15 stories tagged with #bayesian, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Bayesian Knowledge Tracing in 37 lines of Python — how NumPath models what a student knows
What We Built NumPath maintains a KCState for every student × Knowledge Component pair....…
Poverty Bayes: fitting million-parameter models for pennies with serverless MCMC
Fitting a million-parameter Bayesian model on Modal with PyMC and NumPyro…
Researchers develop Bayesian inference for hidden dependence structures in multi-group high-dimensional data
Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness
Classical reinforcement learning assumes the agent interacts with a fixed environment whose behavior does not depend on the agent's policy. This assumption breaks down in non-reali…
Don't know where your data is from? Bayesian modeling for unknown coordinates
A PyMC Gaussian process example with uncertain spatial coordinates…
Automated Kernel Discovery Towards Understanding High-dimensional Bayesian Optimization
Gaussian Process (GP) kernels are central to Bayesian optimization (BO), yet designing effective kernels for high-dimensional problems still relies on extensive manual engineering.…
Embedding by Elicitation: Dynamic Representations for Bayesian Optimization of System Prompts
System prompts are a central control mechanism in modern AI systems, shaping behavior across conversations, tasks, and user populations. Yet they are difficult to tune when feedbac…
A Nonlinear Complexity Index for Wearable PPG Cardiovascular Stability: Multiscale Validation, Systematic Evaluation Correction, and Bayesian Parameter Optimization
Cardiovascular stability estimation from wearable photoplethysmography (PPG) requires a principled nonlinear framework, yet major gaps persist in heuristic parameter selection and …
Agentic Chunking and Bayesian De-chunking of AI Generated Fuzzy Cognitive Maps: A Model of the Thucydides Trap
We automatically generate feedback causal fuzzy cognitive maps (FCMs) from text by teaching large-language-model agents to break the text into overlapping chunks of text. Convex mi…
Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
Scientific discovery is increasingly constrained by costly experiments and limited resources, underscoring the need for efficient optimization in AI for science. Bayesian Optimizat…
We shipped 6 prompt-optimization algorithms (GEPA, PromptWizard, ProTeGi, Bayesian, Meta-Prompt, Random) in one Apache 2.0 Python library.
Amortized Energy-Based Bayesian Inference
We consider amortized Bayesian inference for nonlinear inverse problems in settings where only samples from the joint distribution of parameters and observations are available. Cla…
Grokking as Structural Inference: Transformers Need Bayesian Lottery Tickets
Why does a Transformer that has memorized its training set wait thousands of steps before it generalizes? Existing accounts locate this delay in norm minimization, feature emergenc…
MCMC for Mixture Models: Inferring Earthquake Regimes
Between 1900 and 2006, the number of major earthquakes per year ranged from 6 to 41. In some decades...…
Bayesian Survival Analysis with PyMC: Modelling Customer Churn
Every subscription business lives or dies by churn. Whether it is a B2B SaaS platform tracking annual...…