Dogyoon Song
7 papers · 2016–2024 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(2)
Deep Learning
(2)
Learning Types
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Generation
(1)
Keywords
model compression
(2)
matrix estimation
(2)
principal component regression
(2)
matrix completion
(2)
low-rank approximation
(2)
high-dimensional statistics
(1)
neural network optimization
(1)
matrix factorization
(1)
generalization error
(1)
nonparametric regression
(1)
high-dimensional regression
(1)
linear regression
(1)
sample complexity
(1)
low-rank matrix
(1)
mean squared error
(1)
sampling efficiency
(1)
u-net architecture
(1)
training efficiency
(1)
probability calibration
(1)
collaborative filtering
(1)
Papers
Efficient Low-Dimensional Compression of Overparameterized Models
AISTATS 2024
Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture
CVPR 2024
Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation
NeurIPS 2023
Minimum-Risk Recalibration of Classifiers
NeurIPS 2023
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
NeurIPS 2020
On Robustness of Principal Component Regression
NeurIPS 2019
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering
NeurIPS 2016