Alexander Wei
7 papers · 2020–2024 · 2 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π Conference Polyglot Β· Bronze π§ Keyword Pioneer
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Keyword Trendsetter Combo
(3)
π₯
Unstoppable Β· Bronze
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The Questioner
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Learning Types
(2)
Optimization
(2)
Resources & Methods
(2)
Reinforcement Learning
(1)
Core Methods
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Paradigms Β· Machine Learning
(1)
Methods
(1)
Keywords
federated learning
(1)
neural tangent kernel
(1)
feature learning
(1)
non-convex optimization
(1)
convex optimization
(1)
kernel regression
(1)
machine learning
(1)
neural representation
(1)
random matrix theory
(1)
multi-armed bandit
(1)
regret bound
(1)
online algorithm
(1)
data heterogeneity
(1)
learning-augmented algorithm
(1)
lower bound
(1)
scaling law
(1)
out-of-distribution detection
(1)
pre-trained representation
(1)
competitive analysis
(1)
machine learning prediction
(1)
Papers
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
ICML 2024
Jailbroken: How Does LLM Safety Training Fail?
NeurIPS 2023
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
ICML 2022
Predicting Out-of-Distribution Error with the Projection Norm
ICML 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
NeurIPS 2022
Learning Equilibria in Matching Markets from Bandit Feedback
NeurIPS 2021
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
NeurIPS 2020