Hyokun Yun

According to our database1, Hyokun Yun authored at least 24 papers between 2011 and 2024.

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Bibliography

2024
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment.
CoRR, 2024

Robust Multi-Task Learning with Excess Risks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Evolutionary Contrastive Distillation for Language Model Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Threshold-aware Learning to Generate Feasible Solutions for Mixed Integer Programs.
CoRR, 2023

2022
MICO: Selective Search with Mutual Information Co-training.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone.
CoRR, 2021

2020
Tiering as a Stochastic Submodular Optimization Problem.
CoRR, 2020

2019
Scaling Multinomial Logistic Regression via Hybrid Parallelism.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Robustness to Capitalization Errors in Named Entity Recognition.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2017
Deep Active Learning for Named Entity Recognition.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression.
CoRR, 2016

Nomadic Computing for Big Data Analytics.
Computer, 2016

WordRank: Learning Word Embeddings via Robust Ranking.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
A Scalable Asynchronous Distributed Algorithm for Topic Modeling.
Proceedings of the 24th International Conference on World Wide Web, 2015

2014
NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion.
Proc. VLDB Endow., 2014

Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data.
CoRR, 2014

Distributed Stochastic Optimization of the Regularized Risk.
CoRR, 2014

Ranking via Robust Binary Classification.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion.
CoRR, 2013

2012
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process
CoRR, 2012

How to filter out random clickers in a crowdsourcing-based study?
Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors, 2012

2011
Using Logistic Regression to Analyze the Balance of a Game: The Case of StarCraft II
CoRR, 2011


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