Yuanzhi Li - RankMe

226 papers A* 79A 1B 1Journal 131Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Match Prototype for Few-Shot Classification of Attacks and Faults in Smart Grids. IEEE Trans. Cybern. Kaiyao Miao, Meng Zhang, Kai Chen, Yuanzhi Li, Xiong Zhan, Xiaohong Guan
2026	J	`jnl`	Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models. CoRR Samy Jelassi, Mujin Kwun, Rosie Zhao, Yuanzhi Li, Nicolò Fusi, Yilun Du, Sham M. Kakade, Carles Domingo-Enrich
2026	J	`jnl`	Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark. J. Data-centric Mach. Learn. Res. Sondos Mahmoud Bsharat, Mukul Ranjan, Aidar Myrzakhan, Jiacheng Liu, Bowei Guo, Shengkun Tang, Zhuang Liu, Yuanzhi Li, Zhiqiang Shen
2026	J	`jnl`	SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding. CoRR Renos Zabounidis, Yue Wu, Simon Stepputtis, Woojun Kim, Yuanzhi Li, Tom Mitchell, Katia Sycara
2025	J	`jnl`	A novel method for leakage monitoring in Network-Level urban medium- and Low-Pressure natural gas pipelines combining information theory and Light Gradient Boosting. Adv. Eng. Informatics Zhengrun Huang, Xinming Qian, Pengliang Li, Xingyu Shen, Longfei Hou, Yuanzhi Li, Mengqi Yuan
2025	A*	`conf`	Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data. ICLR Binghui Li, Yuanzhi Li
2025	J	`jnl`	Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts. Trans. Mach. Learn. Res. Youngseog Chung, Dhruv Malik, Jeff Schneider, Yuanzhi Li, Aarti Singh
2025	J	`jnl`	LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch. CoRR Zhengzhong Liu, Bowen Tan, Hongyi Wang, Willie Neiswanger, Tianhua Tao, Haonan Li, Fajri Koto, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Liqun Ma, Liping Tang, Nikhil Ranjan, Yonghao Zhuang, Guowei He, Renxi Wang, Mingkai Deng, Robin Algayres, Yuanzhi Li, Zhiqiang Shen, Preslav Nakov, Eric P. Xing
2025	—	`conf`	LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks. COLING (Industry) Akshara Prabhakar, Yuanzhi Li, Karthik Narasimhan, Sham M. Kakade, Eran Malach, Samy Jelassi
2025	J	`jnl`	M CoRR Yuanzhi Li, Lebin Zhou, Nam Ling, Zhenghao Chen, Wei Wang, Wei Jiang
2025	A*	`conf`	Mixture of Parrots: Experts improve memorization more than reasoning. ICLR Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham M. Kakade, Eran Malach
2025	J	`jnl`	Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark. CoRR Sondos Mahmoud Bsharat, Mukul Ranjan, Aidar Myrzakhan, Jiacheng Liu, Bowei Guo, Shengkun Tang, Zhuang Liu, Yuanzhi Li, Zhiqiang Shen
2025	A*	`conf`	On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics. ICML Binghui Li, Yuanzhi Li
2025	J	`jnl`	Physics of Language Models: Part 1, Learning Hierarchical Language Structures. Trans. Mach. Learn. Res. Zeyuan Allen-Zhu, Yuanzhi Li
2025	A*	`conf`	Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process. ICLR Tian Ye, Zicheng Xu, Yuanzhi Li, Zeyuan Allen-Zhu
2025	A*	`conf`	Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems. ICLR Tian Ye, Zicheng Xu, Yuanzhi Li, Zeyuan Allen-Zhu
2025	A*	`conf`	Physics of Language Models: Part 3.2, Knowledge Manipulation. ICLR Zeyuan Allen-Zhu, Yuanzhi Li
2025	A*	`conf`	Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws. ICLR Zeyuan Allen-Zhu, Yuanzhi Li
2025	A*	`conf`	Provably Learning a Multi-head Attention Layer. STOC Sitan Chen, Yuanzhi Li
2025	J	`jnl`	Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability. CoRR Kaiqi Jiang, Jeremy Cohen, Yuanzhi Li
2024	J	`jnl`	Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data. CoRR Binghui Li, Yuanzhi Li
2024	J	`jnl`	AgentKit: Flow Engineering with Graphs, not Coding. CoRR Yue Wu, Yewen Fan, So Yeon Min, Shrimai Prabhumoye, Stephen McAleer, Yonatan Bisk, Ruslan Salakhutdinov, Yuanzhi Li, Tom M. Mitchell
2024	—	`conf`	Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts. ENLSP Youngseog Chung, Dhruv Malik, Jeff Schneider, Yuanzhi Li, Aarti Singh
