Weijie J. Su
- What Should Data Science Education Do with Large Language Models?
2023/07/06 by Xinming Tu, Tu, Xinming, James Zou +6 · 6 voices · 6 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #cs.AI #cs.CL #cs.CY
- Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
2021/10/11 by Jiayao Zhang, Zhang, Jiayao, Hua Wang +4 · 1 voice · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Applied mathematics #Computer science #Differential equation #Dynamics (music) #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Mathematical analysis #Mathematics #Model Reduction and Neural Networks #Physics #Statistical physics #Stochastic differential equation #Stochastic dynamics #Stochastic partial differential equation #cs.CV #cs.LG #stat.ML
- Deep Learning with Gaussian Differential Privacy
2019/11/26 by Zhiqi Bu, Bu, Zhiqi, Jinshuo Dong +6 · 14 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #cs.CR #cs.LG #stat.ML
- ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
2022/01/31 by Jiayao Zhang, Hongming Zhang, Zhang, Jiayao +6 · 1 voice · 2 citations
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #Topic Modeling #cs.AI #cs.CL #cs.LG #stat.AP
- The Local Elasticity of Neural Networks
2019/10/15 by Hangfeng He, He, Hangfeng, Weijie Su +2 · 7 citations
Computer Science · Mathematics · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Stochastic Gradient Optimization Techniques #cs.CV #cs.LG #stat.ML
- An Economic Solution to Copyright Challenges of Generative AI
2024/04/22 by Jiachen T. Wang, Wang, Jiachen T., Zhun Deng +7 · 1 voice · 6 citations
Computer Science · Economics, Econometrics and Finance · Mathematics · #FOS: Computer and information sciences #FOS: Economics and business #General Economics (econ.GN) #Law, AI, and Intellectual Property #Machine Learning (cs.LG) #Methodology (stat.ME) #cs.LG #econ.GN #stat.ME
- Acceleration via Symplectic Discretization of High-Resolution Differential Equations
2019/02/11 by Bin Shi, Simon S. Du, Shi, Bin +6 · 10 citations
Computer Science · Economics, Econometrics and Finance · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques #Stochastic processes and financial applications #cs.LG #cs.NA #math.NA #math.OC #stat.ML
- On Learning Rates and Schrödinger Operators
2020/04/15 by Bin Shi, Shi, Bin, Weijie Su +4 · 10 citations
Computer Science · Mathematics · #Analysis of PDEs (math.AP) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications #Optimization and Control (math.OC) #cs.LG #math.AP #math.OC #stat.ML
- Detecting Multiple Replicating Signals using Adaptive Filtering Procedures
2016/10/11 by Jingshu Wang, Lin Gui, Wang, Jingshu +8 · 4 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · #FOS: Computer and information sciences #Gene expression and cancer classification #Methodology (stat.ME) #Molecular Biology Techniques and Applications #Single-cell and spatial transcriptomics #stat.ME
- An Overview of Large Language Models for Statisticians
2025/02/25 by Wenlong Ji, Ji, Wenlong, Weizhe Yuan +17 · 2 voices · 10 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.AI #cs.CL #cs.LG #stat.ML
- Toward Better Generalization Bounds with Locally Elastic Stability
2020/10/27 by Zhun Deng, Hangfeng He, Deng, Zhun +4 · 5 citations
Computer Science · Engineering · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #cs.LG #cs.NE
- Oneshot Differentially Private Top-k Selection
2021/05/18 by Gang Qiao, Qiao, Gang, Weijie Su +4 · 3 citations
Computer Science · Mathematics · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #cs.CR #cs.LG #stat.ML
- Weighted Training for Cross-Task Learning
2021/05/28 by Shuxiao Chen, Koby Crammer, Chen, Shuxiao +8 · 3 citations
Computer Science · Mathematics · #Natural Language Processing Techniques #Speech Recognition and Synthesis #Topic Modeling #cs.CL #cs.LG #stat.ML
- Differentially Private False Discovery Rate Control
2018/07/11 by Cynthia Dwork, Dwork, Cynthia, Weijie Su +4 · 2 citations
Computer Science · Mathematics · #Artificial intelligence #Computer science #Control (management) #Data mining #Differential privacy #FOS: Computer and information sciences #FOS: Mathematics #False discovery rate #Logarithm #Machine Learning (cs.LG) #Machine learning #Mathematics #Multiple comparisons problem #Multiplicative function #Null (SQL) #Null hypothesis #Privacy-Preserving Technologies in Data #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials #Statistical hypothesis testing #Statistics #Statistics Theory (math.ST) #Value (mathematics) #cs.LG #math.ST #stat.TH
- Statistical Impossibility and Possibility of Aligning LLMs with Human Preferences: From Condorcet Paradox to Nash Equilibrium
2025/03/14 by Kaizhao Liu, Qi Long, Liu, Kaizhao +9 · 1 voice · 10 citations
Computer Science · Economics, Econometrics and Finance · Mathematics · #Condorcet method #Constraint Satisfaction and Optimization #Game Theory and Voting Systems #Impossibility #Leverage (statistics) #Mobile Crowdsensing and Crowdsourcing #Nash equilibrium #Preference #Probabilistic logic #Social choice theory #cs.GT #cs.LG #econ.TH #math.ST #stat.ML
- The FDR-Linking Theorem
2018/12/21 by Weijie Su, Weijie J. Su, Su, Weijie J. · 2 citations
Computer Science · Mathematics · #Algorithms and Data Compression #FOS: Mathematics #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST) #math.ST #stat.TH
- Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment
2024/10/22 by Mingzhi Wang, Wang, Mingzhi, Chengdong Ma +18 · 2 voices · 5 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling #cs.CL
- Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
2020/10/22 by Shuxiao Chen, Chen, Shuxiao, Hangfeng He +4 · 2 citations
Computer Science · Mathematics · Physics and Astronomy · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #cs.LG #stat.ML
- A Central Limit Theorem for Differentially Private Query Answering
2021/03/15 by Jinshuo Dong, Dong, Jinshuo, Weijie Su +4 · 2 citations
Computer Science · Mathematics · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques #cs.CR #cs.IT #cs.LG #math.IT #math.ST #stat.ML #stat.TH
- Federated f-Differential Privacy
2021/02/22 by Qinqing Zheng, Zheng, Qinqing, Shuxiao Chen +6 · 2 citations
Computer Science · Mathematics · Medicine · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Patient Dignity and Privacy #Privacy-Preserving Technologies in Data #cs.AI #cs.CR #cs.CV #cs.LG #stat.ML
- When Is the First Spurious Variable Selected by Sequential Regression Procedures?
2017/08/10 by Weijie J. Su, Su, Weijie J. · 1 citation
Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST) #math.ST #stat.ML #stat.TH
- Rejoinder: Gaussian Differential Privacy
2021/04/05 by Jinshuo Dong, Dong, Jinshuo, Aaron Roth +4 · 1 citation
Computer Science · Mathematics · Social Sciences · #Computer science #Cryptography and Data Security #Cryptography and Security (cs.CR) #Data mining #Differential (mechanical device) #Differential privacy #FOS: Computer and information sciences #FOS: Mathematics #Gaussian #Internet privacy #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Physics #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data #Quantum mechanics #Statistics Theory (math.ST) #Thermodynamics #cs.CR #cs.LG #math.ST #stat.ML #stat.TH
- Statistical Early Stopping for Reasoning Models
2026/02/15 by Yangxinyu Xie, Tao Wang, Soham Mallick +6 · 3 citations
Computer Science · Mathematics · #cs.AI #cs.LG #stat.ML