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Jin-Hong Du

5 papers · 2023–2024 · 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

Venues

ICML (2) NeurIPS (2) JMLR (1)

Top co-authors

Pratik Patil (5) Arun K. Kuchibhotla (1) Ryan Tibshirani (1) Arun Kumar Kuchibhotla (1)

Research topics

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

Keywords

ridge regression (2) ridge regularization (2) prediction risk (2) covariate shift (1) neural representation (1) ensemble method (1) implicit regularization (1) linear model (1) operator norm (1) kernel methods (1) pretrained feature (1) out-of-distribution prediction (1) risk equivalence (1) ensemble ridge estimator (1) data aspect ratio (1) negative regularization (1) double descent (1) regression shift (1) ensemble learning (1) asymptotic analysis (1)

Papers

Implicit Regularization Paths of Weighted Neural Representations NeurIPS 2024 Optimal Ridge Regularization for Out-of-Distribution Prediction ICML 2024 Bagging in overparameterized learning: Risk characterization and risk monotonization JMLR 2023 Generalized equivalences between subsampling and ridge regularization NeurIPS 2023 Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation ICML 2023