2024	J	`jnl`	Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts. CoRR Youngseog Chung, Dhruv Malik, Jeff G. Schneider, Yuanzhi Li, Aarti Singh
2024	J	`jnl`	How Does Overparameterization Affect Features? CoRR Ahmet Cagri Duzgun, Samy Jelassi, Yuanzhi Li
2024	J	`jnl`	LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks. CoRR Akshara Prabhakar, Yuanzhi Li, Karthik Narasimhan, Sham M. Kakade, Eran Malach, Samy Jelassi
2024	J	`jnl`	Lower Bounds in the Query-with-Sketch Model and a Barrier in Derandomizing BPL. Electron. Colloquium Comput. Complex. Songhua He, Yuanzhi Li, Periklis A. Papakonstantinou, Xin Yang
2024	J	`jnl`	Mixture of Parrots: Experts improve memorization more than reasoning. CoRR Samy Jelassi, Clara Mohri, David Brandfonbrener, Alex Gu, Nikhil Vyas, Nikhil Anand, David Alvarez-Melis, Yuanzhi Li, Sham M. Kakade, Eran Malach
2024	J	`jnl`	O1 Replication Journey: A Strategic Progress Report - Part 1. CoRR Yiwei Qin, Xuefeng Li, Haoyang Zou, Yixiu Liu, Shijie Xia, Zhen Huang, Yixin Ye, Weizhe Yuan, Hector Liu, Yuanzhi Li, Pengfei Liu
2024	J	`jnl`	Phi-4 Technical Report. CoRR Marah I Abdin, Jyoti Aneja, Harkirat S. Behl, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar, Michael Harrison, Russell J. Hewett, Mojan Javaheripi, Piero Kauffmann, James R. Lee, Yin Tat Lee, Yuanzhi Li, Weishung Liu, Caio C. T. Mendes, Anh Nguyen, Eric Price, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Xin Wang, Rachel Ward, Yue Wu, Dingli Yu, Cyril Zhang, Yi Zhang
2024	J	`jnl`	Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process. CoRR Tian Ye, Zicheng Xu, Yuanzhi Li, Zeyuan Allen-Zhu
2024	J	`jnl`	Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems. CoRR Tian Ye, Zicheng Xu, Yuanzhi Li, Zeyuan Allen-Zhu
2024	A*	`conf`	Physics of Language Models: Part 3.1, Knowledge Storage and Extraction. ICML Zeyuan Allen-Zhu, Yuanzhi Li
2024	J	`jnl`	Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws. CoRR Zeyuan Allen-Zhu, Yuanzhi Li
2024	J	`jnl`	Provably learning a multi-head attention layer. CoRR Sitan Chen, Yuanzhi Li
2024	A*	`conf`	Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning. AAAI Ruiqian Nai, Zixin Wen, Ji Li, Yuanzhi Li, Yang Gao
2024	J	`jnl`	Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning. CoRR Ruiqian Nai, Zixin Wen, Ji Li, Yuanzhi Li, Yang Gao
2024	A*	`conf`	Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs. ICLR Aakash Lahoti, Stefani Karp, Ezra Winston, Aarti Singh, Yuanzhi Li
2024	J	`jnl`	Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs. CoRR Aakash Lahoti, Stefani Karp, Ezra Winston, Aarti Singh, Yuanzhi Li
2024	A*	`conf`	SmartPlay : A Benchmark for LLMs as Intelligent Agents. ICLR Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li
2024	J	`jnl`	Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY. J. Optim. Theory Appl. Eric Luxenberg, Dhruv Malik, Yuanzhi Li, Aarti Singh, Stephen P. Boyd
2024	A*	`conf`	Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. ICLR Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
2024	J	`jnl`	VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding? CoRR Junpeng Liu, Yifan Song, Bill Yuchen Lin, Wai Lam, Graham Neubig, Yuanzhi Li, Xiang Yue
2023	A*	`conf`	Backward Feature Correction: How Deep Learning Performs Deep (Hierarchical) Learning. COLT Zeyuan Allen-Zhu, Yuanzhi Li
2023	J	`jnl`	Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Christopher M. White, Eric Horvitz
2023	J	`jnl`	Can We Trust the Phone Vendors? Comprehensive Security Measurements on the Android Firmware Ecosystem. IEEE Trans. Software Eng. Qinsheng Hou, Wenrui Diao, Yanhao Wang, Chenglin Mao, Lingyun Ying, Song Liu, Xiaofeng Liu, Yuanzhi Li, Shanqing Guo, Meining Nie, Haixin Duan
2023	J	`jnl`	Detection of Gas Pipeline Leakage Using Distributed Optical Fiber Sensors: Multi-Physics Analysis of Leakage-Fiber Coupling Mechanism in Soil Environment. Sensors Shuyu Zhang, Shangran Xie, Yuanzhi Li, Mengqi Yuan, Xinming Qian
