Wei Hu

According to our database, Wei Hu authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking.

Kaifeng Lyu, Jikai Jin, Zhiyuan Li, Simon S. Du, Jason D. Lee, Wei Hu

CoRR, 2023

2021

When is particle filtering efficient for planning in partially observed linear dynamical systems?

Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Near-Optimal Linear Regression under Distribution Shift.

Qi Lei, Wei Hu, Jason D. Lee

Proceedings of the 38th International Conference on Machine Learning, 2021

Impact of Representation Learning in Linear Bandits.

Jiaqi Yang, Wei Hu, Jason D. Lee, Simon Shaolei Du

Proceedings of the 9th International Conference on Learning Representations, 2021

Few-Shot Learning via Learning the Representation, Provably.

Simon Shaolei Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Provable Benefits of Representation Learning in Linear Bandits.

Jiaqi Yang, Wei Hu, Jason D. Lee, Simon S. Du

CoRR, 2020

When is Particle Filtering Efficient for POMDP Sequential Planning?

Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu

CoRR, 2020

Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee.

Wei Hu, Zhiyuan Li, Dingli Yu

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Enhanced Convolutional Neural Tangent Kernels.

Zhiyuan Li, Ruosong Wang, Dingli Yu, Simon S. Du, Wei Hu, Ruslan Salakhutdinov, Sanjeev Arora

CoRR, 2019

Understanding Generalization of Deep Neural Networks Trained with Noisy Labels.

Wei Hu, Zhiyuan Li, Dingli Yu

CoRR, 2019

Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets.

Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Rong Ge, Sanjeev Arora

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Exact Computation with an Infinitely Wide Neural Net.

Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Width Provably Matters in Optimization for Deep Linear Neural Networks.

Simon S. Du, Wei Hu

Proceedings of the 36th International Conference on Machine Learning, 2019

Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks.

Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruosong Wang

Proceedings of the 36th International Conference on Machine Learning, 2019

Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity.

Simon S. Du, Wei Hu

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Online Improper Learning with an Approximation Oracle.

Elad Hazan, Wei Hu, Yuanzhi Li, Zhiyuan Li

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced.

Simon S. Du, Wei Hu, Jason D. Lee

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

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

Zeyuan Allen-Zhu, Elad Hazan, Wei Hu, Yuanzhi Li

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017