Jiahao Chen

Orcid: 0000-0002-4357-6574

Affiliations:
  • J. P. Morgan AI Research, New York, NY, USA
  • Massachusetts Institute of Technology,Cambridge, MA, USA (former)


According to our database1, Jiahao Chen authored at least 22 papers between 2014 and 2023.

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

2023
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2021
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice.
CoRR, 2021

Ontology drift is a challenge for explainable data governance.
CoRR, 2021

Seven challenges for harmonizing explainability requirements.
CoRR, 2021

Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the current and emerging challenges of developing fair and ethical AI solutions in financial services.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020
Debiasing classifiers: is reality at variance with expectation?
CoRR, 2020

Model-Agnostic Characterization of Fairness Trade-offs.
CoRR, 2020

FACT: A Diagnostic for Group Fairness Trade-offs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Towards self-regulating AI: challenges and opportunities of AI model governance in financial services.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Paying down metadata debt: learning the representation of concepts using topic models.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

CryptoCredit: securely training fair models.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019
Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018
Julia: dynamism and performance reconciled by design.
Proc. ACM Program. Lang., 2018

Fair lending needs explainable models for responsible recommendation.
CoRR, 2018

Linguistic Relativity and Programming Languages.
CoRR, 2018

Fast computation of the principal components of genotype matrices in Julia.
CoRR, 2018

Fast Flexible Function Dispatch in Julia.
CoRR, 2018

2016
Robust benchmarking in noisy environments.
CoRR, 2016

The Right Way to Search Evolving Graphs.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2014
Parallel prefix polymorphism permits parallelization, presentation & proof.
Proceedings of the 1st First Workshop for High Performance Technical Computing in Dynamic Languages, 2014

Array Operators Using Multiple Dispatch: A design methodology for array implementations in dynamic languages.
Proceedings of the ARRAY'14: Proceedings of the 2014 ACM SIGPLAN International Workshop on Libraries, 2014


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