2023	J	`jnl`	Efficient RLHF: Reducing the Memory Usage of PPO. CoRR Michael Santacroce, Yadong Lu, Han Yu, Yuanzhi Li, Yelong Shen
2023	A*	`conf`	Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions. ICLR Zeyuan Allen-Zhu, Yuanzhi Li
2023	A*	`conf`	How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding. ICML Yuchen Li, Yuanzhi Li, Andrej Risteski
2023	J	`jnl`	How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding. CoRR Yuchen Li, Yuanzhi Li, Andrej Risteski
2023	A*	`conf`	How Does Adaptive Optimization Impact Local Neural Network Geometry? NeurIPS Kaiqi Jiang, Dhruv Malik, Yuanzhi Li
2023	A*	`conf`	Learning Polynomial Transformations via Generalized Tensor Decompositions. STOC Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang
2023	J	`jnl`	Length Generalization in Arithmetic Transformers. CoRR Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, Yuhuai Wu, Yuanzhi Li, François Charton
2023	J	`jnl`	On the Importance of Contrastive Loss in Multimodal Learning. CoRR Yunwei Ren, Yuanzhi Li
2023	J	`jnl`	Physics of Language Models: Part 1, Context-Free Grammar. CoRR Zeyuan Allen-Zhu, Yuanzhi Li
2023	J	`jnl`	Physics of Language Models: Part 3.1, Knowledge Storage and Extraction. CoRR Zeyuan Allen Zhu, Yuanzhi Li
2023	J	`jnl`	Physics of Language Models: Part 3.2, Knowledge Manipulation. CoRR Zeyuan Allen-Zhu, Yuanzhi Li
2023	J	`jnl`	Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents. CoRR Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom M. Mitchell, Shrimai Prabhumoye
2023	J	`jnl`	Positional Description Matters for Transformers Arithmetic. CoRR Ruoqi Shen, Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Yuanzhi Li, Yi Zhang
2023	A*	`conf`	Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. NeurIPS Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell
2023	J	`jnl`	Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals. CoRR Yue Wu, Yewen Fan, Paul Pu Liang, Amos Azaria, Yuanzhi Li, Tom M. Mitchell
2023	J	`jnl`	SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning. CoRR Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li
2023	A*	`conf`	SPRING: Studying Papers and Reasoning to play Games. NeurIPS Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li
2023	A*	`conf`	Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions. ICLR Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru Zhang
2023	J	`jnl`	Simple Mechanisms for Representing, Indexing and Manipulating Concepts. CoRR Yuanzhi Li, Raghu Meka, Rina Panigrahy, Kulin Shah
2023	J	`jnl`	SmartPlay : A Benchmark for LLMs as Intelligent Agents. CoRR Yue Wu, Xuan Tang, Tom M. Mitchell, Yuanzhi Li
2023	J	`jnl`	Sparks of Artificial General Intelligence: Early experiments with GPT-4. CoRR Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott M. Lundberg, Harsha Nori, Hamid Palangi, Marco Túlio Ribeiro, Yi Zhang
2023	J	`jnl`	Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY. CoRR Eric Luxenberg, Dhruv Malik, Yuanzhi Li, Aarti Singh, Stephen P. Boyd
2023	J	`jnl`	Textbooks Are All You Need II: phi-1.5 technical report. CoRR Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, Allie Del Giorno, Suriya Gunasekar, Yin Tat Lee
2023	J	`jnl`	Textbooks Are All You Need. CoRR Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Harkirat Singh Behl, Xin Wang, Sébastien Bubeck, Ronen Eldan, Adam Tauman Kalai, Yin Tat Lee, Yuanzhi Li
2023	A*	`conf`	The Benefits of Mixup for Feature Learning. ICML Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu
2023	J	`jnl`	The Benefits of Mixup for Feature Learning. CoRR Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu
2023	A*	`conf`	The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks. COLT Yuan Cao, Difan Zou, Yuanzhi Li, Quanquan Gu
