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.
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- Lifting Lower Bounds, Communication, and Proofs
Toniann Pitassi, University of Toronto
- Lifting Lower Bounds, Communication, and Proofs
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- Controlling the Black Box: Learning Manipulable and Fair Representations
Richard Zemel, University of Toronto
- Controlling the Black Box: Learning Manipulable and Fair Representations
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- Towards anonymous and metadata private communication at Internet scale
Srini Devadas, MIT
- Towards anonymous and metadata private communication at Internet scale
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- From Ethical Challenges of Intelligent Systems to Embedding Ethics in Computer Science Education
Barbara Grosz, Harvard University
- From Ethical Challenges of Intelligent Systems to Embedding Ethics in Computer Science Education
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- Using Sound to Help You See and Sight to Help You Hear
Bill Freeman, MIT
- Using Sound to Help You See and Sight to Help You Hear
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- Divergences in Neural Machine Translation
Marine Carpuat, University of Maryland
- Divergences in Neural Machine Translation
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- Learning Language Through Interaction
Hal Daume, University of Maryland
- Learning Language Through Interaction