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− | == 成长经历 == | + | == 获奖经历 == |
− | <nowiki>##</nowiki>还需找其他资料补充一下
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− | | |
| 埃利亚斯·巴伦博伊姆于2016年被 IEEE 评为“人工智能十大新星”之一,并获得 NSF CAREER Award、ONR Young Investigator Award、Dan David Prize Scholarship、AAAI 2014优秀论文奖和UAI 2019最佳论文奖。 | | 埃利亚斯·巴伦博伊姆于2016年被 IEEE 评为“人工智能十大新星”之一,并获得 NSF CAREER Award、ONR Young Investigator Award、Dan David Prize Scholarship、AAAI 2014优秀论文奖和UAI 2019最佳论文奖。 |
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第39行: |
第37行: |
| J. Zhang, J. Tian, E. Bareinboim. | | J. Zhang, J. Tian, E. Bareinboim. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-78)'', Jun, 2021. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-78)'', Jun, 2021. |
| | | |
| '''Effect Identification in Causal Diagrams with Clustered Variables''' | | '''Effect Identification in Causal Diagrams with Clustered Variables''' |
第45行: |
第43行: |
| T. Anand, A. Ribeiro, J. Tian, E. Bareinboim. | | T. Anand, A. Ribeiro, J. Tian, E. Bareinboim. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-77)'', Jun, 2021. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-77)'', Jun, 2021. |
| | | |
| '''The Causal-Neural Connection: Expressiveness, Learnability, and Inference''' | | '''The Causal-Neural Connection: Expressiveness, Learnability, and Inference''' |
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第51行: |
| NeurIPS-21. In ''Proceedings of the 35th Annual Conference on Neural Information Processing Systems'', forthcoming. | | NeurIPS-21. In ''Proceedings of the 35th Annual Conference on Neural Information Processing Systems'', forthcoming. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-80)'', Jun, 2021. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-80)'', Jun, 2021. |
| | | |
| '''Nested Counterfactual Identification from Arbitrary Surrogate Experiments''' | | '''Nested Counterfactual Identification from Arbitrary Surrogate Experiments''' |
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第59行: |
| NeurIPS-21. In ''Proceedings of the 35th Annual Conference on Neural Information Processing Systems'', forthcoming. | | NeurIPS-21. In ''Proceedings of the 35th Annual Conference on Neural Information Processing Systems'', forthcoming. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-79)'', Jun, 2021. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-79)'', Jun, 2021. |
| | | |
| '''Sequential Causal Imitation Learning with Unobserved Confounders''' | | '''Sequential Causal Imitation Learning with Unobserved Confounders''' |
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第67行: |
| NeurIPS-21. In ''Proceedings of the 35th Annual Conference on Neural Information Processing Systems'', forthcoming. | | NeurIPS-21. In ''Proceedings of the 35th Annual Conference on Neural Information Processing Systems'', forthcoming. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-76)'', Jun, 2021. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-76)'', Jun, 2021. |
| | | |
| '''Oral Presentation (<1%, out of 9122 papers).''' | | '''Oral Presentation (<1%, out of 9122 papers).''' |
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第77行: |
| NeurIPS-21. In ''Proceedings of the 35th Annual Conference on Neural Information Processing Systems'', forthcoming. | | NeurIPS-21. In ''Proceedings of the 35th Annual Conference on Neural Information Processing Systems'', forthcoming. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-75)'', Jun, 2021. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-75)'', Jun, 2021. |
| | | |
| '''Spotlight Presentation (<3%, out of 9122 papers).''' | | '''Spotlight Presentation (<3%, out of 9122 papers).''' |
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| NeurIPS-21. In ''Proceedings of the 35th Annual Conference on Neural Information Processing Systems'', forthcoming. | | NeurIPS-21. In ''Proceedings of the 35th Annual Conference on Neural Information Processing Systems'', forthcoming. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-70)'', Jun, 2021. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-70)'', Jun, 2021. |
| | | |
| '''Oral Presentation (<1%, out of 9122 papers).''' | | '''Oral Presentation (<1%, out of 9122 papers).''' |
第99行: |
第97行: |
| OECD-22. Organisation for Economic Co-operation and Development, Volume “AI and the productivity of science”, forthcoming. | | OECD-22. Organisation for Economic Co-operation and Development, Volume “AI and the productivity of science”, forthcoming. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-73)'', Apr, 2022. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-73)'', Apr, 2022. |
| | | |
| '''Non-Parametric Methods for Partial Identification of Causal Effects''' | | '''Non-Parametric Methods for Partial Identification of Causal Effects''' |
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第103行: |
| J. Zhang, E. Bareinboim. | | J. Zhang, E. Bareinboim. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-72)'', Feb, 2021. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-72)'', Feb, 2021. |
