Insung Kong
7 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Application Areas
(2)
Architectures
(2)
Core AI
(2)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Optimization
(1)
Reasoning
(1)
Keywords
adversarial training
(3)
bayesian neural network
(2)
integral probability metric
(2)
adversarial robustness
(2)
variational inference
(1)
uncertainty quantification
(1)
knowledge distillation
(1)
minimax optimality
(1)
markov chain monte carlo
(1)
posterior inference
(1)
smooth function approximation
(1)
deep neural network
(1)
propensity score
(1)
treatment effect estimation
(1)
approximation theory
(1)
robust risk
(1)
sparse neural network
(1)
demographic parity
(1)
minimax optimal rate
(1)
covariate balancing
(1)
Papers
Posterior Concentrations of Fully-Connected Bayesian Neural Networks with General Priors on the Weights
JMLR 2025
Tensor Product Neural Networks for Functional ANOVA Model
ICML 2025
Covariate balancing using the integral probability metric for causal inference
ICML 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation
ICCV 2023
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
ICML 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
ICML 2023
Learning fair representation with a parametric integral probability metric
ICML 2022