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Vasilyan, Arsen
17  results:
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1

Agnostic proper learning of monotone functions: beyond the ..:

, In: 2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS),
Lange, Jane ; Vasilyan, Arsen - p. 1149-1170 , 2023
Link: https://doi.org/10.1109/..
 
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2

Testing Distributional Assumptions of Learning Algorithms:

, In: Proceedings of the 55th Annual ACM Symposium on Theory of Computing,
Rubinfeld, Ronitt ; Vasilyan, Arsen - p. 1643-1656 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Properly learning monotone functions via local correction:

, In: 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS),
Lange, Jane ; Rubinfeld, Ronitt ; Vasilyan, Arsen - p. 75-86 , 2022
Link: https://doi.org/10.1109/..
 
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4

Testing Distributional Assumptions of Learning Algorithms:

Rubinfeld, Ronitt ; Vasilyan, Arsen
https://doi.org/10.1145/3564246.3585117.  , 2023
Link: https://hdl.handle.net/1..
 
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5

Local Lipschitz Filters for Bounded-Range Functions with Ap..:

Lange, Jane ; Linder, Ephraim ; Raskhodnikova, Sofya.
http://arxiv.org/abs/2308.14716.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Agnostic proper learning of monotone functions: beyond the ..:

Lange, Jane ; Vasilyan, Arsen
http://arxiv.org/abs/2304.02700.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Testable Learning with Distribution Shift:

Klivans, Adam R ; Stavropoulos, Konstantinos ; Vasilyan, Arsen
http://arxiv.org/abs/2311.15142.  , 2023
Link: http://arxiv.org/abs/231..
 
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8

An Efficient Tester-Learner for Halfspaces:

Gollakota, Aravind ; Klivans, Adam R ; Stavropoulos, Konstantinos.
http://arxiv.org/abs/2302.14853.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Tester-Learners for Halfspaces: Universal Algorithms:

Gollakota, Aravind ; Klivans, Adam R ; Stavropoulos, Konstantinos.
http://arxiv.org/abs/2305.11765.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Properly learning monotone functions via local reconstructi..:

Lange, Jane ; Rubinfeld, Ronitt ; Vasilyan, Arsen
http://arxiv.org/abs/2204.11894.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

Testing distributional assumptions of learning algorithms:

Rubinfeld, Ronitt ; Vasilyan, Arsen
http://arxiv.org/abs/2204.07196.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Monotone probability distributions over the Boolean cube ca..:

Rubinfeld, Ronitt ; Vasilyan, Arsen
10.4230/LIPIcs.ITCS.2020.28.  , 2021
Link: https://hdl.handle.net/1..
 
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13

Approximating the noise sensitivity of a monotone Boolean f..:

Rubinfeld, Ronitt ; Vasilyan, Arsen
10.4230/LIPIcs.APPROX-RANDOM.2019.52.  , 2021
Link: https://hdl.handle.net/1..
 
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14

Monotone Probability Distributions over the Boolean Cube Ca..:

Rubinfeld, Ronitt ; Vasilyan, Arsen
doi:10.4230/LIPIcs.ITCS.2020.28.  , 2020
Link: https://doi.org/10.4230/..
 
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15

Monotone probability distributions over the Boolean cube ca..:

Rubinfeld, Ronitt ; Vasilyan, Arsen
http://arxiv.org/abs/2002.03415.  , 2020
Link: http://arxiv.org/abs/200..
 
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