Boedihardjo, March

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. Asymptotic *-moments of some random Vandermonde matrices
   2016/02/08 by Boedihardjo, March, Dykema, Ken · 1 citation
   #15B52 (46L54) #FOS: Mathematics #Operator Algebras (math.OA) #Probability (math.PR)
3. 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)
4. 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
5. Privacy of synthetic data: a statistical framework
   2021/09/03 by Boedihardjo, March, Strohmer, Thomas, Vershynin, Roman · 1 citation
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Statistics Theory (math.ST)