2023	J	`jnl`	The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks. CoRR Yuan Cao, Difan Zou, Yuanzhi Li, Quanquan Gu
2023	A*	`conf`	The probability flow ODE is provably fast. NeurIPS Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim
2023	J	`jnl`	The probability flow ODE is provably fast. CoRR Sitan Chen, Sinho Chewi, Holden Lee, Yuanzhi Li, Jianfeng Lu, Adil Salim
2023	J	`jnl`	TinyGSM: achieving >80% on GSM8k with small language models. CoRR Bingbin Liu, Sébastien Bubeck, Ronen Eldan, Janardhan Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang
2023	J	`jnl`	TinyStories: How Small Can Language Models Be and Still Speak Coherent English? CoRR Ronen Eldan, Yuanzhi Li
2023	J	`jnl`	Toward Understanding Why Adam Converges Faster Than SGD for Transformers. CoRR Yan Pan, Yuanzhi Li
2023	A*	`conf`	Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning. ICLR Zeyuan Allen-Zhu, Yuanzhi Li
2023	J	`jnl`	Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP. CoRR Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
2023	A*	`conf`	Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization. ICLR Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu
2023	A*	`conf`	Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality. ICML Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh
2023	J	`jnl`	Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality. CoRR Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh
2023	J	`jnl`	What Matters In The Structured Pruning of Generative Language Models? CoRR Michael Santacroce, Zixin Wen, Yelong Shen, Yuanzhi Li
2023	J	`jnl`	Why Clean Generalization and Robust Overfitting Both Happen in Adversarial Training. CoRR Binghui Li, Yuanzhi Li
2022	A*	`conf`	Complete Policy Regret Bounds for Tallying Bandits. COLT Dhruv Malik, Yuanzhi Li, Aarti Singh
2022	J	`jnl`	Complete Policy Regret Bounds for Tallying Bandits. CoRR Dhruv Malik, Yuanzhi Li, Aarti Singh
2022	J	`jnl`	Dissecting adaptive methods in GANs. CoRR Samy Jelassi, David Dobre, Arthur Mensch, Yuanzhi Li, Gauthier Gidel
2022	J	`jnl`	How Does Adaptive Optimization Impact Local Neural Network Geometry? CoRR Kaiqi Jiang, Dhruv Malik, Yuanzhi Li
2022	A*	`conf`	Large-scale Security Measurements on the Android Firmware Ecosystem. ICSE Qinsheng Hou, Wenrui Diao, Yanhao Wang, Xiaofeng Liu, Song Liu, Lingyun Ying, Shanqing Guo, Yuanzhi Li, Meining Nie, Haixin Duan
2022	A*	`conf`	Learning (Very) Simple Generative Models Is Hard. NeurIPS Sitan Chen, Jerry Li, Yuanzhi Li
2022	J	`jnl`	Learning (Very) Simple Generative Models Is Hard. CoRR Sitan Chen, Jerry Li, Yuanzhi Li
2022	J	`jnl`	Learning Polynomial Transformations. CoRR Sitan Chen, Jerry Li, Yuanzhi Li, Anru R. Zhang
2022	A*	`conf`	LoRA: Low-Rank Adaptation of Large Language Models. ICLR Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen
2022	A*	`conf`	Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs. ICLR Sitan Chen, Jerry Li, Yuanzhi Li, Raghu Meka
2022	J	`jnl`	Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs. CoRR Sitan Chen, Jerry Li, Yuanzhi Li, Raghu Meka
2022	J	`jnl`	Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions. CoRR Sitan Chen, Sinho Chewi, Jerry Li, Yuanzhi Li, Adil Salim, Anru R. Zhang
2022	A*	`conf`	The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning. NeurIPS Zixin Wen, Yuanzhi Li
2022	J	`jnl`	The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning. CoRR Zixin Wen, Yuanzhi Li
2022	J	`jnl`	Towards Understanding Mixture of Experts in Deep Learning. CoRR Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
2022	A*	`conf`	Towards Understanding the Mixture-of-Experts Layer in Deep Learning. NeurIPS Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li
2022	A*	`conf`	Towards understanding how momentum improves generalization in deep learning. ICML Samy Jelassi, Yuanzhi Li
