Yuanzhi Li

Publications by Year

Research Areas

Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques, Machine Learning and Algorithms, Neural Networks and Applications, Topic Modeling

Most-Cited Works

• → LoRA: Low-Rank Adaptation of Large Language Models(2021)2,389 cited
• → A Convergence Theory for Deep Learning via Over-Parameterization(2018)627 cited
• → Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data(2018)319 cited
• → A Latent Variable Model Approach to PMI-based Word Embeddings(2016)289 cited
• → Convergence Analysis of Two-layer Neural Networks with ReLU Activation(2017)273 cited
• → A Theoretical Analysis of NDCG Type Ranking Measures(2013)254 cited
• → Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers(2018)172 cited