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🎲 Probabilistic Programming

Bayesian Inference, Monte Carlo, Probabilistic Models, Stan

Machine Learning Fundamentals: loss function
dev.to·5h·
Discuss: DEV
🔗Parser Combinators
Formal Bayesian Transfer Learning via the Total Risk Prior
arxiv.org·19h
🔢Mathematical Logic
AI in a vat: Fundamental limits of efficient world modelling for safe agent sandboxing
lesswrong.com·3h
🧫Cellular Automata
Probabilistic Consistency in Machine Learning and Its Connection to Uncertainty Quantification
arxiv.org·2d
🔢Mathematical Logic
LLGuidance: Making Structured Outputs Go Brrr
guidance-ai.github.io·1d·
Discuss: Hacker News
🔧Compiler Design
Simulating large systems with Regression Language Models
research.google·2d
🔗Parser Combinators
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner
arxiv.org·19h
🧩Theorem Proving
(1) Fitting hierarchical models in genetics, (2) A Stan model that runs faster with 400,000 latent parameters, (3) Super-scalable penalized maximum likelihood i...
statmodeling.stat.columbia.edu·1d
🔗Parser Combinators
Machine Learning Fundamentals: logistic regression with python
dev.to·6h·
Discuss: DEV
🔍Static Analysis
Fingine: Thoughts on Side Projects and Financial Simulation
javednissar.ca·21m·
Discuss: Hacker News
⚡Concurrency
Symbolic-numeric programming in scientific computing
dspace.mit.edu·2d
⚙Functional Programming
GeoMIP-Pattern – a pattern scaling dataset for efficient generation of custom geoengineering scenarios
nature.com·9h
🧫Cellular Automata
LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process
arxiv.org·1d
🧫Cellular Automata
Observing and evaluating AI agentic workflows with Strands Agents SDK and Arize AX
aws.amazon.com·6h
🔍Static Analysis
“I think of analysts as data wizards who help their product teams solve problems”
towardsdatascience.com·8h
🧩Theorem Proving
[P] Crop Prediction
reddit.com·18h·
Discuss: r/programming
⚖️Logic Programming
Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems
arxiv.org·1d
⚖Algorithmic Game Theory
Step3
stepfun.ai·1d·
Discuss: Hacker News
🏗Computer Architecture
Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training
arxiv.org·1d
🎯Constraint Programming
Not everything needs GPT. Sometimes a simple equation will do
danielball.com·1d·
Discuss: Hacker News
🔗Parser Combinators
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