2022	J	`jnl`	Towards understanding how momentum improves generalization in deep learning. CoRR Samy Jelassi, Yuanzhi Li
2022	A*	`conf`	Vision Transformers provably learn spatial structure. NeurIPS Samy Jelassi, Michael E. Sander, Yuanzhi Li
2022	J	`jnl`	Vision Transformers provably learn spatial structure. CoRR Samy Jelassi, Michael E. Sander, Yuanzhi Li
2021	—	`conf`	A Highly Efficient Profiled Power Analysis Attack Based on Power Leakage Fitting. HPCC/DSS/SmartCity/DependSys Yuanzhi Li, Shanshan Xu, Yuling Luo, Sheng Qin, Shunsheng Zhang, Min Su
2021	A*	`conf`	A Law of Robustness for Two-Layers Neural Networks. COLT Sébastien Bubeck, Yuanzhi Li, Dheeraj M. Nagaraj
2021	A	`conf`	A heuristic for statistical seriation. UAI Komal Dhull, Jingyan Wang, Nihar B. Shah, Yuanzhi Li, R. Ravi
2021	A*	`conf`	Feature Purification: How Adversarial Training Performs Robust Deep Learning. FOCS Zeyuan Allen-Zhu, Yuanzhi Li
2021	J	`jnl`	Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions. CoRR Zeyuan Allen-Zhu, Yuanzhi Li
2021	A*	`conf`	Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. ICLR Jeremy Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar
2021	J	`jnl`	Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability. CoRR Jeremy Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar
2021	J	`jnl`	LoRA: Low-Rank Adaptation of Large Language Models. CoRR Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Weizhu Chen
2021	A*	`conf`	Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels. NeurIPS Stefani Karp, Ezra Winston, Yuanzhi Li, Aarti Singh
2021	—	`conf`	Mixed Deep Reinforcement Learning-behavior Tree for Intelligent Agents Design. ICAART (1) Lei Li, Lei Wang, Yuanzhi Li, Jie Sheng
2021	J	`jnl`	Near-optimal discrete optimization for experimental design: a regret minimization approach. Math. Program. Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang
2021	J	`jnl`	On the One-sided Convergence of Adam-type Algorithms in Non-convex Non-concave Min-max Optimization. CoRR Zehao Dou, Yuanzhi Li
2021	A*	`conf`	PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections. OSDI Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang, Liyan Zheng, Yuanzhi Li, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia
2021	A*	`conf`	Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity. ICML Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li
2021	J	`jnl`	Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity. CoRR Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li
2021	A*	`conf`	Settling the Horizon-Dependence of Sample Complexity in Reinforcement Learning. FOCS Yuanzhi Li, Ruosong Wang, Lin F. Yang
2021	J	`jnl`	Settling the Horizon-Dependence of Sample Complexity in Reinforcement Learning. CoRR Yuanzhi Li, Ruosong Wang, Lin F. Yang
2021	A*	`conf`	Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning. ICML Zixin Wen, Yuanzhi Li
2021	J	`jnl`	Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning. CoRR Zixin Wen, Yuanzhi Li
2021	J	`jnl`	Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization. CoRR Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu
2021	A*	`conf`	When Is Generalizable Reinforcement Learning Tractable? NeurIPS Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar
2021	J	`jnl`	When Is Generalizable Reinforcement Learning Tractable? CoRR Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar
2020	J	`jnl`	A law of robustness for two-layers neural networks. CoRR Sébastien Bubeck, Yuanzhi Li, Dheeraj Nagaraj
2020	J	`jnl`	Backward Feature Correction: How Deep Learning Performs Deep Learning. CoRR Zeyuan Allen-Zhu, Yuanzhi Li
2020	A*	`conf`	Chasing Nested Convex Bodies Nearly Optimally. SODA Sébastien Bubeck, Bo'az Klartag, Yin Tat Lee, Yuanzhi Li, Mark Sellke
2020	J	`jnl`	Feature Purification: How Adversarial Training Performs Robust Deep Learning. CoRR Zeyuan Allen-Zhu, Yuanzhi Li