| | | |
| '''Estimating Identifiable Causal Effects on Markov Equiv. Class through Double Machine Learning''' | | '''Estimating Identifiable Causal Effects on Markov Equiv. Class through Double Machine Learning''' |
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第111行: |
| ICML-21. In ''Proceedings of the 38th International Conference on Machine Learning'', 2020. | | ICML-21. In ''Proceedings of the 38th International Conference on Machine Learning'', 2020. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-71)'', Feb, 2021. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-71)'', Feb, 2021. |
| | | |
| '''Estimating Identifiable Causal Effects through Double Machine Learning''' | | '''Estimating Identifiable Causal Effects through Double Machine Learning''' |
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第119行: |
| AAAI-21. In ''Proceedings of the 35th AAAI Conference on Artificial Intelligence'', 2021. | | AAAI-21. In ''Proceedings of the 35th AAAI Conference on Artificial Intelligence'', 2021. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-69)'', Dec, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-69)'', Dec, 2020. |
| | | |
| '''Bounding Causal Effects on Continuous Outcomes''' | | '''Bounding Causal Effects on Continuous Outcomes''' |
第129行: |
第127行: |
| AAAI-21. In ''Proceedings of the 35th AAAI Conference on Artificial Intelligence'', 2021. | | AAAI-21. In ''Proceedings of the 35th AAAI Conference on Artificial Intelligence'', 2021. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-61)'', Jun, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-61)'', Jun, 2020. |
| | | |
| === 2020: === | | === 2020: === |
第138行: |
第136行: |
| NeurIPS-20. In ''Proceedings of the 34th Annual Conference on Neural Information Processing Systems''. | | NeurIPS-20. In ''Proceedings of the 34th Annual Conference on Neural Information Processing Systems''. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-68)'', Jun, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-68)'', Jun, 2020. |
| | | |
| '''Causal Discovery from Soft Interventions with Unknown Targets: Characterization & Learning''' | | '''Causal Discovery from Soft Interventions with Unknown Targets: Characterization & Learning''' |
第146行: |
第144行: |
| NeurIPS-20. In ''Proceedings of the 34th Annual Conference on Neural Information Processing Systems''. | | NeurIPS-20. In ''Proceedings of the 34th Annual Conference on Neural Information Processing Systems''. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-67)'', Jun, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-67)'', Jun, 2020. |
| | | |
| '''Causal Imitation Learning with Unobserved Confounders''' | | '''Causal Imitation Learning with Unobserved Confounders''' |
第154行: |
第152行: |
| NeurIPS-20. In ''Proceedings of the 34th Annual Conference on Neural Information Processing Systems''. | | NeurIPS-20. In ''Proceedings of the 34th Annual Conference on Neural Information Processing Systems''. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-66)'', Jun, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-66)'', Jun, 2020. |
| | | |
| '''Oral Presentation (105 out of 9454 papers).''' | | '''Oral Presentation (105 out of 9454 papers).''' |
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第162行: |
| CleaR-22. In ''Proceedings of the 1st Conference on Causal Learning and Reasoning'', forthcoming. | | CleaR-22. In ''Proceedings of the 1st Conference on Causal Learning and Reasoning'', forthcoming. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-64)'', Jun, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-64)'', Jun, 2020. |
| | | |
| '''Characterizing Optimal Mixed Policies: Where to Intervene, What to Observe''' | | '''Characterizing Optimal Mixed Policies: Where to Intervene, What to Observe''' |
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第170行: |
| NeurIPS-20. In ''Proceedings of the 34th Annual Conference on Neural Information Processing Systems''. | | NeurIPS-20. In ''Proceedings of the 34th Annual Conference on Neural Information Processing Systems''. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-63)'', Jun, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-63)'', Jun, 2020. |
| | | |
| '''Learning Causal Effects via Weighted Empirical Risk Minimization''' | | '''Learning Causal Effects via Weighted Empirical Risk Minimization''' |
第180行: |
第178行: |
| NeurIPS-20. In ''Proceedings of the 34th Annual Conference on Neural Information Processing Systems''. | | NeurIPS-20. In ''Proceedings of the 34th Annual Conference on Neural Information Processing Systems''. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-62)'', Jun, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-62)'', Jun, 2020. |
| | | |
| '''On Pearl’s Hierarchy and the Foundations of Causal Inference''' | | '''On Pearl’s Hierarchy and the Foundations of Causal Inference''' |
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第186行: |
