Learning to Price Homogeneous Data
Keran Chen*, Joon Suk Huh, Kirthevasan Kandasamy, NeurIPS 2024. [PDF]
Publications
You can also find my articles on my Google Scholar profile.
* denotes lead / joint lead author(s).
Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning
Joon Suk Huh*, Kirthevasan Kandasamy, ICML 2024. [PDF]
Bandit Profit-maximization for Targeted Marketing
Joon Suk Huh*, Ellen Vitercik, Kirthevasan Kandasamy, ACM EC 2024. [PDF]
Pool-Search-Demonstrate: Improving Data-wrangling LLMs via better in-context examples
Changho Shin*, Joon Suk Huh*, Elina Choi, NeurIPS 2023 2nd TRL Workshop. [PDF]
Accelerating Variational Quantum Algorithms Using Circuit Concurrency
Salonik Resch*, Anthony Gutierrez, Joon Suk Huh, Srikant Bharadwaj, Yasuko Eckert, Gabriel Loh, Mark Oskin, Swamit Tannu, Preprint, 2021. [PDF]
On The Power of Deep But Naive Partial Label Learning
Junghoon Seo*, Joon Suk Huh*, IEEE ICASSP 2021. [PDF]