Kristian Georgiev
8 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Machine Learning
(8)
Artificial Intelligence
(6)
Optimization & Theory
(6)
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(5)
Core AI · Artificial Intelligence
(4)
Deep Learning
(3)
Security & Privacy
(2)
Core Methods
(2)
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(2)
Computer Vision
(1)
Natural Language Processing
(1)
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Bayesian & Probabilistic
(1)
Core AI · Computer Vision
(1)
Keywords
data attribution
(2)
differential privacy
(1)
matrix norms
(1)
adversarial learning
(1)
adversarial robustness
(1)
data poisoning
(1)
policy gradient
(1)
robust statistics
(1)
fourier analysis
(1)
machine unlearning
(1)
feature attribution
(1)
machine learning fairness
(1)
outlier detection
(1)
gradient descent
(1)
stochastic gradient
(1)
machine learning security
(1)
matrix regularization
(1)
backdoor attack
(1)
generative model
(1)
statistical learning
(1)
Papers
Machine Unlearning via Simulated Oracle Matching
ICLR 2025
ContextCite: Attributing Model Generation to Context
NeurIPS 2024
Improving Subgroup Robustness via Data Selection
NeurIPS 2024
Rethinking Backdoor Attacks
ICML 2023
TRAK: Attributing Model Behavior at Scale
ICML 2023
Implicit Bias of Linear Equivariant Networks
ICML 2022
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation
NeurIPS 2022
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning
NeurIPS 2021