This direction was kicked off by Dwork and Lei in 2009, who gave a framework for designing private estimators, which works especially well given robust ones (
https://
stat.cmu.edu/~jinglei/dl09.
pdf
…). But in just the last 2-3 years, there's been a lot more interest in finding connections. 4/n
DATA
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Private Estimators Framework: Dwork and Lei’s 2009 Breakthrough
By
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Robustness Implies Privacy in Statistical Estimation
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New paper with @Samuel_BKH
, @mahbodm_
, and Shyam Narayanan: "Robustness Implies Privacy in Statistical Estimation." A robust estimator can be (black-box) converted to a private estimator, often optimally. https://
arxiv.org/abs/2212.05015 1/n -
Generative AI, LLMs, and ML in Production Conference 2026
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Topics of discussion include: 1. Generative AI, LLMs, and ML in Production by @rasbt 2. AI and ML in Enterprise
3. The Economy of the Future
4. End to End MLOps Platforms Plus, certificates will be provided to those who attend this session! -
AI fears versus current algorithmic manipulation reality
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“AI is gonna take over the world and brainwash all of us!!!” Meanwhile, simple probability distributions already control millions of people, manipulating their emotions, keeping them up all night, & destroying their lives.
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Personalization Data Stored Locally on User Devices
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Personalization data is stored locally, on the user’s device 🙂
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Unifying enterprise data on the Lakehouse architecture
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You’re first @ has to unify all their #data onto the #Lakehouse
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100+ Free Data Science Books for Machine Learning and AI
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Free eBooks: 100+ Free Data Science Books http://
bit.ly/3AAD4At #NeuralNetworks #MachineLearning #TensorFlow #100DaysOfCode #BigData #Analytics #DevCommunity #Programming #IoT #javascript #Linux #Cloud #Serverless #womenwhocode #Python #RStats #DeepLearning #AI #DataScience -
Bayesians Return to Statistics After AI Dominance Era
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All those Bayesians that dominated AI for a while are now back to being statisticians.
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Training costs for stable diffusion models scale exponentially
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SD 512 cost $600k to train, SD 768 probably $1.3M and 4K would cost $10M I think to train also where do you source billions of images