016 Maximum a posteriori Based Decoding for CTC Acoustic Models Interspeech 2016 Measuring Neural Net Robustness with Constraints NeurIPS 2016 Memory Efficient Max Flow for Multi-Label Submodular MRFs CVPR 2016 Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning ICML 2016 MetaGrad: Multiple Learning Rates in Online Learning NeurIPS 2016