| ACM-20. In ''Probabilistic and Causal Inference: The Works of Judea Pearl (ACM, Special Turing Series), pp. 507-556, 2022.'' | | ACM-20. In ''Probabilistic and Causal Inference: The Works of Judea Pearl (ACM, Special Turing Series), pp. 507-556, 2022.'' |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-60)'', Jul, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-60)'', Jul, 2020. |
| | | |
| '''Causal Effect Identifiability under Partial-Observability''' | | '''Causal Effect Identifiability under Partial-Observability''' |
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第194行: |
| ICML-20. In ''Proceedings of the 37th International Conference on Machine Learning'', 2020. | | ICML-20. In ''Proceedings of the 37th International Conference on Machine Learning'', 2020. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-58)'', Jun, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-58)'', Jun, 2020. |
| | | |
| '''Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach''' | | '''Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach''' |
第204行: |
第202行: |
| ICML-20. In ''Proceedings of the 37th International Conference on Machine Learning'', 2020. | | ICML-20. In ''Proceedings of the 37th International Conference on Machine Learning'', 2020. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-57)'', Jun, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-57)'', Jun, 2020. |
| | | |
| '''Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets''' | | '''Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets''' |
第212行: |
第210行: |
| ICML-20. In ''Proceedings of the 37th International Conference on Machine Learning'', 2020. | | ICML-20. In ''Proceedings of the 37th International Conference on Machine Learning'', 2020. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-56)'', Jun, 2020. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-56)'', Jun, 2020. |
| | | |
| '''A Calculus For Stochastic Interventions: Causal Effect Identification and Surrogate Experiments''' | | '''A Calculus For Stochastic Interventions: Causal Effect Identification and Surrogate Experiments''' |
第220行: |
第218行: |
| AAAI-20. In ''Proceedings of the 34th AAAI Conference on Artificial Intelligence'', 2020. | | AAAI-20. In ''Proceedings of the 34th AAAI Conference on Artificial Intelligence'', 2020. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-55)'', Nov, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-55)'', Nov, 2019. |
| | | |
| '''Estimating Causal Effects Using Weighting-Based Estimators''' | | '''Estimating Causal Effects Using Weighting-Based Estimators''' |
第228行: |
第226行: |
| AAAI-20. In ''Proceedings of the 34th AAAI Conference on Artificial Intelligence'', 2020. | | AAAI-20. In ''Proceedings of the 34th AAAI Conference on Artificial Intelligence'', 2020. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-54)'', Nov, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-54)'', Nov, 2019. |
| | | |
| '''Generalized Transportability: Synthesis of Experiments from Heterogeneous Domains''' | | '''Generalized Transportability: Synthesis of Experiments from Heterogeneous Domains''' |
第236行: |
第234行: |
| AAAI-20. In ''Proceedings of the 34th AAAI Conference on Artificial Intelligence'', 2020. | | AAAI-20. In ''Proceedings of the 34th AAAI Conference on Artificial Intelligence'', 2020. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-53)'', Nov, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-53)'', Nov, 2019. |
| | | |
| '''Identifiability from a Combination of Observations and Experiments''' | | '''Identifiability from a Combination of Observations and Experiments''' |
第244行: |
第242行: |
| AAAI-20. In ''Proceedings of the 34th AAAI Conference on Artificial Intelligence'', 2020. | | AAAI-20. In ''Proceedings of the 34th AAAI Conference on Artificial Intelligence'', 2020. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-52)'', Nov, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-52)'', Nov, 2019. |
| | | |
| === 2019: === | | === 2019: === |
第251行: |
第249行: |
| P. Hünermund, E. Bareinboim. | | P. Hünermund, E. Bareinboim. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-51)'', Dec, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-51)'', Dec, 2019. |
| | | |
| '''Identification of Conditional Causal Effects under Markov Equivalence''' | | '''Identification of Conditional Causal Effects under Markov Equivalence''' |
第261行: |
第259行: |
| Spotlight Presentation (164 out of 6743 papers). | | Spotlight Presentation (164 out of 6743 papers). |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-50)'', Sep, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-50)'', Sep, 2019. |
| | | |
| '''Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets''' | | '''Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets''' |
第269行: |
第267行: |
| NeurIPS-19. In ''Proceedings of the 33rd Annual Conference on Neural Information Processing Systems'', 2019. | | NeurIPS-19. In ''Proceedings of the 33rd Annual Conference on Neural Information Processing Systems'', 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-49)'', Oct, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-49)'', Oct, 2019. |
