Zack Boner
My blogs
| Gender | Male |
|---|---|
| Industry | Student |
| Occupation | PhD Student |
| Location | Durham, NC, United States |
| Introduction | I am a Ph.D. Student in Computer Science at Duke University, advised by Dr. Cynthia Rudin. I research interpretable machine learning with the objective of making AI more useful for real world domain experts. I aim to understand why simple models perform as well as black box models in a wide variety of tabular data domains. Towards this goal, I am investigating the simplifying effect of noise for several hypothesis spaces, especially sparse decision trees. I also study the underlying causes of the Rashomon Effect, where there are many approximately-equally-good models for real world data. Finally, I seek to understand the role of missing data in exacerbating the Rashomon Effect. Recipient of the NSF Graduate Research Fellowship (GRFP). |
| Interests | Interpretable Machine Learning, Computer Science, Mathematics, Machine Learning, Reinforcement Learning, NLP, Multivariate Timeseries |
| Favorite music | Snarky Puppy, Kendrick Lamar, Busty and the Bass, Beethoven |
| Favorite books | The Stormlight Archives, The Primes Conspiracy, Artificial Intelligence: A Modern Approach :) |