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Ilyas, Andrew
261  Ergebnisse:
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1

FFCV: Accelerating Training by Removing Data Bottlenecks:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Leclerc, Guillaume ; Ilyas, Andrew ; Engstrom, Logan... - p. 12011-12020 , 2023
Link: https://doi.org/10.1109/..
 
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2

What Makes a Good Fisherman? Linear Regression under Self-S..:

, In: Proceedings of the 55th Annual ACM Symposium on Theory of Computing,
Cherapanamjeri, Yeshwanth ; Daskalakis, Constantinos ; Ilyas, Andrew. - p. 1699-1712 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Estimation of Standard Auction Models:

, In: Proceedings of the 23rd ACM Conference on Economics and Computation,
Cherapanamjeri, Yeshwanth ; Daskalakis, Constantinos ; Ilyas, Andrew. - p. 602-603 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

Constructing and adjusting estimates for household transmis..:

Curmei, Mihaela ; Ilyas, Andrew ; Evans, Owain.
International Journal of Epidemiology.  50 (2021)  5 - p. 1444-1457 , 2021
Link: https://doi.org/10.1093/..
 
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5

FFCV: Accelerating Training by Removing Data Bottlenecks:

Leclerc, Guillaume ; Ilyas, Andrew ; Engstrom, Logan...
http://arxiv.org/abs/2306.12517.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

User Strategization and Trustworthy Algorithms:

Cen, Sarah H ; Ilyas, Andrew ; Madry, Aleksander
http://arxiv.org/abs/2312.17666.  , 2023
Link: http://arxiv.org/abs/231..
 
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7

What Makes a Good Fisherman? Linear Regression under Self-S..:

Cherapanamjeri, Yeshwanth ; Daskalakis, Constantinos ; Ilyas, Andrew.
https://doi.org/10.1145/3564246.3585177.  , 2023
Link: https://hdl.handle.net/1..
 
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8

Raising the Cost of Malicious AI-Powered Image Editing:

Salman, Hadi ; Khaddaj, Alaa ; Leclerc, Guillaume..
http://arxiv.org/abs/2302.06588.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

TRAK: Attributing Model Behavior at Scale:

Park, Sung Min ; Georgiev, Kristian ; Ilyas, Andrew..
http://arxiv.org/abs/2303.14186.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Rethinking Backdoor Attacks:

Khaddaj, Alaa ; Leclerc, Guillaume ; Makelov, Aleksandar...
http://arxiv.org/abs/2307.10163.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Estimation of Standard Auction Models:

Cherapanamjeri, Yeshwanth ; Daskalakis, Constantinos ; Ilyas, Andrew.
http://arxiv.org/abs/2205.02060.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Datamodels: Predicting Predictions from Training Data:

Ilyas, Andrew ; Park, Sung Min ; Engstrom, Logan..
http://arxiv.org/abs/2202.00622.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

What Makes A Good Fisherman? Linear Regression under Self-S..:

Cherapanamjeri, Yeshwanth ; Daskalakis, Constantinos ; Ilyas, Andrew.
http://arxiv.org/abs/2205.03246.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

ModelDiff: A Framework for Comparing Learning Algorithms:

Shah, Harshay ; Park, Sung Min ; Ilyas, Andrew.
http://arxiv.org/abs/2211.12491.  , 2022
Link: http://arxiv.org/abs/221..
 
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15

When does Bias Transfer in Transfer Learning?:

Salman, Hadi ; Jain, Saachi ; Ilyas, Andrew...
http://arxiv.org/abs/2207.02842.  , 2022
Link: http://arxiv.org/abs/220..
 
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