Causal Queries and Assumptions
Zachary discusses the complexities of causal queries in research, highlighting the trade-offs between ambitious questions and simplifying assumptions about data. He points out the imbalance in the research community, where a majority are focused on building larger models rather than exploring diverse and potentially more impactful areas. This raises questions about the effectiveness and relevance of current research trends.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Trends in Machine Learning & Deep Learning with Zachary Lipton - #556
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