Jie Chen

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All published works

Action	Title	Year	Authors
+	The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models	2024	Junyi Li Jie Chen Ruiyang Ren Xiaoxue Cheng Wayne Xin Zhao Jian‐Yun Nie Ji-Rong Wen
+ PDF Chat	Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study	2022	Alice Liu Linwei Hu Jie Chen Vijay Nair
+	Supervised Machine Learning Techniques: An Overview with Applications to Banking.	2020	Linwei Hu Jie Chen Joel Vaughan Hanyu Yang Kelly Wang Agus Sudjianto Vijayan N. Nair
+ PDF Chat	Online Planner Selection with Graph Neural Networks and Adaptive Scheduling	2020	Tengfei Ma Patrick Ferber Siyu Huo Jie Chen Michael Katz
+	Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP)	2018	Linwei Hu Jie Chen Vijayan N. Nair Agus Sudjianto

Common Coauthors

Coauthor	Papers Together
Linwei Hu	3
Agus Sudjianto	2
Vijayan N. Nair	2
Jian‐Yun Nie	1
Joel Vaughan	1
Alice Liu	1
Ji-Rong Wen	1
Vijay Nair	1
Wayne Xin Zhao	1
Patrick Ferber	1
Siyu Huo	1
Michael Katz	1
Tengfei Ma	1
Junyi Li	1
Xiaoxue Cheng	1
Ruiyang Ren	1
Hanyu Yang	1
Kelly Wang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Predictive learning via rule ensembles	2008	Jerome H. Friedman Bogdan Popescu	2
+ PDF Chat	Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models	2020	Daniel W. Apley Jingyu Zhu	2
+	A new derivative based importance criterion for groups of variables and its link with the global sensitivity indices	2010	I. M. Sobol Sergei Kucherenko	2
+	LOTUS: An Algorithm for Building Accurate and Comprehensible Logistic Regression Trees	2004	Kin-Yee Chan Wei‐Yin Loh	1
+	Derivative based global sensitivity measures and their link with global sensitivity indices	2009	I. M. Sobol Sergei Kucherenko	1
+ PDF Chat	Model-Based Recursive Partitioning	2008	Achim Zeileis Torsten Hothorn Kurt Hornik	1
+	Stochastic gradient boosting	2002	Jerome H. Friedman	1
+ PDF Chat	Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)	2001	Leo Breiman	1
+ PDF Chat	Projection Pursuit Regression	1981	Jerome H. Friedman Werner Stuetzle	1
+	Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates	2001	I. M. Sobol	1
+ PDF Chat	Unbiased Recursive Partitioning: A Conditional Inference Framework	2006	Torsten Hothorn Kurt Hornik Achim Zeileis	1
+ PDF Chat	Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation	2014	Alex Goldstein Adam Kapelner Justin Bleich Emil Pitkin	1
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	1
+	An Exploratory Technique for Investigating Large Quantities of Categorical Data	1980	Gordon V. Kass	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers	2016	Alexander Binder Grégoire Montavon Sebastian Lapuschkin Klaus‐Robert Müller Wojciech Samek	1
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	1
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	1
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	1
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	1
+ PDF Chat	Action Schema Networks: Generalised Policies With Deep Learning	2018	Sam Toyer Felipe Trevizan Sylvie Thiébaux Lexing Xie	1
+	Transparent Model Distillation.	2018	Sarah Tan Rich Caruana Giles Hooker Albert Gordo	1
+	Consistent Individualized Feature Attribution for Tree Ensembles.	2018	Scott Lundberg Gabriel Erion Su‐In Lee	1
+	Explainable Neural Networks based on Additive Index Models	2018	Joel Vaughan Agus Sudjianto Erind Brahimi Jie Chen Vijayan N. Nair	1
+	Learning Single Index Models in Gaussian Space	2018	Rishabh Dudeja Daniel Hsu	1
+	Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning	2018	Xiaoyu Liu Jie Chen Vijayan N. Nair Agus Sudjianto	1
+	Learning Global Additive Explanations for Neural Nets Using Model Distillation	2018	Sarah Tan Rich Caruana Giles Hooker Paul Koch Albert Gordo	1
+	Gated Graph Sequence Neural Networks	2015	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	1
+	"Why Should I Trust You?": Explaining the Predictions of Any Classifier	2016	Marco Túlio Ribeiro Sameer Singh Carlos Guestrin	1
+	A Unified Approach to Interpreting Model Predictions	2017	Scott Lundberg Su‐In Lee	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+ PDF Chat	Distribution-Free Predictive Inference for Regression	2017	Jing Lei Max G’Sell Alessandro Rinaldo Ryan J. Tibshirani Larry Wasserman	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	1
+	XGBoost	2016	Tianqi Chen Carlos Guestrin	1
+ PDF Chat	Adaptive Explainable Neural Networks (Axnns)	2020	Jie Chen Joel Vaughan Vijay Nair Agus Sudjianto	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	1
+	ADADELTA: An Adaptive Learning Rate Method	2012	Matthew D. Zeiler	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	A Review on Global Sensitivity Analysis Methods	2015	Bertrand Iooss Paul Lemaître	1