Continuous Optimization

KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization UAI 2023 Large-scale similarity search with Optimal Transport EMNLP 2023 Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild AAAI 2023 Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares CVPR 2023 Learning Cuts via Enumeration Oracles NeurIPS 2023 Learning Fractals by Gradient Descent AAAI 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023 Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces JMLR 2023 Learning-Rate-Free Learning by D-Adaptation ICML 2023 Learning Regularized Monotone Graphon Mean-Field Games NeurIPS 2023 Linearization Algorithms for Fully Composite Optimization COLT 2023 Linear optimal partial transport embedding ICML 2023 Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint IJCAI 2023 LinSATNet: The Positive Linear Satisfiability Neural Networks ICML 2023 Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices NeurIPS 2023 Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search NeurIPS 2023 Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields CVPR 2023 LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees NeurIPS 2023 Low-complexity Broadband Beampattern Synthesis using Array Response Control Interspeech 2023 Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set ICML 2023 Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023 Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models COLT 2023 Lower Bounds on Adaptive Sensing for Matrix Recovery NeurIPS 2023 Low-rank matrix recovery with unknown correspondence UAI 2023 Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence JMLR 2023