vix.ing · top · new · best · stats · spec

Arsen Vasilyan

  1. Testing distributional assumptions of learning algorithms
    2022/04/14 by Ronitt Rubinfeld, Rubinfeld, Ronitt, Arsen Vasilyan +1 · 4 citations
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
  2. Tolerant Algorithms for Learning with Arbitrary Covariate Shift
    2024/06/04 by Surbhi Goel, Abhishek Shetty, Goel, Surbhi +5 · 3 citations
    Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Quantum Computing Algorithms and Architecture #Stochastic Gradient Optimization Techniques
  3. Tester-Learners for Halfspaces: Universal Algorithms
    2023/05/19 by Aravind Gollakota, Adam R. Klivans, Gollakota, Aravind +5 · 2 citations
    Computer Science · #Machine Learning and Algorithms #Complexity and Algorithms in Graphs #Adversarial Robustness in Machine Learning
  4. Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds
    2024/04/02 by Adam R. Klivans, Konstantinos Stavropoulos, Klivans, Adam R. +3 · 2 citations
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
  5. Properly learning monotone functions via local reconstruction
    2022/04/25 by Jane Lange, Ronitt Rubinfeld, Lange, Jane +3 · 1 citation
    Computer Science · #Machine Learning and Algorithms #Privacy-Preserving Technologies in Data #Complexity and Algorithms in Graphs
  6. Agnostic proper learning of monotone functions: beyond the black-box correction barrier
    2023/04/05 by Jane Lange, Lange, Jane, Arsen Vasilyan +1 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Data Structures and Algorithms (cs.DS) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  7. An Efficient Tester-Learner for Halfspaces
    2023/02/28 by Aravind Gollakota, Adam R. Klivans, Gollakota, Aravind +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  8. Local Lipschitz Filters for Bounded-Range Functions with Applications to Arbitrary Real-Valued Functions
    2023/08/28 by Jane Lange, Ephraim Linder, Lange, Jane +5 · 1 citation
    Computer Science · #Complexity and Algorithms in Graphs #Cryptography and Data Security #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data
  9. Efficient Discrepancy Testing for Learning with Distribution Shift
    2024/06/13 by Gautam Chandrasekaran, Chandrasekaran, Gautam, Adam R. Klivans +7 · 1 citation
    Engineering · Computer Science · Mathematics · #Advancements in Photolithography Techniques #Handwritten Text Recognition Techniques #Mathematical Approximation and Integration