Verifiable Boosted Tree Ensembles
Authors: Stefano Calzavara, Lorenzo Cazzaro, Claudio Lucchese, Giulio Ermanno Pibiri | Published: 2024-02-22
Optimization Problem
Zeroth-Order primal-dual Alternating Projection Gradient Algorithms for Nonconvex Minimax Problems with Coupled linear Constraints
Authors: Huiling Zhang, Zi Xu, Yuhong Dai | Published: 2024-01-26
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models
Authors: Yuanbin Cheng, Koji Yamashita, Jim Follum, Nanpeng Yu | Published: 2023-11-13
A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning
Authors: Spencer Giddens, Yiwang Zhou, Kevin R. Krull, Tara M. Brinkman, Peter X. K. Song, Fang Liu | Published: 2023-07-24 | Updated: 2024-09-27
The importance of feature preprocessing for differentially private linear optimization
Authors: Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon | Published: 2023-07-19 | Updated: 2024-02-19
Optimal Differentially Private Model Training with Public Data
Authors: Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn | Published: 2023-06-26 | Updated: 2024-09-09
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Authors: Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu | Published: 2023-04-09 | Updated: 2023-12-21
Reliable learning in challenging environments
Authors: Maria-Florina Balcan, Steve Hanneke, Rattana Pukdee, Dravyansh Sharma | Published: 2023-04-06 | Updated: 2023-10-29
Practical Differentially Private Hyperparameter Tuning with Subsampling
Authors: Antti Koskela, Tejas Kulkarni | Published: 2023-01-27 | Updated: 2024-02-13
Pareto Regret Analyses in Multi-objective Multi-armed Bandit
Authors: Mengfan Xu, Diego Klabjan | Published: 2022-12-01 | Updated: 2023-05-30