Eunshin Byon

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All published works

Action	Title	Year	Authors
+ PDF Chat	Simulation model calibration with dynamic stratification and adaptive sampling	2024	Pranav Jain Sara Shashaani Eunshin Byon
+	Tensor-Based Statistical Learning Methods for Diagnosing Product Quality Defects in Multistage Manufacturing Processes	2024	Cheoljoon Jeong Eunshin Byon Fei He Xiaolei Fang
+ PDF Chat	Simulation Model Calibration with Dynamic Stratification and Adaptive Sampling	2024	Pranav Jain Sara Shashaani Eunshin Byon
+	Distributionally Robust Stratified Sampling for Stochastic Simulations with Multiple Uncertain Input Models	2023	Seung Min Baik Eunshin Byon Young Myoung Ko
+	Robust Simulation Optimization with Stratification	2022	Pranav Jain Eunshin Byon Sara Shashaani
+	Optimal budget allocation for stochastic simulation with importance sampling: Exploration vs. replication	2021	Young Myoung Ko Eunshin Byon
+	Integrative Density Forecast and Uncertainty Quantification of Wind Power Generation	2021	Jingxing Wang Abdullah AlShelahi Mingdi You Eunshin Byon Romesh Saigal
+	The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning	2021	Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung Eunshin Byon Mosharaf Chowdhury Judy Jin Wissam Kontar Neda Masoud Maher Noueihed
+	The Internet of Federated Things (IoFT)	2021	Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung Eunshin Byon Mosharaf Chowdhury Jionghua Jin Wissam Kontar Neda Masoud Maher Nouiehed
+ PDF Chat	Adaptive importance sampling for extreme quantile estimation with stochastic black box computer models	2020	Qiyun Pan Eunshin Byon Young Myoung Ko Henry Lam
+	Uncertainty Quantification for Extreme Quantile Estimation With Stochastic Computer Models	2020	Qiyun Pan Young Myoung Ko Eunshin Byon
+ PDF Chat	Data-driven prediction for volatile processes based on real option theories	2019	Abdullah AlShelahi Jingxing Wang Mingdi You Eunshin Byon Romesh Saigal
+	Integrative Probabilistic Short-term Prediction and Uncertainty Quantification of Wind Power Generation	2018	Jingxing Wang Abdullah AlShelahi Mingdi You Eunshin Byon Romesh Saigal
+	Integrative Density Forecast and Uncertainty Quantification of Wind Power Generation	2018	Jingxing Wang Abdullah AlShelahi Mingdi You Eunshin Byon Romesh Saigal
+	A Collaborative Learning Framework for Estimating Many Individualized Regression Models in a Heterogeneous Population	2017	Ying Lin Kaibo Liu Eunshin Byon Xiaoning Qian Shan Liu Shuai Huang
+	Uncertainty Quantification of Stochastic Simulation for Black-box Computer Experiments	2017	Youngjun Choe Henry Lam Eunshin Byon
+	Reliability Evaluation of Large-Scale Systems With Identical Units	2014	Young Myoung Ko Eunshin Byon
+	Bayesian spline method for assessing extreme loads on wind turbines	2013	Giwhyun Lee Eunshin Byon Lewis Ntaimo Yu Ding