2020	A*	`conf`	Learning Over-Parametrized Two-Layer Neural Networks beyond NTK. COLT Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang
2020	J	`jnl`	Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK. CoRR Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang
2020	A*	`conf`	Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without. COLT Sébastien Bubeck, Yuanzhi Li, Yuval Peres, Mark Sellke
2020	J	`jnl`	Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning. CoRR Zeyuan Allen-Zhu, Yuanzhi Li
2020	J	`jnl`	When can Wasserstein GANs minimize Wasserstein Distance? CoRR Yuanzhi Li, Zehao Dou
2019	A*	`conf`	A Convergence Theory for Deep Learning via Over-Parameterization. ICML Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
2019	—	`conf`	Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees. ICLR (Poster) Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma
2019	A*	`conf`	Can SGD Learn Recurrent Neural Networks with Provable Generalization? NeurIPS Zeyuan Allen-Zhu, Yuanzhi Li
2019	J	`jnl`	Can SGD Learn Recurrent Neural Networks with Provable Generalization? CoRR Zeyuan Allen-Zhu, Yuanzhi Li
2019	J	`jnl`	Competitively Chasing Convex Bodies. SIAM J. Comput. Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li, Mark Sellke
2019	A*	`conf`	Competitively chasing convex bodies. STOC Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li, Mark Sellke
2019	A*	`conf`	Complexity of Highly Parallel Non-Smooth Convex Optimization. NeurIPS Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford
2019	J	`jnl`	Complexity of Highly Parallel Non-Smooth Convex Optimization. CoRR Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford
2019	A*	`conf`	Improved Path-length Regret Bounds for Bandits. COLT Sébastien Bubeck, Yuanzhi Li, Haipeng Luo, Chen-Yu Wei
2019	J	`jnl`	Improved Path-length Regret Bounds for Bandits. CoRR Sébastien Bubeck, Yuanzhi Li, Haipeng Luo, Chen-Yu Wei
2019	A*	`conf`	Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. NeurIPS Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
2019	A*	`conf`	Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. COLT Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford
2019	A*	`conf`	Near-optimal method for highly smooth convex optimization. COLT Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford
2019	J	`jnl`	Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without. CoRR Sébastien Bubeck, Yuanzhi Li, Yuval Peres, Mark Sellke
2019	A*	`conf`	On the Convergence Rate of Training Recurrent Neural Networks. NeurIPS Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
2019	A*	`conf`	Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks. NeurIPS Yuanzhi Li, Colin Wei, Tengyu Ma
2019	J	`jnl`	Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks. CoRR Yuanzhi Li, Colin Wei, Tengyu Ma
2019	A*	`conf`	What Can ResNet Learn Efficiently, Going Beyond Kernels? NeurIPS Zeyuan Allen-Zhu, Yuanzhi Li
2019	J	`jnl`	What Can ResNet Learn Efficiently, Going Beyond Kernels? CoRR Zeyuan Allen-Zhu, Yuanzhi Li
2018	J	`jnl`	A Convergence Theory for Deep Learning via Over-Parameterization. CoRR Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
2018	A*	`conf`	A Nearly Instance Optimal Algorithm for Top- SODA Xi Chen, Yuanzhi Li, Jieming Mao
2018	J	`jnl`	Algorithmic Framework for Model-based Reinforcement Learning with Theoretical Guarantees. CoRR Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma
2018	A*	`conf`	Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations. COLT Yuanzhi Li, Tengyu Ma, Hongyang Zhang
2018	A*	`conf`	An Alternative View: When Does SGD Escape Local Minima? ICML Robert Kleinberg, Yuanzhi Li, Yang Yuan
2018	J	`jnl`	An Alternative View: When Does SGD Escape Local Minima? CoRR Robert Kleinberg, Yuanzhi Li, Yang Yuan
2018	A*	`conf`	An homotopy method for l STOC Sébastien Bubeck, Michael B. Cohen, Yin Tat Lee, Yuanzhi Li
