NEURIPS "binary classification" Papers

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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

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

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