Joong-Ho Won
9 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Academic Marathon (6)
π
Interdisciplinary Bridge
π
Cross-Pollinator
(10)
π₯
Unstoppable
(5)
Conferences
ICML (5)
AISTATS (2)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
convex optimization
(3)
representation learning
(2)
statistical inference
(1)
style transfer
(1)
optimal transport
(1)
stochastic approximation
(1)
strongly convex
(1)
primal-dual algorithm
(1)
maximum likelihood estimation
(1)
covariance matrix estimation
(1)
generative model
(1)
convergence rate
(1)
sharpe ratio
(1)
latent space
(1)
confidence interval
(1)
heteroscedastic regression
(1)
linear operator
(1)
risk consistency
(1)
implicit stochastic gradient descent
(1)
asymptotic covariance matrix
(1)
Papers
StrWAEs to Invariant Representations
ICML 2024
$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
ICLR 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
Ornstein Auto-Encoders
IJCAI 2019
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator
AISTATS 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