Georgiev, Kristian

12 publications

ICLR 2025 Machine Unlearning via Simulated Oracle Matching Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel

NeurIPS 2024 ContextCite: Attributing Model Generation to Context Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Mądry

ICMLW 2024 ContextCite: Attributing Model Generation to Context Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Madry

ICMLW 2024 ContextCite: Attributing Model Generation to Context Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Madry

NeurIPS 2024 Improving Subgroup Robustness via Data Selection Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Mądry

NeurIPSW 2023 Better than Balancing: Debiasing Through Data Attribution Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Marzyeh Ghassemi, Aleksander Madry

ICML 2023 Rethinking Backdoor Attacks Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry

ICML 2023 TRAK: Attributing Model Behavior at Scale Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry

ICMLW 2023 The Journey, Not the Destination: How Data Guides Diffusion Models Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, Aleksander Madry

ICML 2022 Implicit Bias of Linear Equivariant Networks Hannah Lawrence, Kristian Georgiev, Andrew Dienes, Bobak T. Kiani

NeurIPS 2022 Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation Kristian Georgiev, Samuel Hopkins

NeurIPS 2021 On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning Alireza Fallah, Kristian Georgiev, Aryan Mokhtari, Asuman Ozdaglar