numerical optimization

PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond RSS 2022 Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood ICML 2022 The Fast Kernel Transform AISTATS 2022 Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022 A Deflation Based Fast and Robust Preconditioner for Bundle Adjustment WACV 2021 Square Root Bundle Adjustment for Large-Scale Reconstruction CVPR 2021 The ensmallen library for flexible numerical optimization JMLR 2021 Actionable Ethics through Neural Learning AAAI 2020 An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem AISTATS 2020 Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group JMLR 2020 Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm NeurIPS 2020 Acceleration via Symplectic Discretization of High-Resolution Differential Equations NeurIPS 2019 Curvature-Exploiting Acceleration of Elastic Net Computations ICML 2019 Numerical Optimization to AI, and Back AAAI 2019 Singleshot : a scalable Tucker tensor decomposition NeurIPS 2019 Solving Vision Problems via Filtering ICCV 2019 Synthesizing Datalog Programs using Numerical Relaxation IJCAI 2019 Towards Practical Alternating Least-Squares for CCA NeurIPS 2019 Direct Runge-Kutta Discretization Achieves Acceleration NeurIPS 2018 Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit ICML 2018 Sketching for Kronecker Product Regression and P-splines AISTATS 2018 A Clever Elimination Strategy for Efficient Minimal Solvers CVPR 2017 A Semismooth Newton Method for Fast, Generic Convex Programming ICML 2017 Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences NeurIPS 2017 Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations ICML 2017