Optimization

Non-Local Intrinsic Decomposition With Near-Infrared Priors ICCV 2019 No-Regret Bayesian Optimization with Unknown Hyperparameters JMLR 2019 Numerical Optimization to AI, and Back AAAI 2019 Offline Contextual Bayesian Optimization NeurIPS 2019 On Geometric Alignment in Low Doubling Dimension AAAI 2019 On Testing of Uniform Samplers AAAI 2019 On the number of variables to use in principal component regression NeurIPS 2019 On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019 Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory COLT 2019 Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019 Optimal Noise-Adding Mechanism in Additive Differential Privacy AISTATS 2019 Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface AAAI 2019 Parsimonious Online Learning with Kernels via Sparse Projections in Function Space JMLR 2019 Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring CVPR 2019 Radial Distortion Triangulation CVPR 2019 Riemannian Adaptive Optimization Methods ICLR 2019 Selecting Compliant Agents for Opt-in Micro-Tolling AAAI 2019 Shadowing Properties of Optimization Algorithms NeurIPS 2019 Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm NeurIPS 2019 Solving Empirical Risk Minimization in the Current Matrix Multiplication Time COLT 2019 Solving Vision Problems via Filtering ICCV 2019 Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager CVPR 2019 Spectrum Estimation from a Few Entries JMLR 2019 Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions COLT 2019 Stochastic Optimization of Sorting Networks via Continuous Relaxations ICLR 2019