Continuous Optimization

Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices ICML 2018 New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018 Non-convex Conditional Gradient Sliding ICML 2018 Non-Convex Matrix Completion Against a Semi-Random Adversary COLT 2018 Non-Linear Temporal Subspace Representations for Activity Recognition CVPR 2018 Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration CVPR 2018 Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization AISTATS 2018 On Acceleration with Noise-Corrupted Gradients ICML 2018 On Controllable Sparse Alternatives to Softmax NeurIPS 2018 On denoising modulo 1 samples of a function AISTATS 2018 On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization JMLR 2018 Online Continuous Submodular Maximization AISTATS 2018 Online Improper Learning with an Approximation Oracle NeurIPS 2018 On Matching Pursuit and Coordinate Descent ICML 2018 On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NeurIPS 2018 On Tight Bounds for the Lasso JMLR 2018 On Truly Block Eigensolvers via Riemannian Optimization AISTATS 2018 Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization NeurIPS 2018 Optimal Algorithms for Non-Smooth Distributed Optimization in Networks NeurIPS 2018 Optimal Structured Light à La Carte CVPR 2018 Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data ICML 2018 Optimization, fast and slow: optimally switching between local and Bayesian optimization ICML 2018 Optimization for Approximate Submodularity NeurIPS 2018 Optimization over Continuous and Multi-dimensional Decisions with Observational Data NeurIPS 2018 Orchestrating a Network of Mereotopological Theories: An Abridged Report IJCAI 2018