| | | |
| '''Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes''' | | '''Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes''' |
第277行: |
第275行: |
| NeurIPS-19. In ''Proceedings of the 33rd Annual Conference on Neural Information Processing Systems'', 2019. | | NeurIPS-19. In ''Proceedings of the 33rd Annual Conference on Neural Information Processing Systems'', 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-48)'', Oct, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-48)'', Oct, 2019. |
| | | |
| '''Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions''' | | '''Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions''' |
第285行: |
第283行: |
| NeurIPS-19. In ''Proceedings of the 33rd Annual Conference on Neural Information Processing Systems'', 2019. | | NeurIPS-19. In ''Proceedings of the 33rd Annual Conference on Neural Information Processing Systems'', 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-47)'', Oct, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-47)'', Oct, 2019. |
| | | |
| '''General Identifiability with Arbitrary Surrogate Experiments''' | | '''General Identifiability with Arbitrary Surrogate Experiments''' |
第293行: |
第291行: |
| UAI-19. In ''Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence'', 2019. | | UAI-19. In ''Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence'', 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-46)'', May, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-46)'', May, 2019. |
| | | |
| '''Best Paper Award (1 out of 450 papers).''' | | '''Best Paper Award (1 out of 450 papers).''' |
第303行: |
第301行: |
| IJCAI-19. In ''Proceedings of the 28th International Joint Conference on Artificial Intelligence'', 2019. | | IJCAI-19. In ''Proceedings of the 28th International Joint Conference on Artificial Intelligence'', 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-45)'', May, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-45)'', May, 2019. |
| | | |
| '''On Causal Identification under Markov Equivalence''' | | '''On Causal Identification under Markov Equivalence''' |
第311行: |
第309行: |
| IJCAI-19. In ''Proceedings of the 28th International Joint Conference on Artificial Intelligence'', 2019. | | IJCAI-19. In ''Proceedings of the 28th International Joint Conference on Artificial Intelligence'', 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-44)'', May, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-44)'', May, 2019. |
| | | |
| '''Adjustment Criteria for Generalizing Experimental Findings''' | | '''Adjustment Criteria for Generalizing Experimental Findings''' |
第319行: |
第317行: |
| ICML-19. In ''Proceedings of the 36th International Conference on Machine Learning'', 2019. | | ICML-19. In ''Proceedings of the 36th International Conference on Machine Learning'', 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-43)'', Apr, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-43)'', Apr, 2019. |
| | | |
| '''Causal Identification under Markov Equivalence: Completeness Results''' | | '''Causal Identification under Markov Equivalence: Completeness Results''' |
第327行: |
第325行: |
| ICML-19. In ''Proceedings of the 36th International Conference on Machine Learning'', 2019. | | ICML-19. In ''Proceedings of the 36th International Conference on Machine Learning'', 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-42)'', Apr, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-42)'', Apr, 2019. |
| | | |
| '''Sensitivity Analysis of Linear Structural Causal Models''' | | '''Sensitivity Analysis of Linear Structural Causal Models''' |
第335行: |
第333行: |
| ICML-19. In ''Proceedings of the 36th International Conference on Machine Learning'', 2019. | | ICML-19. In ''Proceedings of the 36th International Conference on Machine Learning'', 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-41)'', Apr, 2019. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-41)'', Apr, 2019. |
| | | |
| '''Structural Causal Bandits with Non-manipulable Variables''' | | '''Structural Causal Bandits with Non-manipulable Variables''' |
第343行: |
第341行: |
| AAAI-19. In ''Proceedings of the 33rd AAAI Conference on Artificial Intelligence,'' 2019. | | AAAI-19. In ''Proceedings of the 33rd AAAI Conference on Artificial Intelligence,'' 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-40)'', Nov, 2018. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-40)'', Nov, 2018. |
| | | |
| '''Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding''' | | '''Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding''' |
第351行: |
第349行: |
| AAAI-19. In ''Proceedings of the 33rd AAAI Conference on Artificial Intelligence,'' 2019. | | AAAI-19. In ''Proceedings of the 33rd AAAI Conference on Artificial Intelligence,'' 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-39)'', Nov, 2018. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-39)'', Nov, 2018. |
| | | |
| '''Identification of Causal Effects in the Presence of Selection Bias''' | | '''Identification of Causal Effects in the Presence of Selection Bias''' |
