Yuanzhi Li — all works
- The Well Tempered Lasso ↗arXiv (Cornell University) · no summary yetYuanzhi Li, Yoram Singer2018 · 3 citations
- Competitively Chasing Convex Bodies ↗SIAM Journal on Computing · no summary yetSébastien Bubeck et al.2023 · 2 citations
- Learning Polynomial Transformations ↗arXiv (Cornell University) · no summary yetSitan Chen et al.2022 · 2 citations
- On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization ↗arXiv (Cornell University) · no summary yetZehao Dou, Yuanzhi Li2021 · 2 citations
- Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models ↗arXiv (Cornell University) · no summary yetSamy Jelassi et al.2026 · 1 citation
- Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs ↗arXiv (Cornell University) · no summary yetAakash Lahoti et al.2024 · 1 citation
- Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY ↗Journal of Optimization Theory and Applications · no summary yetEric Luxenberg et al.2024 · 1 citation
- On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics ↗arXiv (Cornell University) · no summary yetLi, Binghui, Yuanzhi Li2023 · 1 citation
- On the Importance of Contrastive Loss in Multimodal Learning ↗arXiv (Cornell University) · no summary yetYunwei Ren, Yuanzhi Li2023 · 1 citation
- Complete Policy Regret Bounds for Tallying Bandits ↗arXiv (Cornell University) · no summary yetDhruv Malik, Yuanzhi Li, Aarti Singh2022 · 1 citation
- Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods ↗arXiv (Cornell University) · no summary yetYuanzhi Li, Andrej Risteski2016 · 1 citation
- Systematic Data Structure Lower Bounds via the Query-With-Sketch Model ↗arXiv (Cornell University) · no summary yetSumegha Garg et al.2026
- SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding ↗arXiv (Cornell University) · no summary yetRenos Zabounidis et al.2026
- Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark ↗arXiv (Cornell University) · no summary yetSondos Mahmoud Bsharat et al.2025
- Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability ↗neural information processing systems · no summary yetKaiqi Jiang, Jeremy Cohen, Yuanzhi Li2025
- M³VIR: A Large-Scale Multi-Modality Multi-View Synthesized Benchmark Dataset for Image Restoration and Content Creation ↗arXiv (Cornell University) · no summary yetYuanzhi Li et al.2025
- Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data ↗arXiv (Cornell University) · no summary yetLi, Binghui, Yuanzhi Li2024
- Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts ↗arXiv (Cornell University) · no summary yetYoungseog Chung et al.2024
- How Does Overparameterization Affect Features? ↗arXiv (Cornell University) · no summary yetAhmet Cagri Duzgun, Samy Jelassi, Yuanzhi Li2024
- The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks ↗arXiv (Cornell University) · no summary yetYuan Cao et al.2023
- Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP ↗arXiv (Cornell University) · no summary yetZixiang Chen et al.2023
- Simple Mechanisms for Representing, Indexing and Manipulating Concepts ↗arXiv (Cornell University) · no summary yetYuanzhi Li et al.2023
- Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality ↗arXiv (Cornell University) · no summary yetDhruv Malik et al.2023
- Dissecting adaptive methods in GANs ↗arXiv (Cornell University) · no summary yetSamy Jelassi et al.2022
- An homotopy method for p regression provably beyond self-concordance and in input-sparsity time ↗arXiv (Cornell University) · no summary yetSébastien Bubeck et al.2017
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