2018	J	`jnl`	Chasing Nested Convex Bodies Nearly Optimally. CoRR Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li, Mark Sellke
2018	J	`jnl`	Competitively Chasing Convex Bodies. CoRR Sébastien Bubeck, Yin Tat Lee, Yuanzhi Li, Mark Sellke
2018	J	`jnl`	Geodesic cycles in random graphs. Discret. Math. Yuanzhi Li, Lingsheng Shi
2018	A*	`conf`	Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. COLT Yuanzhi Li, Yingyu Liang
2018	J	`jnl`	Learning Mixtures of Linear Regressions with Nearly Optimal Complexity. CoRR Yuanzhi Li, Yingyu Liang
2018	A*	`conf`	Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. NeurIPS Yuanzhi Li, Yingyu Liang
2018	J	`jnl`	Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data. CoRR Yuanzhi Li, Yingyu Liang
2018	J	`jnl`	Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. CoRR Zeyuan Allen-Zhu, Yuanzhi Li, Yingyu Liang
2018	J	`jnl`	Linear Algebraic Structure of Word Senses, with Applications to Polysemy. Trans. Assoc. Comput. Linguistics Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski
2018	A*	`conf`	Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits. ICML Zeyuan Allen-Zhu, Sébastien Bubeck, Yuanzhi Li
2018	J	`jnl`	Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits. CoRR Zeyuan Allen-Zhu, Sébastien Bubeck, Yuanzhi Li
2018	A*	`conf`	NEON2: Finding Local Minima via First-Order Oracles. NeurIPS Zeyuan Allen-Zhu, Yuanzhi Li
2018	J	`jnl`	On the Convergence Rate of Training Recurrent Neural Networks. CoRR Zeyuan Allen-Zhu, Yuanzhi Li, Zhao Song
2018	—	`—`	On the ability of gradient descent to learn neural networks Yuanzhi Li
2018	A*	`conf`	Online Improper Learning with an Approximation Oracle. NeurIPS Elad Hazan, Wei Hu, Yuanzhi Li, Zhiyuan Li
2018	J	`jnl`	Online Improper Learning with an Approximation Oracle. CoRR Elad Hazan, Wei Hu, Yuanzhi Li, Zhiyuan Li
2018	J	`jnl`	Operator Scaling via Geodesically Convex Optimization, Invariant Theory and Polynomial Identity Testing. CoRR Zeyuan Allen-Zhu, Ankit Garg, Yuanzhi Li, Rafael Mendes de Oliveira, Avi Wigderson
2018	A*	`conf`	Operator scaling via geodesically convex optimization, invariant theory and polynomial identity testing. STOC Zeyuan Allen-Zhu, Ankit Garg, Yuanzhi Li, Rafael Mendes de Oliveira, Avi Wigderson
2018	B	`conf`	Sparsity, variance and curvature in multi-armed bandits. ALT Sébastien Bubeck, Michael B. Cohen, Yuanzhi Li
2018	J	`jnl`	The Well Tempered Lasso. CoRR Yuanzhi Li, Yoram Singer
2018	A*	`conf`	The Well-Tempered Lasso. ICML Yuanzhi Li, Yoram Singer
2017	J	`jnl`	A Nearly Instance Optimal Algorithm for Top-k Ranking under the Multinomial Logit Model. CoRR Xi Chen, Yuanzhi Li, Jieming Mao
2017	J	`jnl`	Algorithmic Regularization in Over-parameterized Matrix Recovery. CoRR Yuanzhi Li, Tengyu Ma, Hongyang Zhang
2017	J	`jnl`	An homotopy method for 𝓵 CoRR Sébastien Bubeck, Michael B. Cohen, Yin Tat Lee, Yuanzhi Li
2017	—	`conf`	Convergence Analysis of Two-layer Neural Networks with ReLU Activation. NIPS Yuanzhi Li, Yang Yuan
2017	J	`jnl`	Convergence Analysis of Two-layer Neural Networks with ReLU Activation. CoRR Yuanzhi Li, Yang Yuan
2017	J	`jnl`	Does Corporate Governance Matter More for High Financial Slack Firms? Manag. Sci. Kose John, Yuanzhi Li, Jiaren Pang
2017	A*	`conf`	Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition. ICML Zeyuan Allen-Zhu, Yuanzhi Li
2017	A*	`conf`	Faster Principal Component Regression and Stable Matrix Chebyshev Approximation. ICML Zeyuan Allen-Zhu, Yuanzhi Li
2017	A*	`conf`	First Efficient Convergence for Streaming k-PCA: A Global, Gap-Free, and Near-Optimal Rate. FOCS Zeyuan Allen-Zhu, Yuanzhi Li
2017	J	`jnl`	Follow the Compressed Leader: Faster Algorithms for Matrix Multiplicative Weight Updates. CoRR Zeyuan Allen Zhu, Yuanzhi Li
2017	A*	`conf`	Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU. ICML Zeyuan Allen-Zhu, Yuanzhi Li
