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Arsen Vasilyan
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2020 – today
- 2024
- [c9]Adam R. Klivans, Konstantinos Stavropoulos, Arsen Vasilyan:
Testable Learning with Distribution Shift. COLT 2024: 2887-2943 - [c8]Adam R. Klivans, Konstantinos Stavropoulos, Arsen Vasilyan:
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds. COLT 2024: 2944-2978 - [c7]Aravind Gollakota, Adam R. Klivans, Konstantinos Stavropoulos, Arsen Vasilyan:
An Efficient Tester-Learner for Halfspaces. ICLR 2024 - [i13]Adam R. Klivans, Konstantinos Stavropoulos, Arsen Vasilyan:
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower Bounds. CoRR abs/2404.02364 (2024) - [i12]Surbhi Goel, Abhishek Shetty, Konstantinos Stavropoulos, Arsen Vasilyan:
Tolerant Algorithms for Learning with Arbitrary Covariate Shift. CoRR abs/2406.02742 (2024) - [i11]Ilan Reuven Cohen, Alon Eden, Talya Eden, Arsen Vasilyan:
Plant-and-Steal: Truthful Fair Allocations via Predictions. CoRR abs/2406.07024 (2024) - [i10]Gautam Chandrasekaran, Adam R. Klivans, Vasilis Kontonis, Konstantinos Stavropoulos, Arsen Vasilyan:
Efficient Discrepancy Testing for Learning with Distribution Shift. CoRR abs/2406.09373 (2024) - 2023
- [c6]Jane Lange, Arsen Vasilyan:
Agnostic proper learning of monotone functions: beyond the black-box correction barrier. FOCS 2023: 1149-1170 - [c5]Aravind Gollakota, Adam R. Klivans, Konstantinos Stavropoulos, Arsen Vasilyan:
Tester-Learners for Halfspaces: Universal Algorithms. NeurIPS 2023 - [c4]Ronitt Rubinfeld, Arsen Vasilyan:
Testing Distributional Assumptions of Learning Algorithms. STOC 2023: 1643-1656 - [i9]Aravind Gollakota, Adam R. Klivans, Konstantinos Stavropoulos, Arsen Vasilyan:
An Efficient Tester-Learner for Halfspaces. CoRR abs/2302.14853 (2023) - [i8]Jane Lange, Arsen Vasilyan:
Agnostic proper learning of monotone functions: beyond the black-box correction barrier. CoRR abs/2304.02700 (2023) - [i7]Aravind Gollakota, Adam R. Klivans, Konstantinos Stavropoulos, Arsen Vasilyan:
Tester-Learners for Halfspaces: Universal Algorithms. CoRR abs/2305.11765 (2023) - [i6]Jane Lange, Ephraim Linder, Sofya Raskhodnikova, Arsen Vasilyan:
Local Lipschitz Filters for Bounded-Range Functions. CoRR abs/2308.14716 (2023) - [i5]Adam R. Klivans, Konstantinos Stavropoulos, Arsen Vasilyan:
Testable Learning with Distribution Shift. CoRR abs/2311.15142 (2023) - 2022
- [c3]Jane Lange, Ronitt Rubinfeld, Arsen Vasilyan:
Properly learning monotone functions via local correction. FOCS 2022: 75-86 - [i4]Ronitt Rubinfeld, Arsen Vasilyan:
Testing distributional assumptions of learning algorithms. CoRR abs/2204.07196 (2022) - [i3]Jane Lange, Ronitt Rubinfeld, Arsen Vasilyan:
Properly learning monotone functions via local reconstruction. CoRR abs/2204.11894 (2022) - 2020
- [c2]Ronitt Rubinfeld, Arsen Vasilyan:
Monotone Probability Distributions over the Boolean Cube Can Be Learned with Sublinear Samples. ITCS 2020: 28:1-28:34 - [i2]Ronitt Rubinfeld, Arsen Vasilyan:
Monotone probability distributions over the Boolean cube can be learned with sublinear samples. CoRR abs/2002.03415 (2020)
2010 – 2019
- 2019
- [c1]Ronitt Rubinfeld, Arsen Vasilyan:
Approximating the Noise Sensitivity of a Monotone Boolean Function. APPROX-RANDOM 2019: 52:1-52:17 - [i1]Ronitt Rubinfeld, Arsen Vasilyan:
Approximating the noise sensitivity of a monotone Boolean function. CoRR abs/1904.06745 (2019)
Coauthor Index
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last updated on 2024-08-08 19:18 CEST by the dblp team
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