Eunho Yang

发表

On Poisson Graphical Models

Pradeep Ravikumar, Eunho Yang, Genevera I. Allen, 2013, NIPS.

Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning pdf

Jinwoo Shin, Eunho Yang, Sung Ju Hwang, 2020, NeurIPS.

On Robust Estimation of High Dimensional Generalized Linear Models

Pradeep Ravikumar, Ambuj Tewari, Eunho Yang, 2013, IJCAI.

Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso

Eunho Yang, Aurelie C. Lozano, Eunho Yang, 2015, NIPS.

Federated Continual Learning with Weighted Inter-client Transfer

Eunho Yang, Sung Ju Hwang, Jaehong Yoon, 2020, ICML.

Federated Semi-Supervised Learning with Inter-Client Consistency pdf

Eunho Yang, Sung Ju Hwang, Jaehong Yoon, 2020, ArXiv.

Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding

Eunho Yang, Sung Ju Hwang, Hajin Shim, 2018, NeurIPS.

Asymmetric Multi-task Learning based on Task Relatedness and Confidence

Eunho Yang, Sung Ju Hwang, Giwoong Lee, 2016, ICML.

Selfish retransmission protocol in an IR-UWB system

Eunho Yang, Kwanho Kim, Youngjin Park, 2009, 2009 International Conference on Information Networking.

Cost-effective Interactive Attention Learning with Neural Attention Processes

Eunho Yang, Hyewon Jeong, Sung Ju Hwang, 2020, ICML.

Learning to Sample with Local and Global Contexts in Experience Replay Buffer pdf

Jinwoo Shin, Kimin Lee, Eunho Yang, 2020, ICLR.

An Enhanced Link Adaptation Strategy for IEEE 802.11 Wireless Ad Hoc Networks

Chong-kwon Kim, Jaehyuk Choi, Eunho Yang, 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

Mixed Graphical Models via Exponential Families

Pradeep Ravikumar, Eunho Yang, Genevera I. Allen, 2014, AISTATS.

Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity

Eunho Yang, Aurélie C. Lozano, 2017, ICML.

Federated Continual Learning with Adaptive Parameter Communication pdf

Eunho Yang, Sung Ju Hwang, Jaehong Yoon, 2020, ArXiv.

Ordinal Graphical Models: A Tale of Two Approaches

Pradeep Ravikumar, Eunho Yang, Arun Sai Suggala, 2017, ICML.

Uncertainty-Aware Attention for Reliable Interpretation and Prediction

Eunho Yang, Juho Lee, Saehoon Kim, 2018, NeurIPS.

Graphical models via univariate exponential family distributions

Pradeep Ravikumar, Eunho Yang, Genevera I. Allen, 2013, J. Mach. Learn. Res..

On selfish behavior using asymmetric carrier sensing in IEEE 802.11 wireless networks

Jaehyuk Choi, Eunho Yang, Sunglim Lee, 2008, 2008 33rd IEEE Conference on Local Computer Networks (LCN).

Spectral Approximate Inference pdf

Jinwoo Shin, Eunho Yang, Sejun Park, 2019, ICML.

Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks

Eunho Yang, Sung Ju Hwang, Kwang Joon Kim, 2019, ICLR.

Sequential Local Learning for Latent Graphical Models pdf

Jinwoo Shin, Eunho Yang, Sejun Park, 2017, ArXiv.

Temporal Probabilistic Asymmetric Multi-task Learning

Eunho Yang, Hyewon Jeong, Nguyen Anh Tuan, 2019 .

A Revision of Neural Tangent Kernel-based Approaches for Neural Networks pdf

Kyung-Su Kim, Eunho Yang, Aur'elie C. Lozano, 2020, ArXiv.

Time-Reversal Symmetric ODE Network pdf

Jinwoo Shin, Eunho Yang, Sung Ju Hwang, 2020, NeurIPS.

