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== 成长经历 ==
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== 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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J. Zhang, J. Tian, E. Bareinboim.
 
J. Zhang, J. Tian, E. Bareinboim.
   −
''Columbia CausalAI Laboratory, Technical Report (R-78)'', Jun, 2021. [pdf, bib]
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''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'''
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T. Anand, A. Ribeiro, J. Tian, E. Bareinboim.
 
T. Anand, A. Ribeiro, J. Tian, E. Bareinboim.
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''Columbia CausalAI Laboratory, Technical Report (R-77)'', Jun, 2021. [pdf, bib]
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''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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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.
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''Columbia CausalAI Laboratory, Technical Report (R-80)'', Jun, 2021. [pdf, bib]
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''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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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.
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''Columbia CausalAI Laboratory, Technical Report (R-79)'', Jun, 2021. [pdf, bib]
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''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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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.
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''Columbia CausalAI Laboratory, Technical Report (R-76)'', Jun, 2021. [pdf, bib]
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''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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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.
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''Columbia CausalAI Laboratory, Technical Report (R-75)'', Jun, 2021. [pdf, bib]
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''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]
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''Columbia CausalAI Laboratory, Technical Report (R-70)'', Jun, 2021.
    
'''Oral Presentation (<1%, out of 9122 papers).'''
 
'''Oral Presentation (<1%, out of 9122 papers).'''
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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.
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''Columbia CausalAI Laboratory, Technical Report (R-73)'', Apr, 2022. [pdf, bib]
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''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'''
第105行: 第103行:  
J. Zhang, E. Bareinboim.
 
J. Zhang, E. Bareinboim.
   −
''Columbia CausalAI Laboratory, Technical Report (R-72)'', Feb, 2021. [pdf, bib]
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''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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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]
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''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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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.
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''Columbia CausalAI Laboratory, Technical Report (R-69)'', Dec, 2020. [pdf, bib]
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''Columbia CausalAI Laboratory, Technical Report (R-69)'', Dec, 2020.
    
'''Bounding Causal Effects on Continuous Outcomes'''
 
'''Bounding Causal Effects on Continuous Outcomes'''
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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.
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''Columbia CausalAI Laboratory, Technical Report (R-61)'', Jun, 2020. [pdf, bib]
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''Columbia CausalAI Laboratory, Technical Report (R-61)'', Jun, 2020.
    
=== 2020: ===
 
=== 2020: ===
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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]
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''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'''
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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]
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''Columbia CausalAI Laboratory, Technical Report (R-67)'', Jun, 2020.
    
'''Causal Imitation Learning with Unobserved Confounders'''
 
'''Causal Imitation Learning with Unobserved Confounders'''
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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]
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''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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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.
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''Columbia CausalAI Laboratory, Technical Report (R-64)'', Jun, 2020. [pdf, bib]
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''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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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''.
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''Columbia CausalAI Laboratory, Technical Report (R-63)'', Jun, 2020. [pdf, bib]
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''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'''
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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''.
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''Columbia CausalAI Laboratory, Technical Report (R-62)'', Jun, 2020. [pdf, bib]
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''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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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]
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''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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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.
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''Columbia CausalAI Laboratory, Technical Report (R-58)'', Jun, 2020. [pdf, bib]
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''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'''
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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]
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''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.
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''Columbia CausalAI Laboratory, Technical Report (R-56)'', Jun, 2020. [pdf, bib]
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''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'''
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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]
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''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]
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''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.
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''Columbia CausalAI Laboratory, Technical Report (R-53)'', Nov, 2019. [pdf, bib]
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''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'''
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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]
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''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'''
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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]
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''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]
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''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]
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''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]
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''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]
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''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]
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''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.
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''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.
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''Columbia CausalAI Laboratory, Technical Report (R-41)'', Apr, 2019. [pdf, bib]
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''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]
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''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.
   −
''Columbia CausalAI Laboratory, Technical Report (R-30)'', Nov, 2017. [pdf, bib]
+
''Columbia CausalAI Laboratory, Technical Report (R-30)'', Nov, 2017.
    
'''Generalized Adjustment Under Confounding and Selection Biases'''
 
'''Generalized Adjustment Under Confounding and Selection Biases'''
第434行: 第432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.
   −
''Columbia CausalAI Laboratory, Technical Report (R-29)'', Nov, 2017. [pdf, bib]
+
''Columbia CausalAI Laboratory, Technical Report (R-29)'', Nov, 2017.
    
'''Outstanding Paper Award Honorable Mention (2 out of 3800 papers).'''
 
'''Outstanding Paper Award Honorable Mention (2 out of 3800 papers).'''
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