iterative optimization

Towards Fairer Centroids in K-means Clustering AAAI 2024 A Scalable and Efficient Iterative Method for Copying Machine Learning Classifiers JMLR 2023 Fast Full-frame Video Stabilization with Iterative Optimization ICCV 2023 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning CVPR 2023 Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions CVPR 2023 IEBins: Iterative Elastic Bins for Monocular Depth Estimation NeurIPS 2023 Iterative Superquadric Recomposition of 3D Objects from Multiple Views ICCV 2023 Pruning Pre-trained Language Models with Principled Importance and Self-regularization ACL 2023 Select and Optimize: Learning to solve large-scale TSP instances AISTATS 2023 TD Convergence: An Optimization Perspective NeurIPS 2023 An Iterative Quantum Approach for Transformation Estimation From Point Sets CVPR 2022 Coupled Iterative Refinement for 6D Multi-Object Pose Estimation CVPR 2022 Efficient Multi-View Stereo by Iterative Dynamic Cost Volume CVPR 2022 Gradient Based Clustering ICML 2022 IFOR: Iterative Flow Minimization for Robotic Object Rearrangement CVPR 2022 Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression ICML 2022 Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective AISTATS 2022 A Confidence-Based Iterative Solver of Depths and Surface Normals for Deep Multi-View Stereo ICCV 2021 (Just) A Spoonful of Refinements Helps the Registration Error Go Down ICCV 2021 Q-Match: Iterative Shape Matching via Quantum Annealing ICCV 2021 Projection-Based Constrained Policy Optimization ICLR 2020 Sparseness-Aware DOA Estimation with Majorization Minimization Interspeech 2020 Style Transfer for Light Field Photography WACV 2020 ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM JMLR 2019 Curls & Whey: Boosting Black-Box Adversarial Attacks CVPR 2019