Using Brain Imaging to Improve Neural Networks with Alona Fyshe - #513
Today we’re joined by Alona Fyshe, an assistant professor at the University of Alberta. We caught up with Alona on the heels of an interesting panel discussion that she participated in, centered aro...
26 Aug 202136min
Adaptivity in Machine Learning with Samory Kpotufe - #512
Today we’re joined by Samory Kpotufe, an associate professor at Columbia University and program chair of the 2021 Conference on Learning Theory (COLT). In our conversation with Samory, we explore hi...
23 Aug 202149min
A Social Scientist’s Perspective on AI with Eric Rice - #511
Today we’re joined by Eric Rice, associate professor at USC, and the co-director of the USC Center for Artificial Intelligence in Society. Eric is a sociologist by trade, and in our conversation, we...
19 Aug 202143min
Applications of Variational Autoencoders and Bayesian Optimization with José Miguel Hernández Lobato - #510
Today we’re joined by José Miguel Hernández-Lobato, a university lecturer in machine learning at the University of Cambridge. In our conversation with Miguel, we explore his work at the intersection o...
16 Aug 202142min
Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509
Today we’re joined by return guest Greg Brockman, co-founder and CTO of OpenAI. We had the pleasure of reconnecting with Greg on the heels of the announcement of Codex, OpenAI’s most recent release. C...
12 Aug 202147min
Spatiotemporal Data Analysis with Rose Yu - #508
Today we’re joined by Rose Yu, an assistant professor at the Jacobs School of Engineering at UC San Diego. Rose’s research focuses on advancing machine learning algorithms and methods for analyzing ...
9 Aug 202132min
Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507
Today we’re joined by Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. Most folks know Bryan as one of the founders/creators of cuDNN, the accelerated library for deep neu...
5 Aug 202150min
Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506
Today we close out our 2021 ICML series joined by Lina Montoya, a postdoctoral researcher at UNC Chapel Hill. In our conversation with Lina, who was an invited speaker at the Neglected Assumptions in...
2 Aug 202154min
