On the relationship between MESP and 0/1 D-Opt and their upper bounds
arxiv.org·1d
🎯Performance Proofs
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Deep Learning Without Training
zenodo.org·12h·
Discuss: Hacker News
🧠Machine Learning
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The 7 Statistical Concepts You Need to Succeed as a Machine Learning Engineer
machinelearningmastery.com·20h
🧠Intelligence Compression
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Automated Gravitational Lensing Anomaly Detection & Galactic Mass Profiling via Hyperdimensional Feature Extraction
dev.to·4h·
Discuss: DEV
🧭Content Discovery
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Tuesday 18 November 2025
informatics.ed.ac.uk·1d
📡Information theory
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The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·1d
📊Count-Min Sketch
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Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
arxiv.org·2d
🧠Intelligence Compression
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Chebyshev Polynomials are Ferraris for Numerical Programmers
leetarxiv.substack.com·14h·
📐Error Bounds
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Half life of Frameworks
rsdoiel.github.io·4h
🏗️Compiler Archaeology
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SampCert: Verified Foundations for Differential Privacy (PLDI 2025)
dl.acm.org·1d·
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🔐Homomorphic Encryption
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News for October 2025
ptreview.sublinear.info·4d
🧪Property-Based Testing
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Continuous Autoregressive Language Models
shaochenze.github.io·3d·
Discuss: Hacker News
🎧Learned Audio
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Diving into Rama: A Clojure LSH Vector Search Experiment
shtanglitza.ai·6h·
Discuss: Hacker News
🗂️Vector Databases
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Evaluating Synthetic Data — The Million Dollar Question
towardsdatascience.com·10h
🗂️Vector Databases
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DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets
arxiv.org·1d
🧠Machine Learning
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Thoughts on Building Reliable Systems
medium.com·2h·
🛡️Error Boundaries
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Post-Training LLMs as Better Decision-Making Agents: A Regret-Minimization Approach
arxiv.org·1d
💻Local LLMs
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Modern Optimizers – An Alchemist's Notes on Deep Learning
notes.kvfrans.com·1d·
Discuss: Hacker News
📊Quantization
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.org·2d
🧠Machine Learning
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Decoupled Entropy Minimization
arxiv.org·2d
🧠Machine Learning
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