Luís Cavique

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All published works

Action	Title	Year	Authors
+	Causal Machine Learning in Social Impact Assessment	2023	Nuno Castro Lopes Luís Cavique
+	Causality	2023	Luís Cavique
+ PDF Chat	Telco Customer Churn Analysis: Measuring the Effect of Different Contracts	2022	Paulo Pinheiro Luís Cavique
+ PDF Chat	CLIQUE COMMUNITIES IN SOCIAL NETWORKS	2015	Luís Cavique Armando􀀁 B. Mendes Jorge Ma Santos
+ PDF Chat	A heuristic for the stability number of a graph based on convex quadratic programming and tabu search	2009	Luís Cavique Carlos J. Luz

Common Coauthors

Coauthor	Papers Together
Paulo Pinheiro	1
Armando􀀁 B. Mendes	1
Carlos J. Luz	1
Nuno Castro Lopes	1
Jorge Ma Santos	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	2
+ PDF Chat	Causal Inference for Statistics, Social, and Biomedical Sciences	2015	Guido W. Imbens Donald B. Rubin	2
+	The Effect	2021	Nick Huntington‐Klein	2
+	Computational Experience with Stable Set Relaxations	2003	Gerald Gruber Franz Rendl	1
+	Approximating the independence number via theϑ-function	1998	Noga Alon Nabil Kahalé	1
+	An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies	2011	Peter C. Austin	1
+	Causal diagrams for empirical research	1995	Judea Pearl	1
+	An upper bound on the independence number of a graph computable in polynomial-time	1995	Carlos J. Luz	1
+ PDF Chat	Maximum stable set formulations and heuristics based on continuous optimization	2002	Samuel Burer Renato D. C. Monteiro Yin Zhang	1
+	“Waiting for Life to Arrive”: A history of the regression-discontinuity design in Psychology, Statistics and Economics	2007	Thomas D. Cook	1
+	A Robust Gradient Sampling Algorithm for Nonsmooth, Nonconvex Optimization	2005	James V. Burke Adrian S. Lewis Michael L. Overton	1
+	A Convex Quadratic Characterization of the Lovász Theta Number	2005	Carlos J. Luz Alexander Schrijver	1
+	On the Shannon capacity of a graph	1979	László Lovász	1
+	Methods of Descent for Nondifferentiable Optimization	1985	Krzysztof C. Kiwiel	1
+	Approximating Maximum Stable Set and Minimum Graph Coloring Problems with the Positive Semidefinite Relaxation	2001	Steven J. Benson Y. Ye	1
+ PDF Chat	Issues in Outcomes Research: An Overview of Randomization Techniques for Clinical Trials	2008	Minsoo Kang Brian G. Ragan Jae-Hyeon Park	1
+ PDF Chat	Design of Randomized Controlled Trials	2007	Kenneth Stanley	1
+	Estimating causal effects of treatments in randomized and nonrandomized studies.	1974	Donald B. Rubin	1
+	Two numerical methods for optimizing matrix stability	2002	James V. Burke Adrian S. Lewis Michael L. Overton	1
+	Using Propensity Score Matching in Educational Research	2010	Xitao Fan Dana L. Nowell	1
+ PDF Chat	Estimation and Inference of Heterogeneous Treatment Effects using Random Forests	2017	Stefan Wager Susan Athey	1
+	Recursive partitioning for heterogeneous causal effects	2016	Susan Athey Guido W. Imbens	1
+ PDF Chat	Metalearners for estimating heterogeneous treatment effects using machine learning	2019	Sören R. Künzel Jasjeet S. Sekhon Peter J. Bickel Bin Yu	1
+	Comparison of various machine learning algorithms for estimating generalized propensity score	2019	Chunhao Tu	1
+ PDF Chat	Causal Inference and Impact Evaluation	2019	Denis Fougère Nicolas Jacquemet	1
+ PDF Chat	Use of Quasi-Experimental Research Designs in Education Research: Growth, Promise, and Challenges	2020	Maithreyi Gopalan Kelly Ochs Rosinger Jee Bin Ahn	1
+	Uplift Modeling for preventing student dropout in higher education	2020	Diego Olaya Jonathan Vásquez Sebastián Maldonado Jaime Miranda Wouter Verbeke	1
+ PDF Chat	Non-parametric Methods for Doubly Robust Estimation of Continuous Treatment Effects	2016	Edward H. Kennedy Zongming Ma Matthew D. McHugh Dylan S. Small	1
+ PDF Chat	A Second Chance to Get Causal Inference Right: A Classification of Data Science Tasks	2019	Miguel A. Hernán John Hsu Brian C. Healy	1
+ PDF Chat	The role of the propensity score in estimating dose-response functions	2000	Guido W. Imbens	1
+ PDF Chat	Quasi-oracle estimation of heterogeneous treatment effects	2020	Ximing Nie Stefan Wager	1
+ PDF Chat	Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program	2010	Alberto Abadie Alexis Diamond Jens Hainmueller	1
+	Regression-Discontinuity Analysis: An Alternative to the Ex-Post Facto Experiment	2017	Donald L. Thistlewaite Donald T. Campbell	1
+ PDF Chat	Principles and Practice of Explainable Machine Learning	2021	Vaishak Belle Ioannis Papantonis	1
+ PDF Chat	Methods of Descent for Nondifferentiable Optimization	1985	Krzysztof C. Kiwiel	1
+	Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects	2022	Naoufal Acharki Josselin Garnier Antoine Bertoncello Ramiro Lugo	1
+	Causal Machine Learning: A Survey and Open Problems	2022	Jean Kaddour Aengus Lynch Qi Liu Matt J. Kusner Ricardo Silva	1
+ PDF Chat	A Survey on Causal Discovery: Theory and Practice	2022	Alessio Zanga Elif Özkırımlı Fabio Stella	1
+ PDF Chat	Causal Machine Learning and its use for public policy	2023	Michael Lechner	1
+	The Sandwich Theorem	1994	Donald E. Knuth	1
+	How to customize an early start preparatory course policy to improve student graduation success: an application of uplift modeling	2023	Yertai Tanai Kamil Ciftci	1
+	Optimization and Nonsmooth Analysis	1990	Frank H. Clarke	1
+	Statistics and Causal Inference	1986	Paul W. Holland	1