← Authors

Yang Yuan

29 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (7) 🌈 Renaissance Researcher (7) πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (15) πŸŒ‰ Interdisciplinary Bridge πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (124) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

ICML (10) NIPS (8) ICLR (4) ACL (2) COLT (1) ECCV (1) ICCV (1) JMLR (1) NSDI (1)

Top co-authors

Jiaye Teng (6) Yifan Zhang (5) Zhiquan Tan (4) Zeyuan Allen-Zhu (3) Jingqin Yang (3) Haowei He (3) Weiran Huang (2) Andrew C Yao (2) Yang Hua (2) Yuanzhi Li (2)

Keywords

stochastic gradient descent (7) non-convex optimization (3) empirical risk minimization (2) combinatorial multi-armed bandit (2) representation learning (2) mathematical reasoning (2) generalization bound (2) convergence analysis (2) saddle point (2) local minimum (2) regret bound (2) ucb algorithm (2) online learning (2) accelerated coordinate descent (2) compressed sensing (1) neural network training (1) adversarial robustness (1) learning theory (1) matrix decomposition (1) certified robustness (1)

Papers

Hierarchical Attention Generates Better Proofs ACL 2025
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts ACL 2025
Contrastive Learning is Spectral Clustering on Similarity Graph ICLR 2024
Information Flow in Self-Supervised Learning ICML 2024
Matrix Information Theory for Self-Supervised Learning ICML 2024
On the Power of Foundation Models ICML 2023
Predictive Inference with Feature Conformal Prediction ICLR 2023
Trade-off Between Efficiency and Consistency for Removal-based Explanations NIPS 2023
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression NIPS 2023
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning ICML 2023
Finding Generalization Measures by Contrasting Signal and Noise ICML 2023
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
Learning-Based Low-Rank Approximations NIPS 2019
Asymmetric Valleys: Beyond Sharp and Flat Local Minima NIPS 2019
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers NIPS 2019
Semi-Oblivious Traffic Engineering: The Road Not Taken NSDI 2018
Expanding Holographic Embeddings for Knowledge Completion NIPS 2018
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States ECCV 2018
Hyperparameter optimization: a spectral approach ICLR 2018
An Alternative View: When Does SGD Escape Local Minima? ICML 2018
Convergence Analysis of Two-layer Neural Networks with ReLU Activation NIPS 2017
Attribute-Enhanced Face Recognition With Neural Tensor Fusion Networks ICCV 2017
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling ICML 2016
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms JMLR 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NIPS 2016
Escaping From Saddle Points β€” Online Stochastic Gradient for Tensor Decomposition COLT 2015
Combinatorial Multi-Armed Bandit: General Framework and Applications ICML 2013