Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier

7 June 2019

Papers citing "Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier"

50 / 62 papers shown

Title
Test-time Correlation Alignment Linjing You Jiabao Lu Xiayuan Huang OOD 164 0 0 01 May 2025
Transfer Learning for High-dimensional Reduced Rank Time Series Models Mingliang Ma Abolfazl Safikhani AI4TS 83 0 0 22 Apr 2025
Sparse Optimization for Transfer Learning: A L0-Regularized Framework for Multi-Source Domain Adaptation Chenqi Gong Hu Yang 47 0 0 07 Apr 2025
Locally Private Nonparametric Contextual Multi-armed Bandits Yuheng Ma Feiyu Jiang Zifeng Zhao Hanfang Yang Y. Yu 116 0 0 11 Mar 2025
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion Akhil Jalan Yassir Jedra Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 505 0 0 28 Feb 2025
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift Baozhen Wang Xingye Qiao 152 0 0 25 Feb 2025
Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data Yeheng Ge Xueyu Zhou Jian Huang 81 0 0 22 Feb 2025
Transfer learning via Regularized Linear Discriminant Analysis Hongzhe Zhang Arnab Auddy Hongzhe Lee 73 0 0 05 Jan 2025
Trans-Glasso: A Transfer Learning Approach to Precision Matrix Estimation Boxin Zhao Cong Ma Mladen Kolar 100 1 0 23 Nov 2024
Label Noise: Ignorance Is Bliss Yilun Zhu Jianxin Zhang Aditya Gangrade Clayton Scott NoLa 94 2 0 31 Oct 2024
Deep Transfer Learning: Model Framework and Error Analysis Yuling Jiao Huazhen Lin Yuchen Luo Jerry Zhijian Yang 114 1 0 12 Oct 2024
Learning with Shared Representations: Statistical Rates and Efficient Algorithms Xiaochun Niu Lili Su Jiaming Xu Pengkun Yang FedML 68 2 0 07 Sep 2024
Shape-restricted transfer learning analysis for generalized linear regression model Stefan Langer Tao Yu Andreas Nürnberger Jing Qin 58 0 0 31 Jul 2024
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints Arnab Auddy T. T. Cai Abhinav Chakraborty 95 1 0 28 Jun 2024
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights You-Wei Luo Chuan-Xian Ren OOD 73 3 0 24 Jun 2024
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 123 1 0 05 Jun 2024
An adaptive transfer learning perspective on classification in non-stationary environments Henry W J Reeve 86 0 0 28 May 2024
Transfer Learning Beyond Bounded Density Ratios Alkis Kalavasis Ilias Zadik Manolis Zampetakis 94 5 0 18 Mar 2024
Fusing Individualized Treatment Rules Using Secondary Outcomes Daiqi Gao Yuanjia Wang Donglin Zeng 48 0 0 13 Feb 2024
Transfer Learning for Functional Mean Estimation: Phase Transition and Adaptive Algorithms T. T. Cai Dongwoo Kim Hongming Pu 94 9 0 22 Jan 2024
Transfer Learning for Nonparametric Regression: Non-asymptotic Minimax Analysis and Adaptive Procedure T. T. Cai Hongming Pu 53 21 0 22 Jan 2024
Model-free Test Time Adaptation for Out-Of-Distribution Detection Yi-Fan Zhang Xue Wang Tian Zhou Kun Yuan Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan TTA OODD 80 4 0 28 Nov 2023
Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression Chao Wang Caixing Wang Xin He Xingdong Feng 47 2 0 21 Oct 2023
Structural transfer learning of non-Gaussian DAG Mingyang Ren Xin He Junhui Wang CML 43 0 0 16 Oct 2023
$Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$- and $\ell_0$-penalisation$ Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$ - and $\ell_0$ -penalisation Fan Wang Yi Yu 34 0 0 09 Oct 2023
Covariate shift in nonparametric regression with Markovian design Lukas Trottner 56 0 0 17 Jul 2023
Unified Transfer Learning Models in High-Dimensional Linear Regression S. Liu 81 5 0 01 Jul 2023
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift Hongxiang Qiu E. T. Tchetgen Yan Sun OOD 54 7 0 28 Jun 2023
Mixture Proportion Estimation Beyond Irreducibility Yilun Zhu A. Fjeldsted Darren C. Holland George V. Landon A. Lintereur Clayton Scott 36 5 0 02 Jun 2023
Classification Tree Pruning Under Covariate Shift Nicholas Galbraith Samory Kpotufe 78 1 0 07 May 2023
The ART of Transfer Learning: An Adaptive and Robust Pipeline Boxiang Wang Yunan "Charles" Wu Chenglong Ye MedIm OOD 61 1 0 30 Apr 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation Yi-Fan Zhang Xue Wang Kexin Jin Kun Yuan Zhang Zhang Liang Wang Rong Jin Tien-Ping Tan TTA OOD 93 44 0 25 Apr 2023
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift Kaizheng Wang 66 12 0 20 Feb 2023
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) Jimmy Hickey Jonathan P. Williams Emily C. Hector UQCV BDL 55 3 0 29 Nov 2022
Transfer Learning for Contextual Multi-armed Bandits Changxiao Cai T. Tony Cai Hongzhe Li 127 19 0 22 Nov 2022
Transfer learning for tensor Gaussian graphical models Mingyang Ren Yao Zhen Junhui Wang 75 1 0 17 Nov 2022
Signal-to-noise ratio aware minimaxity and higher-order asymptotics Y. Guo Haolei Weng A. Maleki 45 5 0 11 Nov 2022
Automatically Score Tissue Images Like a Pathologist by Transfer Learning Iris Yan MedIm 22 1 0 09 Sep 2022
Turning the information-sharing dial: efficient inference from different data sources Emily C. Hector Ryan Martin 59 6 0 18 Jul 2022
A Correlation-Ratio Transfer Learning and Variational Stein's Paradox Lu Lin Weiyu Li 54 3 0 10 Jun 2022
On Hypothesis Transfer Learning of Functional Linear Models Haotian Lin M. Reimherr 71 5 0 09 Jun 2022
Understanding new tasks through the lens of training data via exponential tilting Subha Maity Mikhail Yurochkin Moulinath Banerjee Yuekai Sun 104 10 0 26 May 2022
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis Xuetong Wu Biwei Huang J. Manton U. Aickelin Jingge Zhu CML 57 2 0 10 May 2022
Optimally tackling covariate shift in RKHS-based nonparametric regression Cong Ma Reese Pathak Martin J. Wainwright 61 45 0 06 May 2022
Enhanced Nearest Neighbor Classification for Crowdsourcing Jiexin Duan Xingye Qiao Guang Cheng 398 0 0 26 Feb 2022
A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality Xuhui Zhang Jose H. Blanchet Soumyadip Ghosh M. Squillante 65 9 0 23 Feb 2022
Adaptive and Robust Multi-Task Learning Yaqi Duan Kaizheng Wang 130 27 0 10 Feb 2022
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach Sai Li Tianxi Cai R. Duan 101 50 0 27 Aug 2021
Adaptive transfer learning Henry W. J. Reeve T. Cannings R. Samworth OOD 32 12 0 08 Jun 2021
Transfer Learning under High-dimensional Generalized Linear Models Ye Tian Yang Feng 93 126 0 29 May 2021