2017	—	`conf`	Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls. NIPS Zeyuan Allen-Zhu, Elad Hazan, Wei Hu, Yuanzhi Li
2017	J	`jnl`	Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls. CoRR Zeyuan Allen-Zhu, Elad Hazan, Wei Hu, Yuanzhi Li
2017	A*	`conf`	Much Faster Algorithms for Matrix Scaling. FOCS Zeyuan Allen-Zhu, Yuanzhi Li, Rafael Mendes de Oliveira, Avi Wigderson
2017	J	`jnl`	Much Faster Algorithms for Matrix Scaling. CoRR Zeyuan Allen Zhu, Yuanzhi Li, Rafael Mendes de Oliveira, Avi Wigderson
2017	A*	`conf`	Near-Optimal Design of Experiments via Regret Minimization. ICML Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang
2017	J	`jnl`	Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach. CoRR Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh, Yining Wang
2017	J	`jnl`	Neon2: Finding Local Minima via First-Order Oracles. CoRR Zeyuan Allen-Zhu, Yuanzhi Li
2017	A*	`conf`	Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. ICML Yuanzhi Li, Yingyu Liang
2017	J	`jnl`	Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. CoRR Yuanzhi Li, Yingyu Liang
2017	J	`jnl`	Sparsity, variance and curvature in multi-armed bandits. CoRR Sébastien Bubeck, Michael B. Cohen, Yuanzhi Li
2016	J	`jnl`	A Latent Variable Model Approach to PMI-based Word Embeddings. Trans. Assoc. Comput. Linguistics Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski
2016	—	`conf`	Algorithms and matching lower bounds for approximately-convex optimization. NIPS Andrej Risteski, Yuanzhi Li
2016	J	`jnl`	An optimal algorithm for bandit convex optimization. CoRR Elad Hazan, Yuanzhi Li
2016	—	`conf`	Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods. NIPS Andrej Risteski, Yuanzhi Li
2016	J	`jnl`	Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods. CoRR Yuanzhi Li, Andrej Risteski
2016	J	`jnl`	Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition. CoRR Zeyuan Allen Zhu, Yuanzhi Li
2016	—	`conf`	Even Faster SVD Decomposition Yet Without Agonizing Pain. NIPS Zeyuan Allen Zhu, Yuanzhi Li
2016	J	`jnl`	Even Faster SVD Decomposition Yet Without Agonizing Pain. CoRR Zeyuan Allen Zhu, Yuanzhi Li
2016	J	`jnl`	Fast Global Convergence of Online PCA. CoRR Zeyuan Allen Zhu, Yuanzhi Li
2016	J	`jnl`	Faster Principal Component Regression via Optimal Polynomial Approximation to sgn(x). CoRR Zeyuan Allen Zhu, Yuanzhi Li
2016	J	`jnl`	Linear Algebraic Structure of Word Senses, with Applications to Polysemy. CoRR Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski
2016	—	`conf`	Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates. NIPS Yuanzhi Li, Yingyu Liang, Andrej Risteski
2016	J	`jnl`	Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates. CoRR Yuanzhi Li, Yingyu Liang, Andrej Risteski
2016	A*	`conf`	Recovery guarantee of weighted low-rank approximation via alternating minimization. ICML Yuanzhi Li, Yingyu Liang, Andrej Risteski
2016	J	`jnl`	Recovery guarantee of weighted low-rank approximation via alternating minimization. CoRR Yuanzhi Li, Yingyu Liang, Andrej Risteski
2015	J	`jnl`	Random Walks on Context Spaces: Towards an Explanation of the Mysteries of Semantic Word Embeddings. CoRR Sanjeev Arora, Yuanzhi Li, Yingyu Liang, Tengyu Ma, Andrej Risteski
2014	—	`conf`	An Automatic News Analysis and Opinion Sharing System for Exchange Rate Analysis. ICEBE Hongyu Mao, Keqin Wang, Rui Ma, Yifan Gao, Yuanzhi Li, Kun Chen, Dejun Xie, Wei Zhu, Ting Wang, Huaiqing Wang
2013	J	`jnl`	A Theoretical Analysis of NDCG Type Ranking Measures CoRR Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu, Wei Chen
2013	A*	`conf`	A Theoretical Analysis of NDCG Type Ranking Measures. COLT Yining Wang, Liwei Wang, Yuanzhi Li, Di He, Tie-Yan Liu
2007	—	`conf`	An Empirical Research of Factors Influencing the Decision-Making of Chinese Online Shoppers. I3E (1) Hui Chen, Yuanzhi Li