Transfer Learning on Edge Connecting Probability Estimation under Graphon Model
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yuyao, Cheng, Yu-Hung, Mukherjee, Debarghya, Cheng, Huimin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
by: Chen, Hanxiao, et al.
Published: (2026)
by: Chen, Hanxiao, et al.
Published: (2026)
Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)
by: McGrath, Sean, et al.
Published: (2025)
Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models
by: Lecoiu, Radu, et al.
Published: (2026)
by: Lecoiu, Radu, et al.
Published: (2026)
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024)
by: Ge, Jiawei, et al.
Published: (2024)
Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
by: Chen, Hanxiao, et al.
Published: (2026)
by: Chen, Hanxiao, et al.
Published: (2026)
On the estimation rate of Bayesian PINN for inverse problems
by: Sun, Yi, et al.
Published: (2024)
by: Sun, Yi, et al.
Published: (2024)
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning
by: Cheng, Ziheng, et al.
Published: (2025)
by: Cheng, Ziheng, et al.
Published: (2025)
Robust Transfer Learning with Unreliable Source Data
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Centrality Estimators for Probability Density Functions
by: Ziou, Djemel
Published: (2024)
by: Ziou, Djemel
Published: (2024)
Phase Transition in Nonparametric Minimax Rates for Covariate Shifts on Approximate Manifolds
by: Wang, Yuyao, et al.
Published: (2025)
by: Wang, Yuyao, et al.
Published: (2025)
Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
by: Wang, Xiaohan, et al.
Published: (2025)
by: Wang, Xiaohan, et al.
Published: (2025)
CINDES: Classification induced neural density estimator and simulator
by: Dai, Dehao, et al.
Published: (2025)
by: Dai, Dehao, et al.
Published: (2025)
Minimax Optimal rates of convergence in the shuffled regression, unlinked regression, and deconvolution under vanishing noise
by: Durot, Cecile, et al.
Published: (2024)
by: Durot, Cecile, et al.
Published: (2024)
Sample Complexity of Probability Divergences under Group Symmetry
by: Chen, Ziyu, et al.
Published: (2023)
by: Chen, Ziyu, et al.
Published: (2023)
Minimax Optimal Probability Matrix Estimation For Graphon With Spectral Decay
by: Chen, Yuchen, et al.
Published: (2024)
by: Chen, Yuchen, et al.
Published: (2024)
Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
by: Zhang, Tianni, et al.
Published: (2026)
by: Zhang, Tianni, et al.
Published: (2026)
Learning under Latent Group Sparsity via Diffusion on Networks
by: Ghosh, Subhroshekhar, et al.
Published: (2025)
by: Ghosh, Subhroshekhar, et al.
Published: (2025)
Transfer Learning for Causal Effect Estimation
by: Wei, Song, et al.
Published: (2023)
by: Wei, Song, et al.
Published: (2023)
Computational Lower Bounds for Graphon Estimation via Low-degree Polynomials
by: Luo, Yuetian, et al.
Published: (2023)
by: Luo, Yuetian, et al.
Published: (2023)
Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators
by: Wang, Longlin, et al.
Published: (2025)
by: Wang, Longlin, et al.
Published: (2025)
Trade-off Between Dependence and Complexity for Nonparametric Learning -- an Empirical Process Approach
by: Deb, Nabarun, et al.
Published: (2024)
by: Deb, Nabarun, et al.
Published: (2024)
High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch
by: Liautaud, Paul, et al.
Published: (2026)
by: Liautaud, Paul, et al.
Published: (2026)
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
by: Suh, Namjoon, et al.
Published: (2024)
by: Suh, Namjoon, et al.
Published: (2024)
Optimal Confidence Band for Kernel Gradient Flow Estimator
by: Cheng, Yuqian, et al.
Published: (2026)
by: Cheng, Yuqian, et al.
Published: (2026)
Interaction Screening and Pseudolikelihood Approaches for Tensor Learning in Ising Models
by: Liu, Tianyu, et al.
Published: (2023)
by: Liu, Tianyu, et al.
Published: (2023)
Transfer Learning for Nonparametric Contextual Dynamic Pricing
by: Wang, Fan, et al.
Published: (2025)
by: Wang, Fan, et al.
Published: (2025)
Minimax Optimality of the Probability Flow ODE for Diffusion Models
by: Cai, Changxiao, et al.
Published: (2025)
by: Cai, Changxiao, et al.
Published: (2025)
Learning manifold diffusion semigroups from graph transition matrices
by: Cheng, Xiuyuan, et al.
Published: (2026)
by: Cheng, Xiuyuan, et al.
Published: (2026)
Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel
by: Chai, Jinhang, et al.
Published: (2024)
by: Chai, Jinhang, et al.
Published: (2024)
Wasserstein Transfer Learning
by: Zhang, Kaicheng, et al.
Published: (2025)
by: Zhang, Kaicheng, et al.
Published: (2025)
Robust Estimation under the Wasserstein Distance
by: Nietert, Sloan, et al.
Published: (2023)
by: Nietert, Sloan, et al.
Published: (2023)
Robust Mean Estimation under Quantization
by: Abdalla, Pedro, et al.
Published: (2026)
by: Abdalla, Pedro, et al.
Published: (2026)
Distribution Estimation under the Infinity Norm
by: Kontorovich, Aryeh, et al.
Published: (2024)
by: Kontorovich, Aryeh, et al.
Published: (2024)
Property Elicitation on Imprecise Probabilities
by: Bailie, James, et al.
Published: (2025)
by: Bailie, James, et al.
Published: (2025)
Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
by: McGrath, Sean, et al.
Published: (2022)
by: McGrath, Sean, et al.
Published: (2022)
Transfer Learning Under High-Dimensional Network Convolutional Regression Model
by: Wang, Liyuan, et al.
Published: (2025)
by: Wang, Liyuan, et al.
Published: (2025)
Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models
by: Suzuki, Atsushi, et al.
Published: (2024)
by: Suzuki, Atsushi, et al.
Published: (2024)
Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
Learning conditional distributions on continuous spaces
by: Bénézet, Cyril, et al.
Published: (2024)
by: Bénézet, Cyril, et al.
Published: (2024)
Similar Items
-
Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
by: Chen, Hanxiao, et al.
Published: (2026) -
Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025) -
Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models
by: Lecoiu, Radu, et al.
Published: (2026) -
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
by: Ge, Jiawei, et al.
Published: (2024) -
Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
by: Chen, Hanxiao, et al.
Published: (2026)