Hongwei Wen

6 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

ICML (3) ICLR (2) JMLR (1)

Top co-authors

Hanyuan Hang (5) Annika Betken (2) Jingyi Cui (2) Yisen Wang (2) Zhouchen Lin (2) Jiabin Liu (1) Xiaoyu Liu (1)

Research topics

Machine Learning (6) Learning Types · Machine Learning (5) Core Methods (4) Application Areas (3) Optimization & Theory (2) Deep Learning (1) Mathematics & Optimization (1) Learning Types · Deep Learning (1) Optimization (1)

Keywords

domain adaptation (2) ensemble learning (2) transfer learning (1) anomaly detection (1) density estimation (1) weakly supervised learning (1) data augmentation (1) partial label learning (1) kernel logistic regression (1) large-scale regression (1) support vector machine (1) convergence rate (1) loss function (1) error bound (1) random forest (1) histogram transform (1) ensemble predictor (1) random affine mapping (1) risk consistency (1) kernel methods (1)

Papers

An Augmentation-Aware Theory for Self-Supervised Contrastive Learning ICML 2025 Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios ICLR 2025 Class Probability Matching with Calibrated Networks for Label Shift Adaption ICLR 2024 Random Forest Density Estimation ICML 2022 Histogram Transform Ensembles for Large-scale Regression JMLR 2021 Leveraged Weighted Loss for Partial Label Learning ICML 2021