数値安定性の問題

Privacy-preserving Data Sharing on Vertically Partitioned Data

Authors: Razane Tajeddine, Joonas Jälkö, Samuel Kaski, Antti Honkela | Published: 2020-10-19 | Updated: 2022-09-02
数値安定性の問題
最適化手法
機械学習のプライバシー保護

Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation

Authors: Alexander Levine, Soheil Feizi | Published: 2019-11-21
モデル性能評価
数値安定性の問題
敵対的攻撃手法

Suspicion-Free Adversarial Attacks on Clustering Algorithms

Authors: Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra | Published: 2019-11-16
モデル性能評価
数値安定性の問題
敵対的攻撃手法

Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory

Authors: Arash Rahnama, Andre T. Nguyen, Edward Raff | Published: 2019-11-12
モデル設計
数値安定性の問題
敵対的サンプル

Long-range Event-level Prediction and Response Simulation for Urban Crime and Global Terrorism with Granger Networks

Authors: Timmy Li, Yi Huang, James Evans, Ishanu Chattopadhyay | Published: 2019-11-04
モデル性能評価
数値安定性の問題
機械学習の役割

Exponential error rates of SDP for block models: Beyond Grothendieck’s inequality

Authors: Yingjie Fei, Yudong Chen | Published: 2017-05-23
数値安定性の問題
最適化アルゴリズムの選択と評価
高次元データ分析