Seungki Min

According to our database, Seungki Min authored at least 16 papers between 2007 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

On the Optimality of Tracking Fisher Information in Adaptive Testing with Stochastic Binary Responses.

Sanghwa Kim, Dohyun Ahn, Seungki Min

CoRR, October, 2025

Dynamic Pricing of an Expiring Item under Strategic Buyers with Stochastic Arrival.

Suyeon Choi, Changhyun Kwon, Seungki Min

CoRR, September, 2025

The Competition for Partners in Matching Markets.

Yash Kanoria, Seungki Min, Pengyu Qian

Manag. Sci., 2025

2024

Improving Thompson Sampling via Information Relaxation for Budgeted Multi-armed Bandits.

Woojin Jeong, Seungki Min

RLJ, 2024

Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient.

Ju-Hyun Kim, Seungki Min

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Optimizing Sequential Predictions for Order Execution: a Decision Focused Learning Approach.

Sunmin Kweon, Yonghwan Yim, Seungki Min

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

An Information-Theoretic Analysis of Nonstationary Bandit Learning.

Seungki Min, Daniel Russo

Proceedings of the International Conference on Machine Learning, 2023

2022

Cross-Sectional Variation of Intraday Liquidity, Cross-Impact, and Their Effect on Portfolio Execution.

Seungki Min, Costis Maglaras, Ciamac C. Moallemi

Oper. Res., 2022

2021

In which matching markets does the short side enjoy an advantage?

Yash Kanoria, Seungki Min, Pengyu Qian

Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

2020

Policy Gradient Optimization of Thompson Sampling Policies.

Seungki Min, Ciamac C. Moallemi, Daniel J. Russo

CoRR, 2020

Which Random Matching Markets Exhibit a Stark Effect of Competition?

Yash Kanoria, Seungki Min, Pengyu Qian

CoRR, 2020

2019

Thompson Sampling with Information Relaxation Penalties.

Seungki Min, Costis Maglaras, Ciamac C. Moallemi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2008

Graph Cuts-Based Automatic Color Image Segmentation.

Anjin Park, Jungwhan Kim, Seungki Min, Sungju Yun, Keechul Jung

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

Graph-Cut Based Background Subtraction Using Visual Hull in Multiveiw Images.

Seungki Min, Jungwhan Kim, Anjin Park, Gwangjin Hong, Keechul Jung

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

2007

Simple Glove-Based Korean Finger Spelling Recognition System.

Seungki Min, Sanghyeok Oh, Gyoryeong Kim, Taehyun Yoon, Chungyu Lim, Yunli Lee, Keechul Jung

Proceedings of the Computational Science and Its Applications, 2007

Dynamic Game Level Generation Using On-Line Learning.

JongYeol Yang, Seungki Min, Chee-Onn Wong, Jongin Kim, Keechul Jung

Proceedings of the Technologies for E-Learning and Digital Entertainment, 2007