Vincent Ng

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All published works

Action	Title	Year	Authors
+	Reducing subgroup differences in personnel selection through the application of machine learning	2023	Nan Zhang Mo Wang Heng Xu Nick Koenig Louis Hickman Jason Kuruzovich Vincent Ng Kofi Arhin Danielle Wilson Q. Chelsea Song
+ PDF Chat	Developing and evaluating language‐based machine learning algorithms for inferring applicant personality in video interviews	2021	Louis Hickman Rachel Saef Vincent Ng Sang Eun Woo Louis Tay Nigel Bosch

Common Coauthors

Coauthor	Papers Together
Louis Hickman	2
Rachel Saef	1
Danielle Wilson	1
Jason Kuruzovich	1
Q. Chelsea Song	1
Heng Xu	1
Kofi Arhin	1
Louis Tay	1
Sang Eun Woo	1
Leo Alexander	1
Nick Koenig	1
Nan Zhang	1
Mo Wang	1
Chen Tang	1
Nigel Bosch	1
Yesuel Kim	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Train faster, generalize better: Stability of stochastic gradient descent	2015	Moritz Hardt Benjamin Recht Yoram Singer	1
+	Multistage selection strategies: Simulating the effects on adverse impact and expected performance for various predictor combinations.	2009	Deborah M. Finch Bryan Edwards J. Craig Wallace	1
+ PDF Chat	Addendum: Regularization and Variable Selection Via the Elastic Net	2005	Hui Zou Trevor Hastie	1
+ PDF Chat	Certifying and Removing Disparate Impact	2015	Michael Feldman Sorelle A. Friedler John Moeller Carlos Scheidegger Suresh Venkatasubramanian	1
+	EFFICIENCY OF PREDICTION WHEN A REGRESSION EQUATION FROM ONE SAMPLE IS USED IN A NEW SAMPLE	1950	Frederic M. Lord	1
+ PDF Chat	Designing pareto-optimal selection systems: Formalizing the decisions required for selection system development.	2011	Wilfried De Corte Paul R. Sackett Filip Lievens	1
+ PDF Chat	Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems	1998	Indraneel Das J. E. Dennis	1
+	Revival of test bias research in preemployment testing.	2010	Herman Aguinis Steven Andrew Culpepper Charles A. Pierce	1
+	A COMPARISON OF SINGLE SAMPLE AND CROSS‐VALIDATION METHODS FOR ESTIMATING THE MEAN SQUARED ERROR OF PREDICTION IN MULTIPLE LINEAR REGRESSION	1975	Michael W. Browne	1
+	SIGNIFICANCE TESTS AND CONFIDENCE INTERVALS FOR THE ADVERSE IMPACT RATIO	2000	Scott B. Morris RUSSELL E. LOBSENZ	1
+ PDF Chat	Unbiased Estimation of Certain Correlation Coefficients	1958	Ingram Olkin John W. Pratt	1
+ PDF Chat	Multiple Regression and Validity Estimation in One Sample	1978	John G. Claudy	1
+ PDF Chat	The Role of Nonlinear Factor-to-Indicator Relationships in Tests of Measurement Equivalence.	2005	Daniel J. Bauer	1
+	TEST BIAS: PREDICTION OF GRADES OF NEGRO AND WHITE STUDENTS IN INTEGRATED COLLEGES	1968	T. Anne Cleary	1
+ PDF Chat	SMOTE: Synthetic Minority Over-sampling Technique	2002	Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Philip Kegelmeyer	1
+ PDF Chat	No free lunch theorems for optimization	1997	David H. Wolpert William G. Macready	1
+	Implementing a Class of Permutation Tests: The<b>coin</b>Package	2008	Torsten Hothorn Kurt Hornik Mark A. van de Wiel Achim Zeileis	1
+	Statistical learning theory for high dimensional prediction: Application to criterion-keyed scale development.	2016	Benjamin P. Chapman Alexander Weiß Paul R. Duberstein	1
+	A New Scalarization Technique and New Algorithms to Generate Pareto Fronts	2017	Regina S. Burachik C. Yalçın Kaya M. M. Rizvi	1
+ PDF Chat	Using Machine Learning to Advance Personality Assessment and Theory	2018	Wiebke Bleidorn Christopher J. Hopwood	1
+ PDF Chat	Learning Gender-Neutral Word Embeddings	2018	Jieyu Zhao Yichao Zhou Zeyu Li Wei Wang Kai-Wei Chang	1
+ PDF Chat	Discrimination in the Age of Algorithms	2018	Jon Kleinberg Jens Ludwig Sendhil Mullainathan Cass R. Sunstein	1
+	Mitigating Unwanted Biases with Adversarial Learning	2018	Brian Hu Zhang Blake Lemoine Margaret Mitchell	1
+ PDF Chat	A comparative study of fairness-enhancing interventions in machine learning	2019	Sorelle A. Friedler Carlos Scheidegger Suresh Venkatasubramanian Sonam Choudhary Evan P. Hamilton Derek Roth	1
+ PDF Chat	Techniques for interpretable machine learning	2019	Mengnan Du Ninghao Liu Xia Hu	1
+	Addressing the so-called validity–diversity trade-off: Exploring the practicalities and legal defensibility of Pareto-optimization for reducing adverse impact within personnel selection	2020	Deborah E. Rupp Q. Chelsea Song Nicole Strah	1
+	A comprehensive examination of the cross-validity of pareto-optimal versus fixed-weight selection systems in the biobjective selection context.	2021	Wilfried De Corte Filip Lievens Paul R. Sackett	1
+	On the assessment of predictive bias in selection systems with multiple predictors.	2021	Jeffrey A. Dahlke Paul R. Sackett	1
+	Contributions to Probability and Statistics.	1962	W. R. Buckland Harold Hotelling Ingram Olkin	1
+ PDF Chat	A Conceptual Framework for Investigating and Mitigating Machine-Learning Measurement Bias (MLMB) in Psychological Assessment	2022	Louis Tay Sang Eun Woo Louis Hickman Brandon M. Booth Sidney K. D’Mello	1
+	Dropping the GRE, keeping the GRE, or GRE-optional admissions? Considering tradeoffs and fairness	2022	Daniel A. Newman Chen Tang Q. Chelsea Song Serena Wee	1
+	Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals	2018	Andrew Cotter Heinrich Jiang Serena Wang Taman Narayan Maya R. Gupta Seungil You Karthik Sridharan	1