Hyokun Yun

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 17

Top Topics

Traveling Salesman

Multinomial Logistic Regression

Named Entity Recognition

Annotated Corpus

Top Venues

Proc. VLDB Endow.

Publications

Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao
Robust Multi-Task Learning with Excess Risks. CoRR (2024)
Qizhang Feng, Siva Rajesh Kasa, Hyokun Yun, Choon Hui Teo, Sravan Babu Bodapati
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment. CoRR (2024)
Taehyun Yoon, Jinwon Choi, Hyokun Yun, Sungbin Lim
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs. CoRR (2023)
Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi
MICO: Selective Search with Mutual Information Co-training. COLING (2022)
Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi
MICO: Selective Search with Mutual Information Co-training. CoRR (2022)
Aigerim Bogyrbayeva, Taehyun Yoon, Hanbum Ko, Sungbin Lim, Hyokun Yun, Changhyun Kwon
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone. CoRR (2021)
Hyokun Yun, Michael Froh, Roshan Makhijani, Brian Luc, Alex Smola, Trishul Chilimbi
Tiering as a Stochastic Submodular Optimization Problem. CoRR (2020)
Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
Scaling Multinomial Logistic Regression via Hybrid Parallelism. KDD (2019)
Sravan Babu Bodapati, Hyokun Yun, Yaser Al-Onaizan
Robustness to Capitalization Errors in Named Entity Recognition. W-NUT@EMNLP (2019)
Sravan Babu Bodapati, Hyokun Yun, Yaser Al-Onaizan
Robustness to Capitalization Errors in Named Entity Recognition. CoRR (2019)
Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar
Deep Active Learning for Named Entity Recognition. ICLR (Poster) (2018)
Yanyao Shen, Hyokun Yun, Zachary C. Lipton, Yakov Kronrod, Animashree Anandkumar
Deep Active Learning for Named Entity Recognition. CoRR (2017)
Shin Matsushima, Hyokun Yun, Xinhua Zhang, S. V. N. Vishwanathan
Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem. ECML/PKDD (1) (2017)
Yanyao Shen, Hyokun Yun, Zachary Chase Lipton, Yakov Kronrod, Animashree Anandkumar
Deep Active Learning for Named Entity Recognition. Rep4NLP@ACL (2017)
Parameswaran Raman, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression. CoRR (2016)
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
Nomadic Computing for Big Data Analytics. Computer 49 (4) (2016)
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan
WordRank: Learning Word Embeddings via Robust Ranking. EMNLP (2016)
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan
WordRank: Learning Word Embeddings via Robust Ranking. CoRR (2015)
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
A Scalable Asynchronous Distributed Algorithm for Topic Modeling. WWW (2015)
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N. Vishwanathan, Inderjit S. Dhillon
A Scalable Asynchronous Distributed Algorithm for Topic Modeling. CoRR (2014)
Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan
Ranking via Robust Binary Classification. NIPS (2014)
Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan
Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data. CoRR (2014)
Shin Matsushima, Hyokun Yun, S. V. N. Vishwanathan
Distributed Stochastic Optimization of the Regularized Risk. CoRR (2014)
Hyokun Yun, Hsiang-Fu Yu, Cho-Jui Hsieh, S. V. N. Vishwanathan, Inderjit S. Dhillon
NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. Proc. VLDB Endow. 7 (11) (2014)
Hyokun Yun, Hsiang-Fu Yu, Cho-Jui Hsieh, S. V. N. Vishwanathan, Inderjit S. Dhillon
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. CoRR (2013)
Hyokun Yun, S. V. N. Vishwanathan
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs. AISTATS (2012)
Sung-Hee Kim, Hyokun Yun, Ji Soo Yi
How to filter out random clickers in a crowdsourcing-based study? BELIV (2012)
Hyokun Yun, S. V. N. Vishwanathan
Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process CoRR (2012)
Hyokun Yun, S. V. N. Vishwanathan
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs CoRR (2011)
Hyokun Yun
Using Logistic Regression to Analyze the Balance of a Game: The Case of StarCraft II CoRR (2011)