Joong-Ho Won
9 papers · 2018–2024 · 4 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 (17) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
convex optimization
(3)
representation learning
(2)
generative modeling
(1)
statistical inference
(1)
primal-dual algorithm
(1)
style transfer
(1)
stochastic approximation
(1)
generative model
(1)
strongly convex
(1)
semi-supervised classification
(1)
optimal transport
(1)
maximum likelihood estimation
(1)
conditional independence
(1)
covariance matrix estimation
(1)
stochastic optimization
(1)
latent representation
(1)
convergence rate
(1)
variational autoencoder
(1)
sharpe ratio
(1)
wasserstein distance
(1)
Papers
t^3-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
ICLR 2024
StrWAEs to Invariant Representations
ICML 2024
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert
ICML 2022
Learning from Nested Data with Ornstein Auto-Encoders
ICML 2021
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
ICML 2020
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator
AISTATS 2019
Ornstein Auto-Encoders
IJCAI 2019
Projection onto Minkowski Sums with Application to Constrained Learning
ICML 2019
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization
AISTATS 2018