picture of me in Milan, Italy

Daniel Alabi

alabid [at] g [dot] harvard [dot] edu
2nd year Ph.D. student at Harvard University.

Currently, my research interests are in algorithms, optimization, learning theory, and differential privacy.

Previously, I spent a year as a (non-PhD) graduate research scholar at Columbia University, working with Prof. Chris Wiggins and Prof. Eugene Wu. Before coming back to academia, I was a Software Engineer on the distributed systems team at MongoDB. I obtained my bachelor's degrees in Mathematics and Computer Science from Carleton College where I was a Kellogg International Scholar.

Papers

Unleashing Linear Optimizers for Group-Fair Learning and Optimization.
Daniel Alabi, Nicole Immorlica, Adam Tauman Kalai.
In COLT, July, 2018  [arxiv]  [PMLR]  [COLT poster] 
Learning Certifiably Optimal Rule Lists for Categorical Data.
Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi, Margo Seltzer, and Cynthia Rudin.
In JMLR, June, 2018  [arxiv] 
Long Journal Version of KDD 2017, SysML 2018 papers with more analyses/results/experiments/proofs
Systems Optimizations for Learning Certifiably Optimal Rule Lists.
Nicholas Larus-Stone, Elaine Angelino, Daniel Alabi, Margo Seltzer, Vassilios Kaxiras, Aditya Saligrama, and Cynthia Rudin.
In SysML, February, 2018  [pdf] 
Learning Certifiably Optimal Rule Lists.
Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi, Margo Seltzer, and Cynthia Rudin.
In KDD, August, 2017  [pdf] 
PFunk-H: Approximate Query Processing using Perceptual Models
Daniel Alabi and Eugene Wu.
In Proceedings of the International Workshop on Human-in-the-Loop Data Analytics (HILDA), June, 2016  [pdf] 
Poster at North East Database Day, January, 2016.

Selected (Practical/Holistic) Projects

CORELS
CORELS is a custom discrete optimization technique for building rule lists over a categorical feature space.
PerceptVis
My research was on the use of human perceptual models to make interactive visualizations faster by leveraging approximation (with formal guarantees).
FlyLaTeX
Collaborative LaTeX editor.
See my GitHub page for projects not listed here.

Teaching

Check out some of my instructional worksheets.