Ben-David, Shai

1. Empirical Risk Minimization under Fairness Constraints
   2018/02/23 by Donini, Michele, Oneto, Luca, Ben-David, Shai +2 · 15 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. A Uniqueness Theorem for Clustering
   2012/05/09 by Reza Bosagh Zadeh, Zadeh, Reza Bosagh, Shai Ben-David +1 · 3 citations
   Computer Science · Physics and Astronomy · #Advanced Clustering Algorithms Research #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topological and Geometric Data Analysis
3. On Computable Online Learning
   2023/02/08 by Niki Hasrati, Shai Ben-David, Hasrati, Niki +1 · 4 citations
   Computer Science · Decision Sciences · #Computability, Logic, AI Algorithms #Machine Learning and Algorithms #Advanced Bandit Algorithms Research
4. Learning Low-Density Separators
   2008/05/19 by Shai Ben-David, Tyler Lu, Ben-David, Shai +5 · 1 citation
   Computer Science · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
5. 2 Notes on Classes with Vapnik-Chervonenkis Dimension 1
   2015/07/19 by Ben-David, Shai · 1 citation
   #FOS: Computer and information sciences #G.2 #G.3 #Machine Learning (cs.LG)
6. Multi-task and Lifelong Learning of Kernels
   2016/02/21 by Pentina, Anastasia, Ben-David, Shai · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Sample-Efficient Learning of Mixtures
   2017/06/06 by Ashtiani, Hassan, Ben-David, Shai, Mehrabian, Abbas · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Provably noise-robust, regularised k-means clustering
   2017/11/30 by Shrinu Kushagra, Kushagra, Shrinu, Yaoliang Yu +3 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Remote-Sensing Image Classification #Sparse and Compressive Sensing Techniques
9. Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability
   2020/10/26 by Dziugaite, Gintare Karolina, Ben-David, Shai, Roy, Daniel M. · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
10. Impossibility results for fair representations
    2021/07/07 by Tosca Lechner, Lechner, Tosca, Shai Ben-David +5 · 1 citation
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #FOS: Computer and information sciences #I.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
11. Representation Learning for Clustering: A Statistical Framework
    2015/06/19 by Hassan Ashtiani, Shai Ben-David, Ashtiani, Hassan +1 · 1 citation
    Computer Science · #Algorithms and Data Compression #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
12. Private Distribution Learning with Public Data: The View from Sample Compression
    2023/08/11 by Shai Ben-David, Alex Bie, Ben-David, Shai +7 · 1 citation
    Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Privacy-Preserving Technologies in Data
13. Distribution Learnability and Robustness
    2024/06/25 by Ben-David, Shai, Bie, Alex, Kamath, Gautam +1 · 2 citations
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)