Common Coauthors

Coauthor	Papers Together
Romesh Saigal	6
Young Myoung Ko	5
Mingdi You	4
Abdullah AlShelahi	4
Jingxing Wang	4
Sara Shashaani	3
Pranav Jain	3
Xubo Yue	2
Karandeep Singh	2
Mosharaf Chowdhury	2
Naichen Shi	2
Wissam Kontar	2
Seokhyun Chung	2
Qiyun Pan	2
Zhi‐Sheng Ye	2
Garvesh Raskutti	2
Henry Lam	2
Chinedum E. Okwudire	2
Raed Al Kontar	2
Neda Masoud	2
Maher Nouiehed	1
Yu Ding	1
Giwhyun Lee	1
Lewis Ntaimo	1
Shan Liu	1
Ying Lin	1
Xiaoning Qian	1
Shuai Huang	1
Maher Noueihed	1
Xiaolei Fang	1
Youngjun Choe	1
Kaibo Liu	1
Jionghua Jin	1
Cheoljoon Jeong	1
Seung Min Baik	1
Judy Jin	1
Fei He	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Bayesian spline method for assessing extreme loads on wind turbines	2013	Giwhyun Lee Eunshin Byon Lewis Ntaimo Yu Ding	7
+	Uncertainty Quantification of Stochastic Simulation for Black-box Computer Experiments	2017	Youngjun Choe Henry Lam Eunshin Byon	5
+	Introduction to Derivative-Free Optimization	2009	Andrew R. Conn Katya Scheinberg L. N. Vicente	3
+	Efficient Nested Simulation for Estimating the Variance of a Conditional Expectation	2011	Yunpeng Sun Daniel W. Apley Jeremy Staum	3
+ PDF Chat	Controlled stratification for quantile estimation	2008	Claire Cannamela Josselin Garnier Bertrand Iooss	3
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	3
+	Cross-entropy based importance sampling for stochastic simulation models	2019	Quoc Dung Cao Youngjun Choe	2
+ PDF Chat	Replication or Exploration? Sequential Design for Stochastic Simulation Experiments	2018	Mickaël Binois Jiangeng Huang Robert B. Gramacy Michael Ludkovski	2
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	2
+	PCC: Re-architecting Congestion Control for Consistent High Performance	2014	Dong Mo Qingxi Li Doron Zarchy P. Brighten Godfrey Michael Schapira	2
+	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	2017	Tim Salimans Jonathan Ho Xi Chen Ilya Sutskever	2
+	Meta-SGD: Learning to Learn Quickly for Few-Shot Learning	2017	Zhenguo Li Fengwei Zhou Fei Chen Hang Li	2
+	Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning	2017	Xinyun Chen Chang Liu Bo Li Kimberly Lu Dawn Song	2
+	Entity Resolution and Federated Learning get a Federated Resolution	2018	Richard Nock Stephen Hardy Wilko Henecka Hamish Ivey-Law Giorgio Patrini Guillaume Smith Brian Thorne	2
+	Confidence intervals for quantiles when applying variance-reduction techniques	2012	Fang Chu Marvin K. Nakayama	2
+	Multi-task sparse structure learning with Gaussian copula models	2016	André Gonçalves Fernando J. Von Zuben Arindam Banerjee	2
+ PDF Chat	High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence	2011	Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu	2
+	Asymptotically optimal allocation of stratified sampling with adaptive variance reduction by strata	2010	Reiichiro Kawai	2
+	Statistical Methods for Reliability Data	1998	Wayne Nelson	2
+ PDF Chat	Generalized Additive Models for Location, Scale and Shape	2005	Robert A. Rigby D. M. Stasinopoulos	2
+	Statistical Learning with Sparsity	2015	Trevor Hastie Robert Tibshirani Martin J. Wainwright	2
+	Bayesian Learning via Stochastic Gradient Langevin Dynamics	2011	Max Welling Yee Whye Teh	2
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	2
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	2
+	Consistency of the group Lasso and multiple kernel learning	2007	Francis Bach	2
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	2
+ PDF Chat	Faster least squares approximation	2010	Petros Drineas Michael W. Mahoney S. Muthukrishnan Tamás Sarlós	2
+	Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption	2017	Stephen Hardy Wilko Henecka Hamish Ivey-Law Richard Nock Giorgio Patrini Guillaume Smith Brian Thorne	2
+	Early stopping and non-parametric regression: an optimal data-dependent stopping rule	2014	Garvesh Raskutti Martin J. Wainwright Bin Yu	2
+	Focus: Querying Large Video Datasets with Low Latency and Low Cost	2018	Kevin Hsieh Ganesh Ananthanarayanan Peter Bodík Paramvir Bahl Matthai Philipose Phillip B. Gibbons Onur Mutlu	2
+ PDF Chat	Analysis of Computer Experiments With Functional Response	2013	Ying Hung V. Roshan Joseph Shreyes N. Melkote	2
+	Some inequalities for Gaussian processes and applications	1985	Y. Gordon	2
+	An introduction to numerical methods for stochastic differential equations	1999	Eckhard Platen	2
+	Nonlinear integer programming for optimal allocation in stratified sampling	1999	Kurt M. Bretthauer Anthony Ross Bala Shetty	2
+	Model selection and estimation in the Gaussian graphical model	2007	Ming Yuan Yi Lin	2
+	Degradation Data Analysis Using Wiener Processes With Measurement Errors	2013	Zhi‐Sheng Ye Yu Wang Kwok‐Leung Tsui Michael Pecht	2
+ PDF Chat	Certifying and Removing Disparate Impact	2015	Michael Feldman Sorelle A. Friedler John Moeller Carlos Scheidegger Suresh Venkatasubramanian	2
+	The Numerical Solution of Parabolic and Elliptic Differential Equations	1955	D.W. Peaceman H.H. Rachford	2
+	A Convex Formulation for Learning Task Relationships in Multi-Task Learning	2012	Yu Zhang Dit‐Yan Yeung	2
+ PDF Chat	CUR matrix decompositions for improved data analysis	2009	Michael W. Mahoney Petros Drineas	2
+ PDF Chat	Adaptive Optimal Allocation in Stratified Sampling Methods	2008	Pierre Étoré Benjamin Jourdain	2
+	Cross-entropy-based adaptive importance sampling using Gaussian mixture	2013	Nolan Kurtz Junho Song	2
+ PDF Chat	Robust Energy Management for Microgrids With High-Penetration Renewables	2013	Yu Zhang Nikolaos Gatsis Georgios B. Giannakis	2
+ PDF Chat	Derivative-free optimization: a review of algorithms and comparison of software implementations	2012	Luis Miguel Rios Nikolaos V. Sahinidis	2
+	Composite Gaussian process models for emulating expensive functions	2012	Shan Ba V. Roshan Joseph	2
+	Parallelized Stochastic Gradient Descent	2010	Martin Zinkevich Markus Weimer Lihong Li Alex Smola	2
+	Non- and semiparametric statistics: compared and contrasted	2000	Peter J. Bickel Ya’acov Ritov	2
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	2
+	Extreme quantile estimation with nonparametric adaptive importance sampling	2012	Jérôme Morio	2
+	Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling	2014	Peilin Zhao Tong Zhang	2