He Lyu

3 papers · 2019–2024 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze

Venues

ICLR (1) IJCAI (1) NeurIPS (1)

Top co-authors

Rongrong Wang (2) Ming Yan (1) Ningyu Sha (1) Yibin Xu (1) Xikun Jiang (1) Avrajit Ghosh (1) Yuying Xie (1) Boris Düdder (1) Shuyang Qin (1) Chenhao Ying (1)

Research topics

Machine Learning (2) Deep Learning (1) Reinforcement Learning (1) Application Areas (1) Core Methods (1) Learning Types (1) Methods (1) Optimization & Theory · Deep Learning (1) Optimization & Theory · Machine Learning (1)

Keywords

stochastic gradient descent (1) manifold learning (1) low-rank approximation (1) manifold denoising (1) matrix completion (1) nonlinear manifold (1) sparse optimization (1) robust principal component analysis (1) data privacy (1) multi-armed bandit (1) upper confidence bound (1) implicit regularization (1) generalization performance (1) zero-knowledge proof (1) decision verification (1) heavy ball momentum (1) sparse component separation (1)

Papers

Privacy-Preserving UCB Decision Process Verification via zk-SNARKs IJCAI 2024 Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent ICLR 2023 Manifold denoising by Nonlinear Robust Principal Component Analysis NeurIPS 2019