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Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates

22 May 2013

Papers citing "Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates"

50 / 148 papers shown

Title
Learning Theory of Decentralized Robust Kernel-Based Learning Algorithm Zhan Yu 147 0 0 05 Jun 2025
Free Random Projection for In-Context Reinforcement Learning Tomohiro Hayase B. Collins Nakamasa Inoue 91 0 0 09 Apr 2025
Supervised Kernel Thinning Albert Gong Kyuseong Choi Raaz Dwivedi 177 0 0 17 Oct 2024
Distributed Learning with Discretely Observed Functional Data Jiading Liu Lei Shi 48 0 0 03 Oct 2024
Optimal Kernel Quantile Learning with Random Features Caixing Wang Xingdong Feng 148 1 0 24 Aug 2024
Byzantine-tolerant distributed learning of finite mixture models Qiong Zhang Jiahua Chen Jiahua Chen FedML 144 0 0 19 Jul 2024
ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data Kevin Luo Yufan Li Pragya Sur 89 3 0 17 Jun 2024
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers Eros Fani Raffaello Camoriano Barbara Caputo Marco Ciccone 86 4 0 03 Jun 2024
Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature Ruikai Yang Fan He Mingzhen He Jie Yang Xiaolin Huang 143 2 0 13 May 2024
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery Caixing Wang Ziliang Shen 71 0 0 13 May 2024
Adaptive Parameter Selection for Kernel Ridge Regression Shao-Bo Lin 26 3 0 10 Dec 2023
Federated Online and Bandit Convex Optimization Kumar Kshitij Patel Lingxiao Wang Aadirupa Saha Nathan Srebro FedML 79 9 0 29 Nov 2023
Distributed Uncertainty Quantification of Kernel Interpolation on Spheres Shao-Bo Lin Xingping Sun Di Wang 18 3 0 25 Oct 2023
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos Di Wang Xiaotong Liu Shao-Bo Lin Ding-Xuan Zhou 75 0 0 08 Sep 2023
Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models Ruiqi Liu Kexuan Li Meng Li 15 3 0 26 Aug 2023
Locally Adaptive and Differentiable Regression Mingxuan Han Varun Shankar J. M. Phillips Chenglong Ye 94 2 0 14 Aug 2023
Nonlinear Meta-Learning Can Guarantee Faster Rates Dimitri Meunier Zhu Li Arthur Gretton Samory Kpotufe 170 7 0 20 Jul 2023
Estimation of an Order Book Dependent Hawkes Process for Large Datasets Luca Mucciante Alessio Sancetta 25 4 0 18 Jul 2023
Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers M. Sajid A. K. Malik M. Tanveer 72 19 0 15 Jul 2023
Distributed Semi-Supervised Sparse Statistical Inference Jiyuan Tu Weidong Liu Xiaojun Mao Mingyue Xu 43 1 0 17 Jun 2023
Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression Shahar Stein Ioushua Inbar Hasidim O. Shayevitz M. Feder 61 0 0 14 Jun 2023
Lp- and Risk Consistency of Localized SVMs Hannes Köhler 117 0 0 16 May 2023
Distributed Gradient Descent for Functional Learning Zhan Yu Jun Fan Zhongjie Shi Ding-Xuan Zhou 61 3 0 12 May 2023
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 74 43 0 13 Apr 2023
On the Optimality of Misspecified Spectral Algorithms Hao Zhang Yicheng Li Qian Lin 79 18 0 27 Mar 2023
Sketching with Spherical Designs for Noisy Data Fitting on Spheres Shao-Bo Lin Di Wang Ding-Xuan Zhou 57 2 0 08 Mar 2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes Di Wang Yao Wang Shaojie Tang OffRL 143 1 0 21 Feb 2023
An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models Yufeng Zhang Boyi Liu Qi Cai Lingxiao Wang Zhaoran Wang 121 13 0 30 Dec 2022
A Decentralized Framework for Kernel PCA with Projection Consensus Constraints Fan He Ruikai Yang Lei Shi Xiaolin Huang 81 2 0 29 Nov 2022
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression Jiading Liu Lei Shi 85 12 0 20 Nov 2022
Local SGD in Overparameterized Linear Regression Mike Nguyen Charly Kirst Nicole Mücke 58 0 0 20 Oct 2022
Distributed Estimation and Inference for Semi-parametric Binary Response Models Xinyu Chen Wenbo Jing Weidong Liu Yichen Zhang 47 2 0 15 Oct 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators Ziyan Yin 77 0 0 13 Jul 2022
Federated Data Analytics: A Study on Linear Models Xubo Yue Raed Al Kontar Ana María Estrada Gómez FedML 79 14 0 15 Jun 2022
DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation Yifan He Ruiyang Wu Yong Zhou Yang Feng 57 1 0 16 May 2022
Global Bias-Corrected Divide-and-Conquer by Quantile-Matched Composite for General Nonparametric Regressions Yan Chen Lu Lin 22 0 0 29 Jan 2022
Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions Wei Cao Yanyuan Wang Xiaowei Zhang 19 5 0 09 Jan 2022
Markov subsampling based Huber Criterion Tieliang Gong Yuxin Dong Hong Chen B. Dong Chen Li 55 2 0 12 Dec 2021
Radial Basis Function Approximation with Distributively Stored Data on Spheres Han Feng Shao-Bo Lin Ding-Xuan Zhou 19 8 0 05 Dec 2021
Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR Dheeraj Baby Hilaf Hasson Yuyang Wang 78 3 0 22 Nov 2021
Nyström Regularization for Time Series Forecasting Zirui Sun Mingwei Dai Yao Wang Shao-Bo Lin AI4TS 73 2 0 13 Nov 2021
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees Kean Ming Tan Heather Battey Wen-Xin Zhou 38 23 0 25 Oct 2021
Quantifying Epistemic Uncertainty in Deep Learning Ziyi Huang Henry Lam Haofeng Zhang UQCV BDL UD PER 105 14 0 23 Oct 2021
Data splitting improves statistical performance in overparametrized regimes Nicole Mücke Enrico Reiss Jonas Rungenhagen Markus Klein 55 8 0 21 Oct 2021
Sharp Analysis of Random Fourier Features in Classification Zhu Li 64 6 0 22 Sep 2021
StreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm Andreas Oslandsbotn Ž. Kereta Valeriya Naumova Y. Freund A. Cloninger 39 2 0 23 Aug 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree Zhao Song David P. Woodruff Zheng Yu Lichen Zhang 77 41 0 21 Aug 2021
Intrinsic Dimension Adaptive Partitioning for Kernel Methods Thomas Hamm Ingo Steinwart 28 3 0 16 Jul 2021
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression Jingyi Zhang Xiaoxiao Sun 46 0 0 13 Jul 2021
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions Luigi Carratino Stefano Vigogna Daniele Calandriello Lorenzo Rosasco 55 7 0 23 Jun 2021