Dennis Frauen

Cituota

	Visi	Nuo 2019
Šaltiniai	118	118
h-rodyklė	5	5
i10-rodyklė	4	4

2022202320247 64 47

Viešas pasiekiamumas

Peržiūrėti viską

3 straipsniai

0 straipsnių

pasiekiami

nepasiekiami

Pagal finansavimo įpareigojimus

Bendraautoriai

Stefan FeuerriegelProfessor, LMU MunichPatvirtintas el. paštas lmu.de
Valentyn MelnychukInstitute of AI in Management, LMU Munich School of ManagementPatvirtintas el. paštas lmu.de
Tobias HattETH ZurichPatvirtintas el. paštas ethz.ch
Jonas SchweisthalPhD Student, LMU MunichPatvirtintas el. paštas lmu.de
Konstantin HessInstitute of AI in Management, LMU Munich School of ManagementPatvirtintas el. paštas lmu.de
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing InstitutePatvirtintas el. paštas ee.ucla.edu
Alicia CurthPhD student, University of CambridgePatvirtintas el. paštas cam.ac.uk
Yuchen MaLMU MunichPatvirtintas el. paštas lmu.de
Fergus ImrieUniversity of California, Los AngelesPatvirtintas el. paštas ucla.edu
Maresa SchröderUniversity of Munich (LMU), Fraunhofer Institute for Cognitive Systems (IKS)Patvirtintas el. paštas lmu.de
Milan KuzmanovicPhD Student, ETH ZurichPatvirtintas el. paštas ethz.ch
Stefan BauerHelmholtz | TUM | CIFARPatvirtintas el. paštas tum.de
Niki KilbertusTechnical University of Munich & Helmholtz MunichPatvirtintas el. paštas tum.de
Isaac KohaneHarvard Medical School, Children's Hospital, Brigham and Women's HospitalPatvirtintas el. paštas hms.harvard.edu

Stebėti

Dennis Frauen

PhD student, LMU Munich

Patvirtintas el. paštas lmu.de - Pagrindinis puslapis

Machine Learning Causal inference Statistics


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Causal Transformer for Estimating Counterfactual Outcomes V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML), 162, 15293-15329, 2022	59	2022
Normalizing Flows for Interventional Density Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Machine Learning (ICML), 2023	14	2023
Estimating individual treatment effects under unobserved confounding using binary instruments D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2023	14	2023
Estimating average causal effects from patient trajectories D Frauen, T Hatt, V Melnychuk, S Feuerriegel AAAI Conference on Artificial Intelligence 37 (6), 7586-7594, 2023	13	2023
Sharp Bounds for Generalized Causal Sensitivity Analysis D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023	6	2023
Bayesian neural controlled differential equations for treatment effect estimation K Hess, V Melnychuk, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2024	3	2024
Reliable Off-Policy Learning for Dosage Combinations J Schweisthal, D Frauen, V Melnychuk, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023	3	2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model V Melnychuk, D Frauen, S Feuerriegel Advances in Neural Information Processing Systems (NeurIPS), 2023	2	2023
Fair off-policy learning from observational data D Frauen, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2303.08516, 2023	2	2023
A Neural Framework for Generalized Causal Sensitivity Analysis D Frauen, F Imrie, A Curth, V Melnychuk, S Feuerriegel, M van der Schaar International Conference on Learning Representations (ICLR), 2024	1	2024
Counterfactual Fairness for Predictions using Generative Adversarial Networks Y Ma, D Frauen, V Melnychuk, S Feuerriegel arXiv preprint arXiv:2310.17687, 2023	1	2023
Causal machine learning for predicting treatment outcomes S Feuerriegel, D Frauen, V Melnychuk, J Schweisthal, K Hess, A Curth, ... Nature Medicine 30 (4), 958-968, 2024		2024
Causal Machine Learning for Cost-Effective Allocation of Development Aid M Kuzmanovic, D Frauen, T Hatt, S Feuerriegel arXiv preprint arXiv:2401.16986, 2024		2024
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework M Schröder, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2024		2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation V Melnychuk, D Frauen, S Feuerriegel International Conference on Learning Representations (ICLR), 2024		2024

Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.

Straipsniai 1–15

Šaltinių per metus

Dubliuoti šaltiniai

Sujungti šaltiniai

Pridėti bendraautoriusBendraautoriai

Stebėti

Cituota

Bendraautoriai