Yuanzhi Li

发表

Random Walks on Context Spaces: Towards an Explanation of the Mysteries of Semantic Word Embeddings pdf

Sanjeev Arora, Yuanzhi Li, Yingyu Liang, 2015, ArXiv.

A Convergence Theory for Deep Learning via Over-Parameterization pdf

Yuanzhi Li, Zeyuan Allen-Zhu, Zhao Song, 2018, ICML.

Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning pdf

Yuanzhi Li, Zeyuan Allen-Zhu, 2020, ArXiv.

When Is Generalizable Reinforcement Learning Tractable? pdf

Dhruv Malik, Yuanzhi Li, Pradeep Ravikumar, 2021, ArXiv.

Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without pdf

Yuval Peres, Yuanzhi Li, Sébastien Bubeck, 2020, COLT.

Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits pdf

Yuanzhi Li, Sébastien Bubeck, Zeyuan Allen-Zhu, 2018, ICML.

Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition pdf

Yuanzhi Li, Zeyuan Allen-Zhu, Yuanzhi Li, 2016, ICML.

What Can ResNet Learn Efficiently, Going Beyond Kernels?

Yuanzhi Li, Zeyuan Allen-Zhu, Yuanzhi Li, 2019, NeurIPS.

Even Faster SVD Decomposition Yet Without Agonizing Pain

Yuanzhi Li, Zeyuan Allen Zhu, Yuanzhi Li, 2016, NIPS.

Bayesian Models for Repeated Measures Data Using Markov Chain Monte Carlo Methods

Yuanzhi Li, 2016 .

Study on Water Quality Monitoring and Assessment of Yuecheng Reservoir

Yuanzhi Li, Jihong Zhou, Xumin Tian, 2013 .

Neon2: Finding Local Minima via First-Order Oracles

Yuanzhi Li, Zeyuan Allen-Zhu, Yuanzhi Li, 2017, NeurIPS.

Study on Prediction and Assessment of Noise Environment Impact during the Construction Period

Yuanzhi Li, Hui Ma, Jihong Zhou, 2012 .

When can Wasserstein GANs minimize Wasserstein Distance? pdf

Yuanzhi Li, Zehao Dou, 2020, ArXiv.

Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers

Yuanzhi Li, Yingyu Liang, Zeyuan Allen-Zhu, 2018, NeurIPS.

An Automatic News Analysis and Opinion Sharing System for Exchange Rate Analysis

Ting Wang, Keqin Wang, Huaiqing Wang, 2014, 2014 IEEE 11th International Conference on e-Business Engineering.

On the Convergence Rate of Training Recurrent Neural Networks

Yuanzhi Li, Zeyuan Allen-Zhu, Zhao Song, 2018, NeurIPS.

Learning Over-Parametrized Two-Layer ReLU Neural Networks beyond NTK pdf

Yuanzhi Li, Tengyu Ma, Hongyang R. Zhang, 2020, COLT 2020.

An optimal algorithm for bandit convex optimization pdf

Yuanzhi Li, Elad Hazan, Elad Hazan, 2016, ArXiv.

Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data

Yuanzhi Li, Yingyu Liang, Yuanzhi Li, 2018, NeurIPS.

Fast Global Convergence of Online PCA pdf

Yuanzhi Li, Zeyuan Allen Zhu, Yuanzhi Li, 2016, ArXiv.

An Empirical Research of Factors Influencing the Decision-Making of Chinese Online Shoppers

Hui Chen, Yuanzhi Li, Hui Chen, 2007, I3E.

ON THE ABILITY OF GRADIENT DESCENT TO LEARN NEURAL NETWORKS

Yuanzhi Li, Yuanzhi Li, 2018 .

Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives

Yin Tat Lee, Yuanzhi Li, Qijia Jiang, 2019, COLT.

Survey: No-Cloning Theorem

Yuanzhi Li, Yuanzhi Li, 2014 .

A law of robustness for two-layers neural networks pdf

Yuanzhi Li, S'ebastien Bubeck, Dheeraj Nagaraj, 2020, ArXiv.

Complexity of Highly Parallel Non-Smooth Convex Optimization

Yin Tat Lee, Yuanzhi Li, Qijia Jiang, 2019, NeurIPS.

TRY plant trait database - enhanced coverage and open access.

Denis Bastianelli, Yuanzhi Li, Ben Somers, 2019, Global change biology.

Fuzzy Clustering Algorithm for Interval Data Based on Feedback RBF Neural Network

Yuanzhi Li, Hao Luo, Yang Liu, 2020 .

Near-optimal discrete optimization for experimental design: a regret minimization approach

Yuanzhi Li, Aarti Singh, Yining Wang, 2017, Mathematical Programming.

The Well Tempered Lasso

Yuanzhi Li, Yoram Singer, Y. Singer, 2018, ICML.

First Efficient Convergence for Streaming k-PCA: A Global, Gap-Free, and Near-Optimal Rate

Yuanzhi Li, Zeyuan Allen-Zhu, Yuanzhi Li, 2016, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS).

Online Improper Learning with an Approximation Oracle

Wei Hu, Yuanzhi Li, Zhiyuan Li, 2018, NeurIPS.

Linear Algebraic Structure of Word Senses, with Applications to Polysemy

Sanjeev Arora, Yuanzhi Li, Yingyu Liang, 2016, TACL.

Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations

Yuanzhi Li, Yingyu Liang, Yuanzhi Li, 2017, ICML.

Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks

Colin Wei, Yuanzhi Li, Tengyu Ma, 2019, NeurIPS.

Chasing Nested Convex Bodies Nearly Optimally

Yin Tat Lee, Yuanzhi Li, Sébastien Bubeck, 2018, SODA.

