Browse "School of Computing(전산학부)" by Author Yang, Eunho
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| Adaptive AutoAugment = 적응형 자동 데이터 증강link Baek, Yongsu; Yang, Eunho; et al, 한국과학기술원, 2021 |
| Closed-form Estimators for High-dimensional Generalised Linear Models Yang, Eunho; Lozano, Aurelie; Ravikumar, Pradeep, Advances in Neural Information Processing Systems (NIPS) 28, Neural Information Processing Systems Foundation, 2015-12-07 |
| Conditional Random Fields via Univariate Exponential Families Yang, Eunho; Ravikumar, Pradeep; Allen, Genevera; Liu, Zhandong, Advances in Neural Information Processing Systems (NIPS) 26, NIPS Foundation Inc., 2013-12-05 |
| Deep Asymmetric Multi-task Feature Learning Lee, Haebeom; Yang, Eunho; Hwang, Sung Ju, Thirty-fifth International Conference on Machine Learning, International Machine Learning Society (IMLS), 2018-07-12 |
| Deep generative classifiers for crowdsourced multiple annotator data = 크라우드소싱된 복수 주석자 데이터를 위한 심층 생성적 분류기link Yang, Juneyong; Yang, Eunho; et al, 한국과학기술원, 2019 |
| Deep mixed effect model using gaussian processes : a personalized and reliable prediction for healthcare = 가우시안 프로세스를 이용한 심층 혼합 효과 모델 : 의료 분야에서 신뢰 가능하고 개인화된 예측link Chung, Ingyo; Yang, Eunho; et al, 한국과학기술원, 2020 |
| Dirty Statistical Models Yang, Eunho; Ravikumar, Pradeep, Advances in Neural Information Processing Systems (NIPS) 26, NIPS Foundation Inc., 2013-12-05 |
| Elementary Estimators for Graphical Models Yang, Eunho; Lozano, Aurelie; Ravikumar, Pradeep, Advances in Neural Information Processing Systems (NIPS) 27, Neural Information Processing Systems Foundation, 2014-12-08 |
| Elementary Estimators For High-dimensional Linear Regression Yang, Eunho; Lozano, Aurelie; Ravikumar, Pradeep, International Conference on Machine learning (ICML) 31, International Machine Learning Society (IMLS), 2014-06-21 |
| Elementary Estimators for Sparse Covariance Matrices and Other Structured Moments Yang, Eunho; Lozano, Aurelie; Ravikumar, Pradeep, International Conference on Machine learning (ICML) 31, International Machine Learning Society (IMLS), 2014-06-21 |
| Graphical Models via Generalized Linear Models Yang, Eunho; Ravikumar, Pradeep; Allen, Genevera; Liu, Zhandong, Advances in Neural Information Processing Systems (NIPS) 25, NIPS Foundation Inc., 2012-12-07 |
| Joint active feature acquisition and classification with variable-size set encoding = 가변 크기 집합의 인코딩을 이용한 동적 피쳐 획득과 분류의 공동 학습link Shim, Hajin; Yang, Eunho; et al, 한국과학기술원, 2019 |
| Learning Task Structure Via Sparsity Grouped Multitask Learning Kshirsagar, Meghana; Yang, Eunho; Lozano, Aurelie, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2017-09-19 |
| Leveraging imperfect grouping and partial support sharing in multitask learning = 태스크의 불완전한 그룹화와 서포트 부분 공유를 이용한 멀티 태스크 학습link Hong, Youngki; Yang, Eunho; et al, 한국과학기술원, 2019 |
| Lifelong Learning with Dynamically Expandable Network Yoon, JaeHong; Lee, Jeongtae; Yang, Eunho; Hwang, Sung Ju, International Conference on Learning Representations, International Conference on Learning Representations, 2018-04-30 |
| Lifelong Learning with Dynamically Expandable Networks Yoon, Jaehong; Yang, Eunho; Lee, Jungtae; Hwang, Sung Ju, Sixth International Conference on Learning Representations, ICLR, 2018-05-01 |
| Mixed Graphical Models via Exponential Families Yang, Eunho; Baker, Yullia; Ravikumar, Pradeep; Allen, Genevera; Liu, Zhandong, International Conference on Artificial Intelligence and Statistics (AISTATS) 17, AISTATS Committee, 2014-04-22 |
| Modeling retrosynthesis via multi-decoder transformer with set invariant loss = 멀티 디코더 트랜스포머와 집합 불변 손실함수를 이용한 역합성 모델링link Chung, Wonjun; Yang, Eunho; et al, 한국과학기술원, 2020 |
| Monotonic multihead attention via mutually activating heads for online automatic speech recognition = 모노토닉 멀티헤드 어텐션의 헤드-싱크로너스 디코딩 학습을 통한 실시간 음성인식 기법link Song, Jaeyun; Yang, Eunho; et al, 한국과학기술원, 2021 |
| On Poisson Graphical Models Yang, Eunho; Allen, Genevera; Liu, Zhandong; Ravikumar, Pradeep, Advances in Neural Information Processing Systems (NIPS) 26, NIPS Foundation Inc., 2013-12-05 |
| On Robust Estimation of High-dimensional Generalized Linear Models Yang, Eunho; Tewari, Ambuj; Ravikumar, Pradeep, International Joint Conference on Artificial Intelligence (IJCAI) 13, IJCAI, 2013-08-03 |
| On the NDCG Consistency of Listwise Ranking Methods Ravikumar, Pradeep; Tewari, Ambuj; Yang, Eunho, International Conference on Artificial Intelligence and Statistics, AISTATS, 2011-04-11 |
| On the Use of Variational Inference for Learning Discrete Graphical Models Yang, Eunho; Ravikumar, Pradeep, International Conference on Machine Learning (ICML), The International Machine Learning Society, 2011-06-28 |
| Perturbation Based Large Margin Approach for Ranking Yang, Eunho; Tewari, Ambuj; Ravikumar, Pradeep, International Conference on Artificial Intelligence and Statistics (AISTATS), AISTATS, 2012-04-21 |
| Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso Yang, Eunho; Lozano, Aurelie, Advances in Neural Information Processing Systems (NIPS) 28, Neural Information Processing Systems Foundation, 2015-12-07 |
| Trimming the $l_1$ regularizer : statistical analysis, optimization, and applications to deep learning = 가지친 $l_1$ 정규화 : 통계적 이론 분석, 최적화, 그리고 딥러닝 문제에 대한 적용 방법link Yun, Jihun; Yang, Eunho; et al, 한국과학기술원, 2020 |
| Why not to use zero imputation? correcting sparsity bias in training neural networks = 제로 임퓨테이션의 희소성 편향 보정을 통한 인공 신경망의 누락 데이터 처리link Yi, Joonyoung; Yang, Eunho; et al, 한국과학기술원, 2020 |
| XMRF: an R Package to Fit Markov Networks to High-throughput Genetics Data Wan, YW; Baker, Yullia; Yang, Eunho; Ravikumar, Pradeep; Liu, Zhandong; Allen, Genevera, International Conference on Intelligent Biology and Medicine (ICIBM 2015), ICIBM, 2015-11-13 |
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