第359行: |
第357行: |
| AAAI-19. In ''Proceedings of the 33rd AAAI Conference on Artificial Intelligence,'' 2019. | | AAAI-19. In ''Proceedings of the 33rd AAAI Conference on Artificial Intelligence,'' 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-38)'', Nov, 2018. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-38)'', Nov, 2018. |
| | | |
| === 2018: === | | === 2018: === |
第368行: |
第366行: |
| NeurIPS-18. In ''Proceedings of the 32nd Annual Conference on Neural Information Processing Systems'', 2018. | | NeurIPS-18. In ''Proceedings of the 32nd Annual Conference on Neural Information Processing Systems'', 2018. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-37)'', Oct, 2018. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-37)'', Oct, 2018. |
| | | |
| '''Structural Causal Bandits: Where to Intervene?''' | | '''Structural Causal Bandits: Where to Intervene?''' |
第376行: |
第374行: |
| NeurIPS-18. In ''Proceedings of the 32nd Annual Conference on Neural Information Processing Systems'', 2018. | | NeurIPS-18. In ''Proceedings of the 32nd Annual Conference on Neural Information Processing Systems'', 2018. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-36)'', Sep, 2018. [pdf, bib, code] | + | ''Columbia CausalAI Laboratory, Technical Report (R-36)'', Sep, 2018. |
| | | |
| '''Causal Identification under Markov Equivalence''' | | '''Causal Identification under Markov Equivalence''' |
第384行: |
第382行: |
| UAI-18. In ''Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence'', 2018. | | UAI-18. In ''Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence'', 2018. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-35)'', Aug, 2018. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-35)'', Aug, 2018. |
| | | |
| '''Best Student Paper Award (1 out of 337 papers).''' | | '''Best Student Paper Award (1 out of 337 papers).''' |
第394行: |
第392行: |
| UAI-18. In ''Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence'', 2018. | | UAI-18. In ''Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence'', 2018. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-34)'', May, 2018. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-34)'', May, 2018. |
| | | |
| '''Budgeted Experiment Design for Causal Structure Learning''' | | '''Budgeted Experiment Design for Causal Structure Learning''' |
第402行: |
第400行: |
| ICML-18. In ''Proceedings of the 35th International Conference on Machine Learning'', 2018. | | ICML-18. In ''Proceedings of the 35th International Conference on Machine Learning'', 2018. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-33)'', May, 2018. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-33)'', May, 2018. |
| | | |
| '''A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams''' | | '''A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams''' |
第410行: |
第408行: |
| IJCAI-18. In ''Proceedings of the 27th International Joint Conference on Artificial Intelligence'', 2018. | | IJCAI-18. In ''Proceedings of the 27th International Joint Conference on Artificial Intelligence'', 2018. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-32)'', May, 2018. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-32)'', May, 2018. |
| | | |
| '''A note on "Generalizability of Study Results (Lesko et al., 2017)"''' | | '''A note on "Generalizability of Study Results (Lesko et al., 2017)"''' |
第418行: |
第416行: |
| EPI-18. ''Epidemiology,'' v. 30(2), pp. 186-188, 2019. | | EPI-18. ''Epidemiology,'' v. 30(2), pp. 186-188, 2019. |
| | | |
− | ''Columbia CausalAI Laboratory, Technical Report (R-31)'', Apr, 2018. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-31)'', Apr, 2018. |
| | | |
| '''Fairness in Decision-Making -- The Causal Explanation Formula''' | | '''Fairness in Decision-Making -- The Causal Explanation Formula''' |
第426行: |
第424行: |
| AAAI-18. In ''Proceedings of the 32nd AAAI Conference on Artificial Intelligence,'' 2018. | | AAAI-18. In ''Proceedings of the 32nd AAAI Conference on Artificial Intelligence,'' 2018. |
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− | ''Columbia CausalAI Laboratory, Technical Report (R-30)'', Nov, 2017. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-30)'', Nov, 2017. |
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| '''Generalized Adjustment Under Confounding and Selection Biases''' | | '''Generalized Adjustment Under Confounding and Selection Biases''' |
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| AAAI-18. In ''Proceedings of the 32nd AAAI Conference on Artificial Intelligence,'' 2018. | | AAAI-18. In ''Proceedings of the 32nd AAAI Conference on Artificial Intelligence,'' 2018. |
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− | ''Columbia CausalAI Laboratory, Technical Report (R-29)'', Nov, 2017. [pdf, bib] | + | ''Columbia CausalAI Laboratory, Technical Report (R-29)'', Nov, 2017. |
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| '''Outstanding Paper Award Honorable Mention (2 out of 3800 papers).''' | | '''Outstanding Paper Award Honorable Mention (2 out of 3800 papers).''' |