Dohyun Kwon
8 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
👑
Triple Crown
Venues
Top co-authors
Research topics
Mathematics & Optimization
(5)
Optimization
(5)
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(2)
Optimization & Theory · Deep Learning
(2)
Reinforcement Learning
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Types
(1)
Mathematics
(1)
Methods
(1)
Keywords
bilevel optimization
(3)
optimal transport
(2)
stationary point
(2)
non-convex optimization
(2)
generative model
(2)
first-order method
(2)
wasserstein distance
(2)
diffusion model
(2)
block coordinate descent
(1)
convergence rate
(1)
iteration complexity
(1)
pre-trained model
(1)
energy-based model
(1)
gradient estimator
(1)
score-based diffusion
(1)
score-based generative model
(1)
relu network
(1)
first-order algorithm
(1)
momentum estimation
(1)
proximal regularization
(1)
Papers
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
ICML 2025
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
NeurIPS 2024
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
UAI 2024
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
ICLR 2024
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization
ICML 2024
A Fully First-Order Method for Stochastic Bilevel Optimization
ICML 2023
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
ICML 2023
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
NeurIPS 2022