Using the probabilistic method to bound the performance of toy transformers by Alex Gibson
greaterwrong.com·9h
📈Machine Learning
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A QOJ week
blog.mitrichev.ch·1d·
Discuss: blog.mitrichev.ch
👩‍💻Programming
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.org·1d
📈Machine Learning
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Unlocking Simplicity: Skeletonizing Boolean Networks for Enhanced Performance by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
📈Machine Learning
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Mathematical exploration and discovery at scale
terrytao.wordpress.com·1d·
Discuss: Hacker News
📈Machine Learning
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Normalized Entropy or Apply Rate? Evaluation Metrics for Online Modeling Experiments
engineering.indeedblog.com·11m
📈Machine Learning
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.io·1d·
Discuss: r/programming
📈Machine Learning
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Charting the future of AI, from safer answers to faster thinking
news.mit.edu·11h
📈Machine Learning
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<p>**Abstract:** Existing cloud storage solutions, particularly object storage systems like Amazon S3 and Google Drive, grapple with escalating storage costs du...
freederia.com·2h
📈Machine Learning
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Weighted Quantile Weirdness and Bugs
practicalsignificance.com·10h·
Discuss: Hacker News
📈Machine Learning
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Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL
clarvo.ai·2d·
Discuss: Hacker News
🗄️Databases
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Entropy in algorithm analysis
11011110.github.io·5d
📈Machine Learning
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Indexing, Hashing & Query Optimization in Databases
dev.to·3h·
Discuss: DEV
🗄️Databases
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News for October 2025
ptreview.sublinear.info·3d
📈Machine Learning
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DS-STAR: A state-of-the-art versatile data science agent
research.google·15h
📈Machine Learning
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Algorithmic Alchemy: Transmuting Dynamic Programming with Gradients by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
📈Machine Learning
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TwIST: Rigging the Lottery in Transformers with Independent Subnetwork Training
arxiv.org·4h
📈Machine Learning
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<p>**Abstract:** This research introduces a novel framework, the Automated Knowledge Graph Augmentation and Validation System (AKG-AVS), for dynamically expandi...
freederia.com·13h
📈Machine Learning
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The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·13h
📈Machine Learning
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Show HN: TabPFN-2.5 – SOTA foundation model for tabular data
priorlabs.ai·14h·
Discuss: Hacker News
📈Machine Learning
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