Ang Li

Affiliations:
  • Florida State University, Department of Computer Science, Tallahassee, FL, USA
  • University of California, Los Angeles, Department of Computer Science, CA, USA (former, PhD 2021)


According to our database1, Ang Li authored at least 14 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Unit Selection with Nonbinary Treatment and Effect.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Probabilities of Causation with Nonbinary Treatment and Effect.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Epsilon-Identifiability of Causal Quantities.
CoRR, 2023

Probabilities of Causation: Role of Observational Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Learning Probabilities of Causation from Finite Population Data.
CoRR, 2022

Unit Selection: Learning Benefit Function from Finite Population Data.
CoRR, 2022

Unit Selection: Case Study and Comparison with A/B Test Heuristic.
CoRR, 2022

Probabilities of Causation: Adequate Size of Experimental and Observational Samples.
CoRR, 2022

Causes of Effects: Learning Individual Responses from Population Data.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Bounds on Causal Effects and Application to High Dimensional Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Unit Selection with Causal Diagram.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020
Training Machine Learning Models With Causal Logic.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2019
Unit Selection Based on Counterfactual Logic.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2013
Efficient Learning in Linearly Solvable MDP Models.
Proceedings of the IJCAI 2013, 2013


  Loading...