A Theoretical Analysis of NDCG Type Ranking Measures pdf

Tie-Yan Liu, Liwei Wang, Yuanzhi Li, 2013, COLT.

Much Faster Algorithms for Matrix Scaling

Avi Wigderson, Yuanzhi Li, Zeyuan Allen-Zhu, 2017, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS).

Follow the Compressed Leader: Faster Algorithms for Matrix Multiplicative Weight Updates pdf

Yuanzhi Li, Zeyuan Allen Zhu, Yuanzhi Li, 2017, ArXiv.

Can SGD Learn Recurrent Neural Networks with Provable Generalization?

Yuanzhi Li, Zeyuan Allen-Zhu, Yuanzhi Li, 2019, NeurIPS.

RAND-WALK: A Latent Variable Model Approach to Word Embeddings

Sanjeev Arora, Yuanzhi Li, Yingyu Liang, 2015 .

Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates

Yuanzhi Li, Yingyu Liang, Andrej Risteski, 2016, NIPS.

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees pdf

Yuandong Tian, Trevor Darrell, Yuanzhi Li, 2018, ICLR.

Algorithmic Regularization in Over-parameterized Matrix Sensing and Neural Networks with Quadratic Activations

Hongyang Zhang, Yuanzhi Li, Tengyu Ma, 2017, COLT.

Operator scaling via geodesically convex optimization, invariant theory and polynomial identity testing

Avi Wigderson, Yuanzhi Li, Ankit Garg, 2018, STOC.

Improved Path-length Regret Bounds for Bandits

Haipeng Luo, Chen-Yu Wei, Yuanzhi Li, 2019, COLT.

Sparsity, variance and curvature in multi-armed bandits pdf

Yuanzhi Li, Sébastien Bubeck, Michael B. Cohen, 2017, ALT.

Algorithms and matching lower bounds for approximately-convex optimization

Yuanzhi Li, Andrej Risteski, Yuanzhi Li, 2016, NIPS.

Making Method of Moments Great Again? -- How can GANs learn the target distribution

Yuanzhi Li, Zehao Dou, 2020 .

Feature Purification: How Adversarial Training Performs Robust Deep Learning pdf

Yuanzhi Li, Zeyuan Allen-Zhu, 2020, ArXiv.

Faster Principal Component Regression via Optimal Polynomial Approximation to sgn(x) pdf

Yuanzhi Li, Zeyuan Allen Zhu, Yuanzhi Li, 2016, ArXiv.

A Latent Variable Model Approach to PMI-based Word Embeddings

Sanjeev Arora, Yuanzhi Li, Yingyu Liang, 2015, TACL.

Recovery guarantee of weighted low-rank approximation via alternating minimization

Yuanzhi Li, Yingyu Liang, Andrej Risteski, 2016, ICML.

Algorithmic Regularization in Over-parameterized Matrix Recovery pdf

Yuanzhi Li, Tengyu Ma, Hongyang Zhang, 2017, ArXiv.

An Alternative View: When Does SGD Escape Local Minima? pdf

Yuanzhi Li, Yang Yuan, Robert D. Kleinberg, 2018, ICML.

An homotopy method for lp regression provably beyond self-concordance and in input-sparsity time

Yin Tat Lee, Yuanzhi Li, Sébastien Bubeck, 2018, STOC.

Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls

Yuanzhi Li, Elad Hazan, Zeyuan Allen-Zhu, 2017, NIPS.

Does Corporate Governance Matter More for High Financial Slack Firms?

Yuanzhi Li, Kose John, Jiaren Pang, 2017, Manag. Sci..

Faster Principal Component Regression and Stable Matrix Chebyshev Approximation

Yuanzhi Li, Zeyuan Allen-Zhu, 2017, ICML.

Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods

Yuanzhi Li, Andrej Risteski, Yuanzhi Li, 2016, NIPS.

Near-optimal method for highly smooth convex optimization

Yin Tat Lee, Yuanzhi Li, Qijia Jiang, 2018, COLT.

Geodesic cycles in random graphs

Yuanzhi Li, Lingsheng Shi, Yuanzhi Li, 2018, Discret. Math..

Bayesian Estimation of Repeated Measures Model Using MCMC

Yuanzhi Li, Yuanzhi Li, 2014 .

Learning Mixtures of Linear Regressions with Nearly Optimal Complexity

Yuanzhi Li, Yingyu Liang, Yuanzhi Li, 2018, COLT.

A Nearly Instance Optimal Algorithm for Top-k Ranking under the Multinomial Logit Model pdf

Xi Chen, Yuanzhi Li, Jieming Mao, 2017, SODA.

Online Improper Learning in Games with Approximation Oracle

Yuanzhi Li, Wei Hu, Zhiyuan Li, 2018 .

Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU

Yuanzhi Li, Zeyuan Allen-Zhu, Yuanzhi Li, 2017, ICML.

Near-Optimal Design of Experiments via Regret Minimization

Yuanzhi Li, Yining Wang, Zeyuan Allen-Zhu, 2017, ICML.

Competitively chasing convex bodies

Yin Tat Lee, Yuanzhi Li, Sébastien Bubeck, 2018, STOC.

Convergence Analysis of Two-layer Neural Networks with ReLU Activation

Yuanzhi Li, Yang Yuan, Yang Yuan, 2017, NIPS.

Backward Feature Correction: How Deep Learning Performs Deep Learning pdf

Yuanzhi Li, Zeyuan Allen-Zhu, 2020, ArXiv.

Study on a New Steering Mechanism for Point-the-Bit Rotary Steerable System

Hongtao Li, Yuanzhi Li, Zhenjun Luo, 2014 .