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ORCIDKristian Georgiev
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2020 – today
- 2024
[i8]Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Madry:
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection. CoRR abs/2406.16846 (2024)- [i7]Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Madry:
ContextCite: Attributing Model Generation to Context. CoRR abs/2409.00729 (2024) - [i6]Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel:
Attribute-to-Delete: Machine Unlearning via Datamodel Matching. CoRR abs/2410.23232 (2024) - 2023
- [c5]Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry:
Rethinking Backdoor Attacks. ICML 2023: 16216-16236 - [c4]Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry:
TRAK: Attributing Model Behavior at Scale. ICML 2023: 27074-27113 - [i5]Sung Min Park, Kristian Georgiev
, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry:
TRAK: Attributing Model Behavior at Scale. CoRR abs/2303.14186 (2023) - [i4]Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry:
Rethinking Backdoor Attacks. CoRR abs/2307.10163 (2023) - [i3]Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, Aleksander Madry:
The Journey, Not the Destination: How Data Guides Diffusion Models. CoRR abs/2312.06205 (2023) - 2022
- [c3]Hannah Lawrence, Bobak Toussi Kiani, Kristian G. Georgiev, Andrew K. Dienes:
Implicit Bias of Linear Equivariant Networks. ICML 2022: 12096-12125 - [c2]Kristian Georgiev, Samuel B. Hopkins:
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation. NeurIPS 2022 - [i2]Kristian Georgiev, Samuel B. Hopkins:
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation. CoRR abs/2211.00724 (2022) - 2021
- [c1]Alireza Fallah, Kristian Georgiev, Aryan Mokhtari, Asuman E. Ozdaglar:
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning. NeurIPS 2021: 3096-3107 - [i1]Hannah Lawrence, Kristian Georgiev, Andrew Dienes, Bobak Toussi Kiani:
Implicit Bias of Linear Equivariant Networks. CoRR abs/2110.06084 (2021)
Coauthor Index
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