Yiping Lu
Orcid: 0000-0001-9459-699XAffiliations:
- Stanford University, Institute for Computational and Mathematical Engineering, ICME, CA, USA
- Peking University, School of Mathematical Sciences, Beijing, China
According to our database1,
Yiping Lu
authored at least 19 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality.
CoRR, 2023
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls.
CoRR, 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2020
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth.
CoRR, 2020
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
J. Comput. Phys., 2019
Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network.
CoRR, 2019
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration.
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018