Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors

Authors: Huang, Sikai, Wen, Yixin Berry, Adusumilli, Tara, Choudhary, Kusum, Yang, Haizhao

Subject Terms: Computer Science - Machine Learning, Computer Science - Symbolic Computation

Access URL: http://arxiv.org/abs/2503.09592

From Equations to Insights: Unraveling Symbolic Structures in PDEs with LLMs

Authors: Bhatnagar, Rohan, Liang, Ling, Patel, Krish, Yang, Haizhao

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2503.09986

Curse of Dimensionality in Neural Network Optimization

Authors: Na, Sanghoon, Yang, Haizhao

Subject Terms: Computer Science - Machine Learning, Mathematics - Optimization and Control, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2502.05360

PINS: Proximal Iterations with Sparse Newton and Sinkhorn for Optimal Transport

Authors: Wu, Di, Liang, Ling, Yang, Haizhao

Subject Terms: Computer Science - Machine Learning, Mathematics - Optimization and Control

Access URL: http://arxiv.org/abs/2502.03749

Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network*

Authors: Huang, Zhongzhan, Liang, Senwei, Liang, Mingfu, He, Wei, Yang, Haizhao, Lin, Liang

Source: 2024 IEEE International Conference on Multimedia and Expo (ICME) Multimedia and Expo (ICME), 2024 IEEE International Conference on. :1-6 Jul, 2024

Relation: 2024 IEEE International Conference on Multimedia and Expo (ICME)

Towards Better Generalization: Weight Decay Induces Low-rank Bias for Neural Networks

Authors: Chen, Ke, Yi, Chugang, Yang, Haizhao

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2410.02176

Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method

Authors: Hardwick, Gareth, Liang, Senwei, Yang, Haizhao

Subject Terms: Mathematics - Numerical Analysis, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2410.00835

PNOD: An Efficient Projected Newton Framework for Exact Optimal Experimental Designs

Authors: Liang, Ling, Yang, Haizhao

Subject Terms: Statistics - Methodology, Mathematics - Optimization and Control

Access URL: http://arxiv.org/abs/2409.18392

Accelerating Multi-Block Constrained Optimization Through Learning to Optimize

Authors: Liang, Ling, Austin, Cameron, Yang, Haizhao

Subject Terms: Mathematics - Optimization and Control, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2409.17320

Optimal Neural Network Approximation for High-Dimensional Continuous Functions

Authors: Maiti, Ayan, Michelle, Michelle, Yang, Haizhao

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2409.02363

Vertex Exchange Method for a Class of Quadratic Programming Problems

Authors: Liang, Ling, Toh, Kim-Chuan, Yang, Haizhao

Subject Terms: Mathematics - Optimization and Control, Computer Science - Machine Learning, 90C06, 90C22, 90C25

Access URL: http://arxiv.org/abs/2407.03294

Nesterov's Accelerated Jacobi-Type Methods for Large-scale Symmetric Positive Semidefinite Linear Systems

Authors: Liang, Ling, Pang, Qiyuan, Toh, Kim-Chuan, Yang, Haizhao

Subject Terms: Mathematics - Optimization and Control, Mathematics - Numerical Analysis, 90C06, 90C22, 90C25

Access URL: http://arxiv.org/abs/2407.03272

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model

Authors: Song, Zezheng, Yuan, Jiaxin, Yang, Haizhao

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science, Mathematics - Dynamical Systems, Mathematics - Numerical Analysis

Access URL: http://arxiv.org/abs/2404.14688

Approximating Korobov Functions via Quantum Circuits

Authors: Aftab, Junaid, Yang, Haizhao

Subject Terms: Quantum Physics

Access URL: http://arxiv.org/abs/2404.14570

On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization

Authors: Liang, Ling, Yang, Haizhao

Subject Terms: Computer Science - Machine Learning, Mathematics - Optimization and Control

Access URL: http://arxiv.org/abs/2401.12508

Finite Expression Method for Learning Dynamics on Complex Networks

Authors: Song, Zezheng, Wang, Chunmei, Yang, Haizhao

Subject Terms: Computer Science - Symbolic Computation, Mathematics - Numerical Analysis, Physics - Applied Physics

Access URL: http://arxiv.org/abs/2401.03092

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

Authors: Wu, Di, Jiao, Yuling, Shen, Li, Yang, Haizhao, Lu, Xiliang

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2312.11863

Nearly Optimal Approximation Rates for Deep Super ReLU Networks on Sobolev Spaces

Authors: Yang, Yahong, Wu, Yue, Yang, Haizhao, Xiang, Yang

Subject Terms: Mathematics - Numerical Analysis

Access URL: http://arxiv.org/abs/2310.10766

Let data talk: data-regularized operator learning theory for inverse problems

Authors: Chen, Ke, Wang, Chunmei, Yang, Haizhao

Subject Terms: Mathematics - Numerical Analysis, 65N21, G.1.8

Access URL: http://arxiv.org/abs/2310.09854

Hierarchical Interpolative Factorization for Self Green's Function in 3D Modified Poisson-Boltzmann Equations

Authors: Tu, Yihui, Xu, Zhenli, Yang, Haizhao

Subject Terms: Physics - Computational Physics

Access URL: http://arxiv.org/abs/2307.01060