The Distinguished Lecture Series Explores the Different Ways Machine Learning is Used in Research

The Distinguished Lecture series brings computer scientists to Columbia to discuss current issues and research that are affecting their particular fields.

This year, four experts covered topics on how machine learning is used in drug discovery, software testing, RNA splicing, and surrogate loss functions:

  • Regina Barzilay, MIT
    Modeling Chemistry for Drug Discovery: Current State and Unsolved Challenges
  • Koushik Sen, UC Berkeley
    Automated Test Generation: A Journey from Symbolic Execution to Smart Fuzzing and Beyond
  • Oded Regev, Courant Institute, New York University
    Using Machine Learning for Scientific Discovery in Biology
  • Shivani Agarwal, University of Pennsylvania
    Surrogate Loss Functions in Machine Learning: What are the Fundamental Design Principles?

 

Below are a couple of the lectures from prominent faculty from universities across the country.

Automated Test Generation: A Journey from Symbolic Execution to Smart Fuzzing and Beyond
Koushik Sen, UC Berkeley

Surrogate Loss Functions in Machine Learning: What are the Fundamental Design Principles?
Shivani Agarwal, University of Pennsylvania

 

 

Cross-disciplinary Research Highlighted in This Year’s Distinguished Lectures Series

The Distinguished Lecture series brings computer scientists to Columbia to discuss current issues and research that are affecting their particular fields. This year, eight experts covered topics ranging from machine learning, human-computer interaction, neural language models, law and public policy, psychology, and computer architecture.

Below are a couple of the lectures from prominent faculty from universities across the country.

 

 

 

 

 

The Distinguished Lecture Series Explores the Latest in CS Research

The Distinguished Lecture series brings computer scientists to Columbia to discuss current issues and research that are affecting their particular fields. This year, eight experts covered topics from machine learning, cryptography, privacy, algorithms, ethics, and computer vision.

Below are a couple of the lectures from prominent faculty from universities across the country.