Vasilyan, Arsen

10 publications

COLT 2025 Learning Constant-Depth Circuits in Malicious Noise Models Adam Klivans, Konstantinos Stavropoulos, Arsen Vasilyan

NeurIPS 2025 Robust Learning of Halfspaces Under Log-Concave Marginals Jane Lange, Arsen Vasilyan

NeurIPS 2025 The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination Adam Klivans, Konstantinos Stavropoulos, Kevin Tian, Arsen Vasilyan

ICLR 2024 An Efficient Tester-Learner for Halfspaces Aravind Gollakota, Adam Klivans, Konstantinos Stavropoulos, Arsen Vasilyan

NeurIPS 2024 Efficient Discrepancy Testing for Learning with Distribution Shift Gautam Chandrasekaran, Adam R. Klivans, Vasilis Kontonis, Konstantinos Stavropoulos, Arsen Vasilyan

COLT 2024 Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds Adam Klivans, Konstantinos Stavropoulos, Arsen Vasilyan

NeurIPS 2024 Plant-and-Steal: Truthful Fair Allocations via Predictions Ilan Reuven Cohen, Alon Eden, Talya Eden, Arsen Vasilyan

COLT 2024 Testable Learning with Distribution Shift Adam Klivans, Konstantinos Stavropoulos, Arsen Vasilyan

NeurIPS 2024 Tolerant Algorithms for Learning with Arbitrary Covariate Shift Surbhi Goel, Abhishek Shetty, Konstantinos Stavropoulos, Arsen Vasilyan

NeurIPS 2023 Tester-Learners for Halfspaces: Universal Algorithms Aravind Gollakota, Adam Klivans, Konstantinos Stavropoulos, Arsen Vasilyan