Julia Kempe
15 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (27) π Cross-Pollinator (7) π§ Keyword Pioneer
π
Conference Polyglot
(5)
π
Triple Crown
π
Century Club
(15)
β‘
Prolific Year
(8)
β
The Questioner
Conferences
ICLR (5)
NIPS (5)
ICML (3)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
adversarial robustness
(2)
neural network
(2)
statistical learning
(2)
learning theory
(1)
reward modeling
(1)
domain generalization
(1)
statistical learning theory
(1)
bayesian inference
(1)
generative model
(1)
attention mechanism
(1)
preference alignment
(1)
subpopulation shift
(1)
neural network optimization
(1)
theoretical analysis
(1)
empirical risk minimization
(1)
reinforcement learning from human feedback
(1)
generalization error
(1)
high-dimensional regression
(1)
statistical analysis
(1)
neural tangent kernel
(1)
Papers
DRoP: Distributionally Robust Data Pruning
ICLR 2025
Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
ICLR 2025
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification
ICLR 2025
Strong Model Collapse
ICLR 2025
PILAF: Optimal Human Preference Sampling for Reward Modeling
ICML 2025
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
AISTATS 2024
Embarrassingly Simple Dataset Distillation
ICLR 2024
A Tale of Tails: Model Collapse as a Change of Scaling Laws
ICML 2024
Deconstructing the Goldilocks Zone of Neural Network Initialization
ICML 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
NIPS 2024
Model Collapse Demystified: The Case of Regression
NIPS 2024
The Price of Implicit Bias in Adversarially Robust Generalization
NIPS 2024
Iteration Head: A Mechanistic Study of Chain-of-Thought
NIPS 2024
Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity
JMLR 2023
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
NIPS 2022