GENERAL TRANSPORTABILITY OF SOFT INTERVENTIONS: COMPLETENESS RESULTS

von Correa, Juan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 14 of 27 (2021)

Causal Identification with Matrix Equations

von Lee, Sanghack
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 12 of 36 (2022)

NEAR-OPTIMAL REINFORCEMENT LEARNING IN DYNAMIC TREATMENT REGIMES

von Zhang, Junzhe
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 17 of 20 (2020)

DESIGNING OPTIMAL DYNAMIC TREATMENT REGIMES: A CAUSAL REINFORCEMENT LEARNING APPROACH

von Zhang, Junzhe
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 15 of 15 (2021)

Causal fairness analysis : a causal toolkit for fair machine learning

von Plecko, Drago
Veröffentlicht 2024

Online Reinforcement Learning for Mixed Policy Scopes

von Zhang, Junzhe
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 5 of 50 (2023)

Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe

von Lee, Sanghack
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 11 of 27 (2021)

CAUSAL EFFECT IDENTIFIABILITY UNDER PARTIAL-OBSERVABILITY

von Lee, Deere Sanghack
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 8 of 15 (2021)

EFFICIENT IDENTIFICATION IN LINEAR STRUCTURAL CAUSAL MODELS WITH INSTRUMENTAL CUTSETS

von Kumor, Daniel
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 16 of 20 (2020)

Finding and Listing Front-door Adjustment Sets

von Jeong, Hyunchai
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 43 of 50 (2023)

Sequential Causal Imitation Learning with Unobserved Confounders

von Kumor, Daniel
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)

Learning Causal Effects via Weighted Empirical Risk Minimization

von Jung, Yonghan
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 16 of 27 (2021)

CAUSAL IMITATION LEARNING WITH UNOBSERVED CONFOUNDERS

von Zhang, Junzhe
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 15 of 27 (2021)

Partial Counterfactual Identification from Observational and Experimental Data

von Zhang, Junzhe
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 32 of 33 (2023)

Nested Counterfactual Identification from Arbitrary Surrogate Experiments

von Correa, Juan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 9 of 36 (2022)

Double Machine Learning Density Estimation for Local Treatment Effects with Instruments

von Jung, Yonghan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 26 of 36 (2022)

IDENTIFICATION OF CONDITIONAL CAUSAL EFFECTS UNDER MARKOV EQUIVALENCE

von Jaber, Amin
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 15 of 20 (2020)

ESTIMATING IDENTIFIABLE CAUSAL EFFECTS ON MARKOV EQUIVALENCE CLASS THROUGH DOUBLE MACHINE LEARNING

von JUNG, YONGHAN
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness

von Jaber, Amin
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 6 of 50 (2023)

The Causal-Neural Connection: Expressiveness, Learnability, and Inference

von Xia, Kevin
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 13 of 36 (2022)