Continuous Optimization

Gene Regulatory Network Inference as Relaxed Graph Matching AAAI 2021 Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit JMLR 2021 Global Convergence of Online Optimization for Nonlinear Model Predictive Control NeurIPS 2021 Global Transport for Fluid Reconstruction With Learned Self-Supervision CVPR 2021 GO Hessian for Expectation-Based Objectives AAAI 2021 Gradient-based optimization for multi-resource spatial coverage problems UAI 2021 Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization AAAI 2021 Graph Learning for Inverse Landscape Genetics AAAI 2021 Graph Neural Networks Inspired by Classical Iterative Algorithms ICML 2021 Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence NeurIPS 2021 Hadamard Wirtinger Flow for Sparse Phase Retrieval AISTATS 2021 Heavy Ball Momentum for Conditional Gradient NeurIPS 2021 Heavy Ball Neural Ordinary Differential Equations NeurIPS 2021 High-dimensional Experimental Design and Kernel Bandits ICML 2021 High Quality Disparity Remapping With Two-Stage Warping ICCV 2021 Hilbert Sinkhorn Divergence for Optimal Transport CVPR 2021 Histogram Transform Ensembles for Large-scale Regression JMLR 2021 Homomorphic Sensing: Sparsity and Noise ICML 2021 HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections ICML 2021 Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ICML 2021 How Data Augmentation affects Optimization for Linear Regression NeurIPS 2021 Identification of Matrix Joint Block Diagonalization AISTATS 2021 IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters for Tracking WACV 2021 Implicit Regularization in Matrix Sensing via Mirror Descent NeurIPS 2021 Improved Complexity Bounds in Wasserstein Barycenter Problem AISTATS 2021