Is pessimism provably efficient for offline rl? Y Jin, Z Yang, Z Wang
International Conference on Machine Learning, 5084-5096, 2021
354 2021 Contemporary symbolic regression methods and their relative performance W La Cava, P Orzechowski, B Burlacu, FO de França, M Virgolin, Y Jin, ...
Proceedings of the Neural Information Processing Systems (Track on Datasets …, 2021
184 2021 Bayesian symbolic regression Y Jin, W Fu, J Kang, J Guo, J Guo
arXiv preprint arXiv:1910.08892, 2019
75 2019 Sensitivity analysis of individual treatment effects: A robust conformal inference approach Y Jin, Z Ren, EJ Candès
Proceedings of the National Academy of Sciences 120 (6), e2214889120, 2023
48 2023 Uncertainty quantification over graph with conformalized graph neural networks K Huang, Y Jin, E Candes, J Leskovec
Advances in Neural Information Processing Systems 36, 2024
19 2024 Policy learning" without''overlap: Pessimism and generalized empirical Bernstein's inequality Y Jin, Z Ren, Z Yang, Z Wang
arXiv preprint arXiv:2212.09900, 2022
16 2022 Selection by prediction with conformal p-values Y Jin, EJ Candès
Journal of Machine Learning Research 24 (244), 1-41, 2023
14 2023 Sensitivity analysis under the Y Jin, Z Ren, Z Zhou
arXiv preprint arXiv:2203.04373, 2022
14 * 2022 Toward optimal variance reduction in online controlled experiments Y Jin, S Ba
Technometrics 65 (2), 231-242, 2023
9 2023 Upper bounds on the Natarajan dimensions of some function classes Y Jin
2023 IEEE International Symposium on Information Theory (ISIT), 1020-1025, 2023
7 2023 Tailored inference for finite populations: conditional validity and transfer across distributions Y Jin, D Rothenhäusler
Biometrika 111 (1), 215-233, 2024
5 * 2024 Diagnosing the role of observable distribution shift in scientific replications Y Jin, K Guo, D Rothenhäusler
arXiv preprint arXiv:2309.01056, 2023
2 2023 Model-free selective inference under covariate shift via weighted conformal p-values Y Jin, EJ Candès
arXiv preprint arXiv:2307.09291, 2023
2 2023 Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage Y Jin, Z Ren
arXiv preprint arXiv:2403.03868, 2024
1 2024 Modular Regression: Improving Linear Models by Incorporating Auxiliary Data Y Jin, D Rothenhäusler
Journal of Machine Learning Research 24 (351), 1-52, 2023
2023 
Zhaoran WangAssistant Professor at Northwestern UniversityEmail confirmado em northwestern.edu
