Lin, Meixia
- Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
2021/12/11 by Rémi Bardenet, Subhro Ghosh, Bardenet, Remi +4 · 2 citations
Mathematics · #Random Matrices and Applications #Point processes and geometric inequalities #Markov Chains and Monte Carlo Methods
- Wasserstein distributionally robust optimization and its tractable regularization formulations
2024/02/06 by Hong T. M. Chu, Chu, Hong T. M., Meixia Lin +3 · 3 citations
Decision Sciences · #FOS: Mathematics #Optimization and Control (math.OC) #Probabilistic and Robust Engineering Design
- An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems
2020/12/09 by Lin, Meixia, Sun, Defeng, Toh, Kim-Chuan · 1 citation
#FOS: Mathematics #Optimization and Control (math.OC)
- DNNLasso: Scalable Graph Learning for Matrix-Variate Data
2024/03/05 by Lin, Meixia, Zhang, Yangjing · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Estimation of sparse Gaussian graphical models with hidden clustering structure
2020/04/17 by Lin, Meixia, Sun, Defeng, Toh, Kim-Chuan +1 · 1 citation
#Applications (stat.AP) #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC)