Ricardo Silva

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments	2024	Jordan Penn Lee M. Gunderson Gecia Bravo-Hermsdorff Ricardo Silva David Watson
+ PDF Chat	Bounding Causal Effects with Leaky Instruments	2024	David Watson Jordan Penn Lee M. Gunderson Gecia Bravo-Hermsdorff Afsaneh Mastouri Ricardo Silva
+	Pragmatic Fairness: Developing Policies with Outcome Disparity Control	2023	Limor Gultchin Siyuan Guo Alan Malek Silvia Chiappa Ricardo Silva
+	Stochastic Causal Programming for Bounding Treatment Effects	2022	Kirtan Padh Jakob Zeitler David Watson Matt J. Kusner Ricardo Silva Niki Kilbertus
+	The Causal Marginal Polytope for Bounding Treatment Effects	2022	Jakob Zeitler Ricardo Silva
+	Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach	2022	Yuchen Zhu Limor Gultchin Arthur Gretton Matt J. Kusner Ricardo Silva
+ PDF Chat	Locating Eigenvalues of a Symmetric Matrix whose Graph is Unicyclic	2021	Rodrigo O. Braga Virgı́nia M. Rodrigues Ricardo Silva
+	Graph Intervention Networks for Causal Effect Estimation.	2021	Jean Kaddour Qi Liu Yuchen Zhu Matt J. Kusner Ricardo Silva
+	Causal Effect Inference for Structured Treatments	2021	Jean Kaddour Yuchen Zhu Qi Liu Matt J. Kusner Ricardo Silva
+	Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction	2021	Afsaneh Mastouri Yuchen Zhu Limor Gultchin Anna Korba Ricardo Silva Matt J. Kusner Arthur Gretton Krikamol Muandet
+	Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders	2020	Sorawit Saengkyongam Ricardo Silva
+	Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders	2020	Sorawit Saengkyongam Ricardo Silva
+	A Class of Algorithms for General Instrumental Variable Models	2020	Niki Kilbertus Matt J. Kusner Ricardo Silva
+	Causality	2016	Ricardo Silva
+	Observational-Interventional Priors for Dose-Response Learning	2016	Ricardo Silva
+	Methods for Estimating Causal Effects from Observational Data	2015	Ricardo Silva Robin J. Evans
+	Methods for Estimating Causal Effects from Observational Data [R package CausalFX version 1.0.1]	2015	Ricardo Silva Robin J. Evans
+	Causal Inference through a Witness Protection Program	2014	Ricardo Silva Robin J. Evans
+	Flexible sampling of discrete data correlations without the marginal distributions	2013	Freddie Kalaitzis Ricardo Silva
+	Latent Composite Likelihood Learning for the Structured Canonical Correlation Model	2012	Ricardo Silva
+	Bayesian Semiparametric Regression for Autoregressive Models with Possible Unit Roots	2004	Ricardo Silva

