Using the probabilistic method to bound the performance of toy transformers by Alex Gibson
greaterwrong.com·17h
📈Machine Learning
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Forked A/B Index Optimizer: Making Database Optimization Accessible to Everyone
🗄️Databases
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.org·1d
📈Machine Learning
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A QOJ week
👩💻Programming
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<p>**Abstract:** This paper introduces a novel approach to the verification of Adaptive Finite State Machines (AFSMs) commonly employed in real-time digital con...
freederia.com·2h
📈Machine Learning
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All You Need to Know About Chunking in Agentic RAG
pub.towardsai.net·4h
📈Machine Learning
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
📈Machine Learning
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Normalized Entropy or Apply Rate? Evaluation Metrics for Online Modeling Experiments
engineering.indeedblog.com·7h
📈Machine Learning
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Charting the future of AI, from safer answers to faster thinking
news.mit.edu·19h
📈Machine Learning
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Unlocking Simplicity: Skeletonizing Boolean Networks for Enhanced Performance by Arvind Sundararajan
📈Machine Learning
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Weighted Quantile Weirdness and Bugs
📈Machine Learning
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Entropy in algorithm analysis
11011110.github.io·5d
📈Machine Learning
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News for October 2025
ptreview.sublinear.info·3d
📈Machine Learning
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TwIST: Rigging the Lottery in Transformers with Independent Subnetwork Training
arxiv.org·11h
📈Machine Learning
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Algorithmic Alchemy: Transmuting Dynamic Programming with Gradients by Arvind Sundararajan
📈Machine Learning
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The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·20h
📈Machine Learning
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