Machine Learning and Friends Lunch
Machine Learning and Friends Lunch: Silvia Sellán (Columbia University), Stochastic Computer Graphics
Silvia Sellán (Columbia University) will advocate for a perspective shift that allows us to design algorithms directly for safety-critical applications.
Machine Learning and Friends Lunch: Yixin Wang, Causal Inference with Unstructured Data
Causal inference traditionally involves analyzing tabular data where variables like treatment, outcome, covariates, and colliders are manually labeled by humans
Machine Learning and Friends Lunch: Xiaolong Wang, Learning Humanoid Robots
The Machine Learning and Friends Lunch series continues with Xiaolong Wang's "Learning Humanoid Robots."
Machine Learning and Friends Lunch: Xinya Du, Synergizing Knowledge and Large Language Models
In this talk, Xinya Du will discuss her research on synergizing LMs and knowledge.