Poster "excess risk bounds" Papers
12 papers found
Conference
Benign Overfitting in Out-of-Distribution Generalization of Linear Models
Shange Tang, Jiayun Wu, Jianqing Fan et al.
ICLR 2025arXiv:2412.14474
1
citations
Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
Dechen Zhang, Zhenmei Shi, Zhang et al.
NEURIPS 2025arXiv:2510.15363
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
Kaizheng Wang
NEURIPS 2025arXiv:2302.10160
15
citations
Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$
Bowei Zhu, Shaojie Li, Mingyang Yi et al.
NEURIPS 2025arXiv:2410.09766
1
citations
A Statistical Framework for Data-dependent Retrieval-Augmented Models
Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
ICML 2024arXiv:2408.15399
2
citations
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
Yvonne Zhou, Mingyu Liang, Ivan Brugere et al.
ICML 2024arXiv:2402.04375
3
citations
Differentially Private Worst-group Risk Minimization
Xinyu Zhou, Raef Bassily
ICML 2024arXiv:2402.19437
6
citations
Minimum-Norm Interpolation Under Covariate Shift
Neil Mallinar, Austin Zane, Spencer Frei et al.
ICML 2024arXiv:2404.00522
12
citations
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
Changyu Gao, Andrew Lowy, Xingyu Zhou et al.
ICML 2024arXiv:2407.09690
10
citations
RankSEG: A Consistent Ranking-based Framework for Segmentation
Ben Dai, Chunlin Li
ICML 2024arXiv:2206.13086
4
citations
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations
Xiaokang Pan, Xingyu Li, Jin Liu et al.
ICML 2024arXiv:2407.05286
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms
Ming Yang, Xiyuan Wei, Tianbao Yang et al.
ICML 2024arXiv:2307.03357
3
citations