Myunghee Cho Paik
10 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (24) π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (5) π Cross-Pollinator (9)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π
Century Club
(10)
Conferences
AAAI (3)
ICML (3)
AISTATS (2)
NIPS (2)
Top co-authors
Keywords
regret bound
(6)
contextual bandit
(5)
thompson sampling
(3)
multi-armed bandit
(2)
doubly robust estimator
(2)
lasso regression
(1)
sparse regression
(1)
anomaly detection
(1)
reconstruction error
(1)
excess risk
(1)
lipschitz continuity
(1)
high-dimensional statistics
(1)
high-dimensional context
(1)
sequential decision
(1)
variance reduction
(1)
data augmentation
(1)
generalized linear model
(1)
contextual pricing
(1)
cox proportional hazard
(1)
adversarial robustness
(1)
Papers
Mixed-Effects Contextual Bandits
AAAI 2024
Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits
AISTATS 2023
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
AAAI 2023
Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
ICML 2023
Doubly Robust Thompson Sampling with Linear Payoffs
NIPS 2021
Kernel-convoluted Deep Neural Networks with Data Augmentation
AAAI 2021
Lipschitz Continuous Autoencoders in Application to Anomaly Detection
AISTATS 2020
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
ICML 2020
Doubly-Robust Lasso Bandit
NIPS 2019
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model
ICML 2019