"empirical risk minimization" Papers
10 papers found
On Agnostic PAC Learning in the Small Error Regime
Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas
NeurIPS 2025spotlightarXiv:2502.09496
SEBRA : Debiasing through Self-Guided Bias Ranking
Adarsh Kappiyath, Abhra Chaudhuri, AJAY JAISWAL et al.
ICLR 2025posterarXiv:2501.18277
2
citations
Adversarially Robust Hypothesis Transfer Learning
Yunjuan Wang, Raman Arora
ICML 2024poster
Collaborative Learning with Different Labeling Functions
yuyang deng, Mingda Qiao
ICML 2024poster
From Inverse Optimization to Feasibility to ERM
Saurabh Mishra, Anant Raj, Sharan Vaswani
ICML 2024poster
How to Escape Sharp Minima with Random Perturbations
Kwangjun Ahn, Ali Jadbabaie, Suvrit Sra
ICML 2024poster
Multi-Dimensional Fair Federated Learning
Cong Su, Guoxian Yu, Jun Wang et al.
AAAI 2024paperarXiv:2312.05551
9
citations
On the Asymptotic Distribution of the Minimum Empirical Risk
Jacob Westerhout, TrungTin Nguyen, Xin Guo et al.
ICML 2024poster
Optimal Differentially Private Model Training with Public Data
Andrew Lowy, Zeman Li, Tianjian Huang et al.
ICML 2024poster
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
Yulong Zhang, Yuan Yao, Shuhao Chen et al.
ICML 2024poster