Yuxin Sun
8 papers · 2021–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(2)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(8)
Core Methods
(4)
Mathematics & Optimization
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Mathematics
(2)
Optimization & Theory · Deep Learning
(2)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types
(1)
Optimization
(1)
Keywords
statistical query
(4)
lower bound
(3)
moment matching
(2)
stochastic gradient descent
(2)
neural network optimization
(2)
ising model
(2)
total variation distance
(2)
learning rate
(2)
statistical query lower bound
(2)
partial differential equation
(2)
numerical instability
(2)
learning theory
(2)
implicit neural representation
(1)
shape reconstruction
(1)
distribution learning
(1)
robust learning
(1)
relu activation
(1)
exponential family
(1)
deep learning
(1)
gaussian distribution
(1)
Papers
A PDE-based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks
JMLR 2024
SQ Lower Bounds for Learning Mixtures of Linear Classifiers
NeurIPS 2023
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions
NeurIPS 2023
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation
NeurIPS 2023
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models
COLT 2022
SQ Lower Bounds for Learning Single Neurons with Massart Noise
NeurIPS 2022
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
NeurIPS 2022
Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition
COLT 2021