Continuous Optimization

Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019 Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals JMLR 2019 Outlier Detection and Robust PCA Using a Convex Measure of Innovation NeurIPS 2019 Overcomplete Independent Component Analysis via SDP AISTATS 2019 Oversampling for Imbalanced Data via Optimal Transport AAAI 2019 Parametric Majorization for Data-Driven Energy Minimization Methods ICCV 2019 Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation ICCV 2019 Parsimonious Online Learning with Kernels via Sparse Projections in Function Space JMLR 2019 PDE Acceleration for Active Contours CVPR 2019 Periodic Kernel Approximation by Index Set Fourier Series Features UAI 2019 Power k-Means Clustering ICML 2019 Practical Coding Function Design for Time-Of-Flight Imaging CVPR 2019 Precision Matrix Estimation with Noisy and Missing Data AISTATS 2019 Primal-Dual Block Generalized Frank-Wolfe NeurIPS 2019 Projection-Free Bandit Convex Optimization AISTATS 2019 Projection onto Minkowski Sums with Application to Constrained Learning ICML 2019 Proximal Distance Algorithms: Theory and Practice JMLR 2019 Proximal Splitting Meets Variance Reduction AISTATS 2019 QUARCH: A New Quasi-Affine Reconstruction Stratum From Vague Relative Camera Orientation Knowledge ICCV 2019 Radial Distortion Triangulation CVPR 2019 Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics JMLR 2019 Randomized Iterative Algorithms for Fisher Discriminant Analysis UAI 2019 Reflective and Fluorescent Separation Under Narrow-Band Illumination CVPR 2019 Regularized Weighted Low Rank Approximation NeurIPS 2019 Restarting Frank-Wolfe AISTATS 2019