Search Results for author: Scott Lee

Found 8 papers, 4 papers with code

Blackbox Post-Processing for Multiclass Fairness

1 code implementation12 Jan 2022 Preston Putzel, Scott Lee

This has motivated the development of various approaches to fair classification with machine learning models in recent years.

BIG-bench Machine Learning Binary Classification +2

NBDT: Neural-Backed Decision Tree

no code implementations ICLR 2021 Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

Machine learning applications such as finance and medicine demand accurate and justifiable predictions, barring most deep learning methods from use.

NBDT: Neural-Backed Decision Trees

2 code implementations1 Apr 2020 Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez

Machine learning applications such as finance and medicine demand accurate and justifiable predictions, barring most deep learning methods from use.

The Many AI Challenges of Hearthstone

no code implementations15 Jul 2019 Amy K. Hoover, Julian Togelius, Scott Lee, Fernando De Mesentier Silva

Games have benchmarked AI methods since the inception of the field, with classic board games such as Chess and Go recently leaving room for video games with related yet different sets of challenges.

Board Games Card Games

Evolving the Hearthstone Meta

no code implementations2 Jul 2019 Fernando de Mesentier Silva, Rodrigo Canaan, Scott Lee, Matthew C. Fontaine, Julian Togelius, Amy K. Hoover

Balancing an ever growing strategic game of high complexity, such as Hearthstone is a complex task.

Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries

1 code implementation24 Apr 2019 Matthew C. Fontaine, Scott Lee, L. B. Soros, Fernando De Mesentier Silva, Julian Togelius, Amy K. Hoover

Quality diversity (QD) algorithms such as MAP-Elites have emerged as a powerful alternative to traditional single-objective optimization methods.

Talakat: Bullet Hell Generation through Constrained Map-Elites

no code implementations12 Jun 2018 Ahmed Khalifa, Scott Lee, Andy Nealen, Julian Togelius

We describe a search-based approach to generating new levels for bullet hell games, which are action games characterized by and requiring avoidance of a very large amount of projectiles.

Natural Language Generation for Electronic Health Records

1 code implementation1 Jun 2018 Scott Lee

A variety of methods existing for generating synthetic electronic health records (EHRs), but they are not capable of generating unstructured text, like emergency department (ED) chief complaints, history of present illness or progress notes.

De-identification Machine Translation +2

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