Dohyun Kwon
8 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(5)
π
Triple Crown
Conferences
ICML (4)
NIPS (2)
ICLR (1)
UAI (1)
Top co-authors
Keywords
wasserstein distance
(2)
generative model
(2)
diffusion model
(2)
nonconvex optimization
(1)
maximum entropy
(1)
optimal transport
(1)
inverse reinforcement learning
(1)
gradient descent
(1)
kullback-leibler divergence
(1)
block coordinate descent
(1)
bilevel optimization
(1)
convergence rate
(1)
iteration complexity
(1)
energy-based model
(1)
gradient estimator
(1)
first-order method
(1)
score-based diffusion
(1)
score-based generative model
(1)
momentum estimation
(1)
dictionary learning
(1)
Papers
Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
ICML 2025
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization
ICML 2024
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
ICLR 2024
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models
NIPS 2024
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
UAI 2024
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
ICML 2023
A Fully First-Order Method for Stochastic Bilevel Optimization
ICML 2023
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance
NIPS 2022