The Distinguished Lecture series brings computer scientists to Columbia to discuss current issues and research that is affecting their particular fields. This year, nine experts covered topics from deep learning, virtual reality, blockchains, algorithms, computing, and data science.
John Hennessy, from Stanford University, addressed the slower rate of performance growth for general processors and how he sees domain specific architectures may be the one attractive path for important classes of problems.
Below is the list of prominent faculty and industry researchers from across the country that gave talks and links to videos of their lectures.
- Deep Learning to Learn
Pieter Abbeel, UC Berkeley
- Blockchains Untangled:
Public, Private, Smart Contracts, Applications, Issues
C. Mohan, IBM Almaden Research Center
- Enabling Real Virtuality: Closing the Gap Between the Digital and the Physical
Daniel Wigdor, University of Toronto
- Toward Theoretical Understanding of Deep Learning
Sanjeev Arora, Princeton/IAS
- The End of the Road for General Purpose Processors and the Future of Computing
John Hennessy, Stanford University
- Sketching Algorithms
Jelani Nelson, Harvard
- Exciting Times for Multiparty Computations — Over 35 Years in the Making
Tal Rabin, IBM
- Learning in Games
Éva Tardos, Cornell University
- Causal Data Science: A General Framework for Data Fusion and Causal Inference
Elias Bareinboim, Purdue University