Where Should Probabilistic ML Researchers Publish?
💡See how LLM dominance is reshaping publication strategies for probabilistic and statistical ML researchers.
⚡ 30-Second TL;DR
What Changed
The author observes that LLM-focused work occupies much of the poster and workshop space at major ML conferences.
Why It Matters
If the trend continues, probabilistic ML researchers may need to optimize venue selection around reviewer expertise and community fit rather than conference prestige alone. This could further separate foundational statistical ML from the dominant LLM and agent research ecosystem.
What To Do Next
For your next statistical or probabilistic ML paper, compare the latest AISTATS, UAI, NeurIPS, ICLR, and ICML calls for papers and select the venue whose reviewer expertise best matches your contribution.
Key Points
- •The author observes that LLM-focused work occupies much of the poster and workshop space at major ML conferences.
- •Statistical and probabilistic ML researchers may increasingly consider AISTATS and UAI as primary submission venues.
- •Researchers such as Arnaud Doucet, Aapo Hyvärinen, Christian Naesseth, and Stefano Ermon continue to publish at top-tier conferences.
- •The discussion questions whether prestige, rather than community fit, has historically driven venue selection.
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Original source: Reddit r/MachineLearning ↗
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