divide and conquer

Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021 Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback ALT 2021 Data-driven confidence bands for distributed nonparametric regression COLT 2020 Divide and Conquer: From Complexity to Simplicity for Lay Summarization EMNLP 2020 Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm AAAI 2020 Going Much Wider with Deep Networks for Image Super-Resolution WACV 2020 Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion JMLR 2020 SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation CVPR 2020 Divide and Conquer the Embedding Space for Metric Learning CVPR 2019 Rates of Convergence for Large-scale Nearest Neighbor Classification NeurIPS 2019 Divide-and-Conquer for Debiased l_1-norm Support Vector Machine in Ultra-high Dimensions JMLR 2018 Divide and Conquer Networks ICLR 2018 Fast SVM Trained by Divide-and-Conquer Anchors IJCAI 2017 Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates JMLR 2015 Learning to Divide and Conquer for Online Multi-Target Tracking ICCV 2015 A Divide-and-Conquer Solver for Kernel Support Vector Machines ICML 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull NeurIPS 2014 Clustered Support Vector Machines AISTATS 2013 Divide and Conquer Kernel Ridge Regression COLT 2013 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 Divide-and-Conquer Matrix Factorization NeurIPS 2011 Data Association in O(n) for Divide and Conquer SLAM RSS 2007 Adaptive Dynamics with Efficient Contact Handling for Articulated Robots RSS 2006