Christina Baek
10 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (26) π Keyword Champion (2) π Century Club Β· Bronze
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Research topics
Machine Learning
(9)
Optimization & Theory Β· Machine Learning
(8)
Deep Learning
(5)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
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Artificial Intelligence
(1)
Mathematics & Optimization
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Natural Language Processing
(1)
Core AI
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Generation
(1)
Models
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Optimization
(1)
Keywords
distribution shift
(3)
generalization error
(2)
in-distribution accuracy
(2)
representation learning
(2)
model selection
(2)
ensemble learning
(2)
out-of-distribution accuracy
(2)
incremental learning
(1)
feature learning
(1)
continual learning
(1)
model calibration
(1)
test-time adaptation
(1)
logistic regression
(1)
model behavior
(1)
stochastic gradient descent
(1)
gradient descent
(1)
out-of-distribution generalization
(1)
variational inference
(1)
deep learning
(1)
sharpness-aware minimization
(1)
Papers
Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance
ICLR 2025
Theory of Agreement-on-the-Line in Linear Models and Gaussian Data
AISTATS 2025
On the Joint Interaction of Models, Data, and Features
ICLR 2024
Predicting the Performance of Foundation Models via Agreement-on-the-Line
NeurIPS 2024
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
NeurIPS 2024
Why is SAM Robust to Label Noise?
ICLR 2024
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift
NeurIPS 2022
Assessing Generalization of SGD via Disagreement
ICLR 2022
Efficient Maximal Coding Rate Reduction by Variational Forms
CVPR 2022
Incremental Learning via Rate Reduction
CVPR 2021