Publications
From core algorithms and theoretical insights to applied systems tackling perception, language, and decision making.
- all
- acceleration
- communication systems
- decision
- dynamic systems
- graph
- hyperbolic
- language
- recommendation system
- science
- systems
- theory
- unlearning
- vision
-
Delving into Instance-Dependent Label Noise in Graph Data: A Comprehensive Study and Benchmark
Knowledge Discovery and Data Mining (KDD)
Suyeon Kim, Seongku Kang, Dongwoo Kim, Jungseul Ok, Hwanjo Yu
-
Optimal Clustering from Noisy Binary Feedback
Machine Learning
Kaito Ariu, Jungseul Ok, Alexandre Proutiere, Seyoung Yun
-
Multi-armed Bandit Algorithm against Strategic Replication
International Conference on Artificial Intelligence and Statistics (AISTATS)
Suho Shin, Seungjoon Lee, Jungseul Ok
-
Reinforcement learning
Alexandre Proutiere, Sadegh Talebi, Jungseul Ok
-
Transfer Learning in Bandits with Latent Continuity
IEEE International Symposium on Information Theory (ISIT)
Hyejin Park, Seiyun Shin, Kwang-Sung Jun, Jungseul Ok