Posts by Collection

Portfolio item number 1

Portfolio item number 2

On The Power of Deep But Naive Partial Label Learning

Junghoon Seo*, Joon Suk Huh*, IEEE ICASSP 2021. [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]

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]

Bandit Profit-maximization for Targeted Marketing

Joon Suk Huh*, Ellen Vitercik, Kirthevasan Kandasamy, ACM EC 2024. [PDF]

Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning

Joon Suk Huh*, Kirthevasan Kandasamy, ICML 2024. [PDF]

Learning to Price Homogeneous Data

Keran Chen*, Joon Suk Huh, Kirthevasan Kandasamy, NeurIPS 2024. [PDF]

Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

Teaching experience 1

Undergraduate course, University 1, Department, 2014

Teaching experience 2

Workshop, University 1, Department, 2015