Kristian Georgiev
8 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) πΊοΈ Taxonomy Completionist (26) π Interdisciplinary Bridge
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(13)
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Keyword Collector
(56)
Conferences
NIPS (4)
ICML (3)
ICLR (1)
Top co-authors
Research topics
Keywords
statistical learning
(1)
differential privacy
(1)
stochastic gradient
(1)
adversarial learning
(1)
adversarial robustness
(1)
data poisoning
(1)
policy gradient
(1)
robust statistics
(1)
fourier analysis
(1)
feature attribution
(1)
machine learning fairness
(1)
outlier detection
(1)
gradient descent
(1)
matrix norms
(1)
machine learning security
(1)
matrix regularization
(1)
backdoor attack
(1)
generative model
(1)
random projection
(1)
model-agnostic meta-learning
(1)
Papers
Machine Unlearning via Simulated Oracle Matching
ICLR 2025
ContextCite: Attributing Model Generation to Context
NIPS 2024
Improving Subgroup Robustness via Data Selection
NIPS 2024
TRAK: Attributing Model Behavior at Scale
ICML 2023
Rethinking Backdoor Attacks
ICML 2023
Implicit Bias of Linear Equivariant Networks
ICML 2022
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation
NIPS 2022
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
NIPS 2021