March T. Boedihardjo

1. DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM
   2019/06/28 by Bao Wang, Wang, Bao, Quanquan Gu +7 · 2 citations
   Computer Science · #68T05 #Cryptography and Data Security #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
2. Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data
   2021/07/13 by March T. Boedihardjo, Thomas Strohmer, Boedihardjo, March +3 · 1 citation
   Computer Science · Decision Sciences · Social Sciences · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Privacy, Security, and Data Protection #Privacy-Preserving Technologies in Data #Probability (math.PR) #Probability and Risk Models #Statistics Theory (math.ST)
3. Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
   2024/05/24 by Jie Wang, March T. Boedihardjo, Wang, Jie +3 · 2 citations
   Mathematics · #Computational Complexity (cs.CC) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #advanced mathematical theories
4. The spectral norm of Gaussian matrices with correlated entries
   2021/04/06 by Afonso S. Bandeira, March T. Boedihardjo, Bandeira, Afonso S. +1 · 1 citation
   Mathematics · #Random Matrices and Applications #Advanced Combinatorial Mathematics #Graph theory and applications
5. Injective norm of random tensors with independent entries
   2024/12/30 by March T. Boedihardjo, Boedihardjo, March T. · 2 citations
   Engineering · Mathematics · #Elasticity and Material Modeling #FOS: Mathematics #Mathematical Approximation and Integration #Probability (math.PR) #Tensor decomposition and applications
6. Mixture and separation of log-concave measures
   2026/07/19 by March T. Boedihardjo, Yao Xie
   #math.ST #math.PR #stat.TH