2025 "binary classification" Papers
10 papers found
A No Free Lunch Theorem for Human-AI Collaboration
Kenny Peng, Nikhil Garg, Jon Kleinberg
AAAI 2025paperarXiv:2411.15230
5
citations
Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning
Ximing Li, Yuanchao Dai, Bing Wang et al.
NEURIPS 2025poster
Efficient PAC Learning for Realizable-Statistic Models via Convex Surrogates
Shivani Agarwal
NEURIPS 2025poster
Estimating Model Performance Under Covariate Shift Without Labels
Jakub Białek, Juhani Kivimäki, Wojciech Kuberski et al.
NEURIPS 2025posterarXiv:2401.08348
6
citations
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
Binghui Li, Zhixuan Pan, Kaifeng Lyu et al.
ICLR 2025posterarXiv:2410.10322
On Agnostic PAC Learning in the Small Error Regime
Julian Asilis, Mikael Møller Høgsgaard, Grigoris Velegkas
NEURIPS 2025spotlightarXiv:2502.09496
Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling
Yufan Li, Pragya Sur
NEURIPS 2025spotlightarXiv:2502.15131
Provable weak-to-strong generalization via benign overfitting
David Wu, Anant Sahai
ICLR 2025posterarXiv:2410.04638
14
citations
QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
Qian Tang, Yuwen Gu, Boxiang Wang
NEURIPS 2025poster
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model
Kaito Takanami, Takashi Takahashi, Ayaka Sakata
NEURIPS 2025posterarXiv:2501.16226
2
citations