Subaybayan
Yuri Resende Fonseca
Yuri Resende Fonseca
PhD candidate, Graduate School of Business, Columbia University
Na-verify na email sa gsb.columbia.edu
Pamagat
Sinipi ni
Sinipi ni
Taon
Boost: Boosting smooth trees for partial effect estimation in nonlinear regressions
Y Fonseca, M Medeiros, G Vasconcelos, A Veiga
arXiv preprint arXiv:1808.03698, 2018
182018
Modeling of the influence of chemical composition, sintering temperature, density, and thickness in the light transmittance of four zirconia dental prostheses
YR Fonseca, CN Elias, SN Monteiro, HES Dos Santos, C Dos Santos
Materials 12 (16), 2529, 2019
172019
ArCo: An R package to Estimate Artificial Counterfactuals.
YR Fonseca, RM Prates, MC Medeiros, GFR Vasconcelos
R J. 10 (1), 91, 2018
152018
Contextual Inverse Optimization: Offline and Online Learning
O Besbes, Y Fonseca, I Lobel
Operations Research, 2023
122023
Relação entre os parâmetros de rugosidade 3D e a molhabilidade do titânio com grãos micrométricos e sub-micrométricos
GB Leite, YR Fonseca, AV Gomes, CN Elias
Matéria (Rio de Janeiro) 25, e-12655, 2020
102020
Signaling competition in two-sided markets
O Besbes, Y Fonseca, I Lobel, F Zheng
Available at SSRN, 2023
32023
Extensiometric analysis of strain in craniofacial bones during implant-supported palatal expansion
CN Elias, DJ Fernandes, DS Zanivan, YR Fonseca
Journal of the Mechanical Behavior of Biomedical Materials 76, 104-109, 2017
32017
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
YR Fonseca, YF Saporito
Advances in Neural Information Processing Systems 2022, 2022
22022
Caracterização das ligas Ti-43Nb e Ti-30Nb-8Zn
YR FONSECA
Ministério da Defesa, Exército Brasileiro, Departamento de ciência e …, 2016
22016
Relationship between 3D surface roughness parameters and wettability in titanium with micrometric and sub-micrometric grains sizes Gustavo Boehmer Leite 1, Yuri Resende Fonseca
GB Leite, YR Fonseca, AV Gomes, CN Elias
Matéria (Rio de Janeiro) 25, e-12655, 2020
12020
Constrained Learning for Causal Inference and Semiparametric Statistics
TT Cai, Y Fonseca, K Hou, H Namkoong
arXiv preprint arXiv:2405.09493, 2024
2024
Constrained Learning for Causal Inference and Semiparametric Statistics
T Tianhui Cai, Y Fonseca, K Hou, H Namkoong
arXiv e-prints, arXiv: 2405.09493, 2024
2024
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
Y Fonseca, C Peixoto, Y Saporito
arXiv preprint arXiv:2402.05639, 2024
2024
Online Learning from Optimal Actions
O Besbes, Y Fonseca, I Lobel
Conference on Learning Theory, 586-586, 2021
2021
Tree-Based Model for Estimating the Local Volatility Surface
YR Fonseca
2018
BooST: BOOSTING SMOOTH TRANSITION REGRESSION TREES FOR PARTIAL EFFECT ESTIMATION IN NONLINEAR REGRESSIONS
YR Fonseca, MC Medeiros, GFR Vasconcelos, A Veiga
COBEM-2017-1016 MECHANICAL PROPERTIES OF Ti-47Nb AND Ti-30Nb-8Zr ALLOYS
E dos Santos Monteiro, YF Resende, ACC de Almeida, DJ Fernandes, ...
MODELAGEM NÃO PARAMÉTRICA DAS PROPRIEDADES DA ZIRCÔNIA
YR FONSECA
Hindi magawa ngayon ng system ang pagtakbo. Pakisubukan muli sa ibang pagkakataon.
Mga Artikulo 1–18