Common Coauthors

Coauthor	Papers Together
Matt J. Kusner	6
Yuchen Zhu	3
Robin J. Evans	3
Limor Gultchin	3
David Watson	3
Jordan Penn	2
Arthur Gretton	2
Lee M. Gunderson	2
Afsaneh Mastouri	2
Jakob Zeitler	2
Sorawit Saengkyongam	2
Jean Kaddour	2
Gecia Bravo-Hermsdorff	2
Qi Liu	2
Niki Kilbertus	2
Krikamol Muandet	1
Freddie Kalaitzis	1
Yuchen Zhu	1
Virgı́nia M. Rodrigues	1
Silvia Chiappa	1
Kirtan Padh	1
Alan Malek	1
Rodrigo Orsini Braga	1
Anna Korba	1
Siyuan Guo	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+ PDF Chat	Quasi-oracle estimation of heterogeneous treatment effects	2020	Ximing Nie Stefan Wager	2
+	On the testability of causal models with latent and instrumental variables	1995	Judea Pearl	1
+	<i>BayesX</i>: Analyzing Bayesian Structured Additive Regression Models	2005	Andreas Brezger Thomas Kneib Stefan Lang	1
+	Instrumentality Tests Revisited	2001	Blai Bonet	1
+ PDF Chat	Function estimation with locally adaptive dynamic models	2002	Stefan Lang Eva-Maria Pronk Ludwig Fahrmeir	1
+	Uniform consistency in causal inference	2003	James M. Robins	1
+	Instrumental Variable Estimation of Nonparametric Models	2003	Whitney K. Newey James L. Powell	1
+	On the Asymptotic Properties of Estimators of Models Containing Limited Dependent Variables	1982	Peter M. Robinson	1
+	Locating the Eigenvalues of Trees	2010	David P. Jacobs Vilmar Trevisan	1
+	Causal inference under multiple versions of treatment	2013	Tyler J. VanderWeele Miguel A. Hernán	1
+ PDF Chat	Extending the rank likelihood for semiparametric copula estimation	2007	Peter D. Hoff	1
+	A general identification condition for causal effects	2002	Jin Tian Judea Pearl	1
+ PDF Chat	A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments	2014	Yeying Zhu Donna L. Coffman Debashis Ghosh	1
+	Elliptical slice sampling	2010	Iain Murray Ryan P. Adams David Mackay	1
+	Causal discovery with continuous additive noise models	2014	Jonas Peters Joris M. Mooij Dominik Janzing Bernhard Schölkopf	1
+	Causal diagrams for empirical research	1995	Judea Pearl	1
+ PDF Chat	Estimating high-dimensional intervention effects from observational data	2009	Marloes H. Maathuis Markus Kalisch Peter Bühlmann	1
+	Multiplier and gradient methods	1969	Magnus R. Hestenes	1
+	Bayesian Nonparametric Modeling for Causal Inference	2010	Jennifer Hill	1
+ PDF Chat	Theoretical comparisons of block bootstrap methods	1999	Soumendra N. Lahiri	1
+	Root-N-Consistent Semiparametric Regression	1988	Peter M. Robinson	1
+ PDF Chat	Causes and Explanations: A Structural-Model Approach. Part II: Explanations	2005	Joseph Y. Halpern Judea Pearl	1
+ PDF Chat	Identifiability of Gaussian structural equation models with equal error variances	2013	Jonas Peters Peter Bühlmann	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+	Estimation, Inference and Specification Analysis.	1996	Richard J. Smith Hannah J. White	1
+ PDF Chat	Nonparametric Bounds for the Causal Effect in a Binary Instrumental-Variable Model	2011	Tom Palmer Roland R. Ramsahai Vanessa Didelez Nuala A. Sheehan	1
+	An Introduction to Copulas	1999	Roger B. Nelsen	1
+	Causal inference through a witness protection program	2016	Ricardo Silva Robin J. Evans	1
+ PDF Chat	A General Approach to Serial Correlation	1985	Christian Gouriéroux Alain Monfort Alain Trognon	1
+	Copula Gaussian graphical models and their application to modeling functional disability data	2011	Adrian Dobra Alex Lenkoski	1
+	To Center or Not to Center: That Is Not the Question—An Ancillarity–Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Efficiency	2011	Yaming Yu Xiao‐Li Meng	1
+ PDF Chat	Multivariate Statistical Modelling Based on Generalized Linear Models	1994	Ludwig Fahrmeir Gerhard Tutz	1
+ PDF Chat	On Bayesian routes to unit roots	1991	Peter C. Schotman Herman K. van Dijk	1
+ PDF Chat	Identification of Causal Effects Using Instrumental Variables	1996	Joshua D. Angrist Guido W. Imbens Donald B. Rubin	1
+	Laplacian matrices of graphs: a survey	1994	Russell Merris	1
+	On the Identifiability of the Post-Nonlinear Causal Model	2012	Kun Zhang Aapo Hyvärinen	1
+ PDF Chat	The central role of the propensity score in observational studies for causal effects	1983	Paul R. Rosenbaum Donald B. Rubin	1
+ PDF Chat	Semi-Nonparametric IV Estimation of Shape-Invariant Engel Curves	2007	Richard Blundell Xiaohong Chen Dennis Kristensen	1
+	Semiparametric Principal Component Analysis	2012	Fang Han Han Liu	1
+ PDF Chat	On the completeness of an identifiability algorithm for semi-Markovian models	2008	Yimin Huang Marco Valtorta	1
+ PDF Chat	Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors	2001	Ludwig Fahrmeir Stefan Lang	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	Margins of discrete Bayesian networks	2018	Robin J. Evans	1
+	Spatial Point Processes	2011	Mark Huber	1
+	Estimation of Causal Effects with Multiple Treatments: A Review and New Ideas	2017	Michael J. Lopez Roee Gutman	1
+	Optimal sup-norm rates and uniform inference on nonlinear functionals of nonparametric IV regression	2017	Xiaohong Chen Timothy Christensen	1
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	1
+	Identifying confounders using additive noise models	2009	Dominik Janzing Jonas Peters Joris M. Mooij Bernhard Schölkopf	1