# Daniel Alabi

According to our database

Collaborative distances:

^{1}, Daniel Alabi authored at least 10 papers between 2016 and 2019.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2019

The Cost of a Reductions Approach to Private Fair Optimization.

CoRR, 2019

Learning to Prune: Speeding up Repeated Computations.

CoRR, 2019

Learning to Prune: Speeding up Repeated Computations.

Proceedings of the Conference on Learning Theory, 2019

2018

Systems Optimizations for Learning Certifiably Optimal Rule Lists

Proceedings of the SysML Conference 2018, February, 2018

When optimizing nonlinear objectives is no harder than linear objectives.

CoRR, 2018

Unleashing Linear Optimizers for Group-Fair Learning and Optimization.

Proceedings of the Conference On Learning Theory, 2018

2017

Learning Certifiably Optimal Rule Lists for Categorical Data.

J. Mach. Learn. Res., 2017

Learning Certifiably Optimal Rule Lists for Categorical Data.

CoRR, 2017

Learning Certifiably Optimal Rule Lists.

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

PFunk-H: approximate query processing using perceptual models.

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016