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Jiaye Teng

11 papers · 2021–2025 · 4 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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+5 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (20) 🧭 Keyword Pioneer
πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (54) πŸ’Ž Century Club Β· Bronze ❓ The Questioner

Venues

ICLR (4) ICML (4) AISTATS (2) NeurIPS (1)

Top co-authors

Yang Yuan (6) Yang Gao (2) Jingzhao Zhang (2) Haowei He (2) Chuan Wen (2) Jing Xu (1) Tianyuan Yuan (1) Peiyuan Zhang (1) Zeren Tan (1) Yequan Wang (1)

Research topics

Machine Learning (11) Optimization & Theory (9) Core Methods (6) Artificial Intelligence (2) Core AI (2) Learning Types Β· Machine Learning (2) Deep Learning (1) Healthcare & Medicine (1) Application Areas (1) Clinical (1) Learning Types Β· Deep Learning (1)

Keywords

neural network (2) generalization bound (2) excess risk (2) stochastic gradient descent (2) domain generalization (1) transfer learning (1) shortcut learning (1) data augmentation (1) conformal prediction (1) multimodal learning (1) sample complexity (1) autonomous driving (1) deep learning (1) stability analysis (1) gradient descent (1) self-supervised learning (1) label noise (1) generalization error (1) signal-to-noise ratio (1) covariate shift (1)

Papers

Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization AISTATS 2025 Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift ICLR 2025 Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models ICLR 2023 Finding Generalization Measures by Contrasting Signal and Noise ICML 2023 On Uni-Modal Feature Learning in Supervised Multi-Modal Learning ICML 2023 Predictive Inference with Feature Conformal Prediction ICLR 2023 Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression NeurIPS 2023 Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis AISTATS 2022 Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming ICML 2022 Towards Understanding Generalization via Decomposing Excess Risk Dynamics ICLR 2022 T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP ICML 2021