Myunghee Cho Paik
10 papers · 2019–2024 · 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
(24)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Learning Types · Machine Learning
(7)
Optimization & Theory
(7)
Mathematics & Optimization
(3)
Application Areas
(3)
Optimization
(3)
Deep Learning
(2)
Architectures
(2)
Core Methods
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Analysis
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
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
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
AAAI 2023
Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model
ICML 2023
Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits
AISTATS 2023
Doubly Robust Thompson Sampling with Linear Payoffs
NeurIPS 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
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model
ICML 2019
Doubly-Robust Lasso Bandit
NeurIPS 2019