numerical optimization

An Enhanced Levenberg--Marquardt Method via Gram Reduction AAAI 2025 De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem AAAI 2025 EnliveningGS: Active Locomotion of 3DGS CVPR 2025 Matrix-Free Shared Intrinsics Bundle Adjustment CVPR 2025 Conformer-Based Speech Recognition On Extreme Edge-Computing Devices NAACL 2024 Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024 Fast ODE-based Sampling for Diffusion Models in Around 5 Steps CVPR 2024 Learning for CasADi: Data-driven Models in Numerical Optimization L4DC 2024 Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique ICML 2024 Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport NeurIPS 2024 A Deep Conjugate Direction Method for Iteratively Solving Linear Systems ICML 2023 DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023 On the Estimation of Gaussian Mixture Copula Models ICML 2023 Power Bundle Adjustment for Large-Scale 3D Reconstruction CVPR 2023 Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023 Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation AAAI 2023 Unexpected Improvements to Expected Improvement for Bayesian Optimization NeurIPS 2023 A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data NeurIPS 2022 Collocation Methods for Second Order Systems RSS 2022 Fast and accurate optimization on the orthogonal manifold without retraction AISTATS 2022 Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games AAAI 2022 GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision CVPR 2022 HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022 Iterative Double Sketching for Faster Least-Squares Optimization ICML 2022 Optimization for Classical Machine Learning Problems on the GPU AAAI 2022