Xiaobin Huang

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Monte Carlo Tree Search based Space Transfer for Black-box Optimization	2024	Shixiang Wang Ke Xue Lei Song Xiaobin Huang Chao Qian
+ PDF Chat	Offline Multi-Objective Optimization	2024	Ke Xue Rong-Xi Tan Xiaobin Huang Chao Qian
+ PDF Chat	Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation	2024	Xiaobin Huang Lei Song Ke Xue Chao Qian
+ PDF Chat	GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning	2024	Yaning Zhang Zitong Yu Xiaobin Huang Linlin Shen Jianfeng Ren
+	Many-to-Few Decomposition: Linking R2-Based and Decomposition-Based Multiobjective Efficient Global Optimization Algorithms	2024	Liang Zhao Xiaobin Huang Chao Qian Qingfu Zhang
+	Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation	2023	Xiaobin Huang Lei Song Ke Xue Chao Qian
+	Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization	2022	Lei Song Ke Xue Xiaobin Huang Chao Qian
+	Copyright page	2013	Yan Zhang Xiaobin Huang

Common Coauthors

Coauthor	Papers Together
Ke Xue	5
Chao Qian	4
Lei Song	4
Linlin Shen	1
Yan Zhang	1
Shixiang Wang	1
Zitong Yu	1
Yaning Zhang	1
Jianfeng Ren	1
Liang Zhao	1
Qingfu Zhang	1
Rong-Xi Tan	1
Chao Qian	1
Chao Qian	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Introduction to Nonparametric Estimation	2008	Alexandre B. Tsybakov	1
+	Nonparametric Density Estimation	2012	Geof H. Givens Jennifer A. Hoeting	1
+	A Guide to Sample Average Approximation	2014	Sujin Kim Raghu Pasupathy Shane G. Henderson	1
+	On Rates of Convergence for Stochastic Optimization Problems Under Non–Independent and Identically Distributed Sampling	2008	Tito Homem‐de‐Mello	1
+ PDF Chat	Learning to Optimize via Posterior Sampling	2014	Daniel Russo Benjamin Van Roy	1
+	Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable	2010	Lauren A. Hannah Warren B. Powell David M. Blei	1
+ PDF Chat	Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting	2012	Niranjan Srinivas Andreas Krause Sham M. Kakade Matthias Seeger	1
+	Unscented Bayesian Optimization for Safe Robot Grasping	2016	José Duarte Nogueira Rubén Martínez-Cantín Alexandre Bernardino Lorenzo Jamone	1
+	Neural Architecture Search with Bayesian Optimisation and Optimal Transport	2018	Kirthevasan Kandasamy Willie Neiswanger Jeff Schneider Barnabás Póczos Eric P. Xing	1
+ PDF Chat	Bayesian Optimization with Expensive Integrands	2022	Saul Toscano-Palmerin Peter I. Frazier	1
+	Bayesian Optimization in AlphaGo	2018	Yutian Chen Aja Huang Ziyu Wang Ioannis Antonoglou Julian Schrittwieser David Silver Nando de Freitas	1
+	Stochastic Bandits with Context Distributions	2019	Johannes Kirschner Andreas Krause	1
+	Bayesian optimisation under uncertain inputs	2019	Rafael Oliveira Lionel Ott Fábio Ramos	1
+	Adversarially Robust Optimization with Gaussian Processes	2018	Ilija Bogunovic Jonathan Scarlett Stefanie Jegelka Volkan Cevher	1
+	Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets	2016	Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter	1
+ PDF Chat	A tutorial on kernel density estimation and recent advances	2017	Yen‐Chi Chen	1
+	Distributionally Robust Bayesian Quadrature Optimization	2020	Thanh Nguyen-Tang Sunil Gupta Huong Ha Santu Rana Svetha Venkatesh	1
+	Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization	2020	Lukas P. Fröhlich Edgar D. Klenske Julia Vinogradska Christian Daniel Melanie N. Zeilinger	1
+	Distributionally Robust Bayesian Optimization	2020	Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause	1
+	Bayesian Optimization using Pseudo-Points	2020	Chao Qian Hang Xiong Ke Xue	1
+	Mean-Variance Analysis in Bayesian Optimization under Uncertainty	2020	Shogo Iwazaki I. Yu Ichiro Takeuchi	1
+	Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules	2018	Rafael Gómez‐Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla Jorge Aguilera‐Iparraguirre Timothy Hirzel Ryan P. Adams Alán Aspuru‐Guzik	1
+	Bayesian Optimization of Risk Measures	2020	Sait Cakmak Raul Astudillo Marban Peter I. Frazier Enlu Zhou	1
+	BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization	2019	Maximilian Balandat Brian Karrer Daniel R. Jiang Samuel Daulton Benjamin Letham Andrew Gordon Wilson Eytan Bakshy	1
+	Value-at-Risk Optimization with Gaussian Processes	2021	Quoc Phong Nguyen Zhongxiang Dai Bryan Kian Hsiang Low Patrick Jaillet	1
+ PDF Chat	Multi-Period Trading via Convex Optimization	2017	Stephen Boyd	1
+	Bayesian Optimization for Distributionally Robust Chance-constrained Problem	2022	I. Yu Shion Takeno Masayuki Karasuyama Ichiro Takeuchi	1
+ PDF Chat	Updating Quasi-Newton Matrices with Limited Storage	1980	Jorge Nocedal	1
+	Density Estimation for Statistics and Data Analysis	1987	Khosrow Dehnad Bernard W. Silverman	1
+ PDF Chat	Frameworks and Results in Distributionally Robust Optimization	2022	Hamed Rahimian Sanjay Mehrotra	1
+	A Tutorial on Bayesian Optimization	2018	Peter I. Frazier	1
+	Variance-based regularization with convex objectives	2016	John C. Duchi Hongseok Namkoong	1
+	Multivariate Density Estimation, Theory, Practice, and Visualization	1993	Philip H. Ramsay David W. Scott	1
+	Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization	2022	Lei Song Ke Xue Xiaobin Huang Chao Qian	1
+	Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation	2023	Xiaobin Huang Lei Song Ke Xue Chao Qian	1
+	Convergence Properties of Two-Stage Stochastic Programming	2000	Liyi Dai C. H. Chen John R. Birge	1