Continuous Optimization

An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization AISTATS 2016 A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing NeurIPS 2016 A Non-generative Framework and Convex Relaxations for Unsupervised Learning NeurIPS 2016 A posteriori error bounds for joint matrix decomposition problems NeurIPS 2016 Approximate Inference Using DC Programming For Collective Graphical Models AISTATS 2016 Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods NeurIPS 2016 A primal-dual method for conic constrained distributed optimization problems NeurIPS 2016 A scaled Bregman theorem with applications NeurIPS 2016 A Simple Practical Accelerated Method for Finite Sums NeurIPS 2016 A Spectral Modulation Sensitivity Weighted Pre-Emphasis Filter for Active Noise Control System Interspeech 2016 A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums ICML 2016 Asynchronous Parallel Greedy Coordinate Descent NeurIPS 2016 A Unified Approach for Learning the Parameters of Sum-Product Networks NeurIPS 2016 Automatic Glottal Inverse Filtering with Non-Negative Matrix Factorization Interspeech 2016 A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation CVPR 2016 Basis Learning as an Algorithmic Primitive COLT 2016 Bayesian Intermittent Demand Forecasting for Large Inventories NeurIPS 2016 Black-box Optimization with a Politician ICML 2016 Blind Image Deconvolution by Automatic Gradient Activation CVPR 2016 CMA-ES with Optimal Covariance Update and Storage Complexity NeurIPS 2016 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Computationally Efficient Nyström Approximation using Fast Transforms ICML 2016 Convergence guarantees for kernel-based quadrature rules in misspecified settings NeurIPS 2016 Convergence of an Alternating Maximization Procedure JMLR 2016 Convex Block-sparse Linear Regression with Expanders – Provably AISTATS 2016