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Yongkai Chen

3 papers · 2022–2026 · 2 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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๐ŸŒ Conference Polyglot ยท Bronze ๐ŸŒ‰ Interdisciplinary Bridge ยท Bronze ๐Ÿฃ Hot Topic Early Bird

Venues

JMLR (2) ICML (1)

Top co-authors

Ping Ma (3) Wenxuan Zhong (2) Luyang Fang (2) Xin Xing (1) Xinlian Zhang (1) Michael W. Mahoney (1) Jingyi Ma (1) Haoran Lu (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Application Areas (2) Core AI (2) Optimization & Theory (2) Mathematics & Optimization (1) Core Methods (1) Mathematics (1) Optimization (1)

Keywords

statistical inference (1) uncertainty quantification (1) knowledge distillation (1) asymptotic analysis (1) reproducing kernel hilbert space (1) posterior mode (1) kernel density estimation (1) mean squared error (1) numerical linear algebra (1) asymptotic normality (1) least square (1) sampling estimator (1) leverage sampling (1) smoothing spline (1) randomized numerical linear algebra (1) credible interval (1) optimal sampling probability (1) knowledge cascade (1) multivariate functional estimation (1) bayesian knowledge distillation (1)

Papers

Knowledge Cascade: Reverse Knowledge Distillation on Nonparametric Multivariate Functional Estimation JMLR 2026 Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification ICML 2024 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022