High-Dimensional Trimmed Estimators: A General Framework for Robust Structured Estimation

Eunho Yang, Aleksandr Aravkin, Aurelie Lozano, 2016, 1605.08299.

Stochastic Gradient Methods with Block Diagonal Matrix Adaptation pdf

Eunho Yang, Aurelie C. Lozano, Jihun Yun, 2019, ICLR 2019.

Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning

Eunho Yang, Saehoon Kim, Yi Yang, 2018, ICLR.

Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout pdf

Eunho Yang, Juho Lee, Saehoon Kim, 2018, 1805.10896.

A General Family of Stochastic Proximal Gradient Methods for Deep Learning pdf

Eunho Yang, Aurelie C. Lozano, Jihun Yun, 2020, ArXiv.

Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare pdf

Eunho Yang, Juho Lee, Saehoon Kim, 2018, ArXiv.

Dirty Statistical Models

Pradeep Ravikumar, Eunho Yang, 2013, NIPS.

Elementary Estimators for Sparse Covariance Matrices and other Structured Moments

Pradeep Ravikumar, Eunho Yang, Aurelie C. Lozano, 2014, ICML.

Stochastic Subset Selection pdf

Eunho Yang, Sung Ju Hwang, Juho Lee, 2020, ArXiv.

DropMax: Adaptive Stochastic Softmax pdf

Eunho Yang, Juho Lee, Sung Ju Hwang, 2017, NIPS 2018.

Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning pdf

Eunho Yang, Sung Ju Hwang, Jaehong Yoon, 2020, ArXiv.

Meta Dropout: Learning to Perturb Latent Features for Generalization

Eunho Yang, Sung Ju Hwang, Hae Beom Lee, 2020, ICLR.

The Bandwidth Feasibility Test Method for Ubiquitous Teleconference on Future Internet

Eunho Yang, Koji Okamura, Sunglim Lee, 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications.

Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties

Ming Yu, Karthikeyan Natesan Ramamurthy, Eunho Yang, 2017, 1710.01788.

Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck pdf

Eunho Yang, Sung Ju Hwang, Sungyub Kim, 2019, ArXiv.

DropMax: Adaptive Variational Softmax

Eunho Yang, Juho Lee, Saehoon Kim, 2017, NeurIPS.

Graphical Models via Generalized Linear Models

Pradeep Ravikumar, Eunho Yang, Genevera I. Allen, 2012, NIPS.

Tele-conference using advanced tool on future IP

Eunho Yang, Koji Okamura, Sunglim Lee, 2009, 2009 International Conference on Information Networking.

Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare

Eunho Yang, Saehoon Kim, Sung Ju Hwang, 2020, AAAI.

Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks pdf

Eunho Yang, Saehoon Kim, Sung Ju Hwang, 2019, ICLR.

Perturbation based Large Margin Approach for Ranking

Pradeep Ravikumar, Ambuj Tewari, Eunho Yang, 2012, AISTATS.

XMRF: an R package to fit Markov Networks to high-throughput genetics data

Pradeep Ravikumar, Eunho Yang, Genevera I. Allen, 2015, bioRxiv.

Conditional Random Fields via Univariate Exponential Families

Pradeep Ravikumar, Eunho Yang, Genevera I. Allen, 2013, NIPS.

Elementary Estimators for Graphical Models

Pradeep Ravikumar, Eunho Yang, Aurelie C. Lozano, 2014, NIPS.

Elementary Estimators for High-Dimensional Linear Regression

Pradeep Ravikumar, Eunho Yang, Aurelie C. Lozano, 2014, ICML.

On the Use of Variational Inference for Learning Discrete Graphical Model

Pradeep Ravikumar, Eunho Yang, 2011, ICML.

Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning pdf

Tuan A. Nguyen, Eunho Yang, Sung Ju Hwang, 2020, AAAI.

Attribution Preservation in Network Compression for Reliable Network Interpretation pdf

Eunho Yang, Sung Ju Hwang, Geondo Park, 2020, NeurIPS.

Learning Task Clusters via Sparsity Grouped Multitask Learning

Eunho Yang, Meghana Kshirsagar, Aurélie C. Lozano, 2017, ECML/PKDD.

Few-shot Visual Reasoning with Meta-analogical Contrastive Learning pdf

Jinwoo Shin, Eunho Yang, Youngsung Kim, 2020, NeurIPS.

On NDCG Consistency of Listwise Ranking Methods

Pradeep Ravikumar, Ambuj Tewari, Eunho Yang, 2011, AISTATS.

Asymmetric multi-task learning based on task relatedness and loss

Eunho Yang, Sung Ju Hwang, Giwoong Lee, 2016, ICML 2016.

Meta Dropout: Learning to Perturb Features for Generalization pdf

Eunho Yang, Sung Ju Hwang, Hae Beom Lee, 2019, ArXiv.

Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning

Eunho Yang, Peng Zheng, Aleksandr Y. Aravkin, 2019, ICML.

Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization pdf

Eunho Yang, Sung Ju Hwang, Jung Hyun Lee, 2019, ArXiv.

ORACLE: Order Robust Adaptive Continual LEarning pdf

Eunho Yang, Saehoon Kim, Sung Ju Hwang, 2019, ArXiv.

Bootstrapping Neural Processes pdf

Yee Whye Teh, Eunho Yang, Yoonho Lee, 2020, NeurIPS.

Neural Complexity Measures pdf

Eunho Yang, Seungjin Choi, Yoonho Lee, 2020, NeurIPS.

XMRF: An R package to Fit Markov Networks to High-Throughput Genetics Data

Pradeep Ravikumar, Eunho Yang, Genevera I. Allen, 2015 .

EIMD: A New Congestion Control for Fast Long-Distance Networks

Chong-kwon Kim, Eunho Yang, Seongho Cho, 2006, ICOIN.

Why pay more when you can pay less?

Eunho Yang, Sung Ju Hwang, Hajin Shim, 2018, BDJ.

Deep Asymmetric Multi-task Feature Learning pdf

Eunho Yang, Sung Ju Hwang, Haebeom Lee, 2017, ICML.

Closed-form Estimators for High-dimensional Generalized Linear Models

Pradeep Ravikumar, Eunho Yang, Aurelie C. Lozano, 2015, NIPS.

FedMix: Approximation of Mixup under Mean Augmented Federated Learning pdf

Eunho Yang, Sung Ju Hwang, Tehrim Yoon, 2021, ICLR.

GTA: Graph Truncated Attention for Retrosynthesis

Jinwoo Shin, Eunho Yang, Hankook Lee, 2021, AAAI.

Online Coreset Selection for Rehearsal-based Continual Learning pdf

Eunho Yang, Divyam Madaan, Sung Ju Hwang, 2021, ArXiv.

Model-Augmented Q-learning pdf

Jinwoo Shin, Eunho Yang, Youngmin Oh, 2021, ArXiv.

Mutually-Constrained Monotonic Multihead Attention for Online ASR

Eunho Yang, Hajin Shim, Jaeyun Song, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning

Jinwoo Shin, Eunho Yang, Sung Ju Hwang, 2021, IJCAI.

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

Eunho Yang, Sung Ju Hwang, Dong Bok Lee, 2021, ICML.

Federated Continual Learning with Weighted Inter-client Transfer

Eunho Yang, Sung Ju Hwang, Jaehong Yoon, 2021, ICML.

Compressed Sensing via Measurement-Conditional Generative Models

Eunho Yang, Jung Hyun Lee, Kyung-Su Kim, 2020, IEEE Access.

A General Framework for Mixed Graphical Models

Pradeep Ravikumar, Eunho Yang, Genevera I. Allen, 2014, 1411.0288.

A review of multivariate distributions for count data derived from the Poisson distribution

Pradeep Ravikumar, Eunho Yang, Genevera I. Allen, 2016, Wiley interdisciplinary reviews. Computational statistics.