📊 Statistics - nickyfoto · Scour

Correcting Selection Bias in Sparse User Feedback for Large Language Model Quality Estimation: A Multi-Agent Hierarchical Bayesian Approach 🤖LLM

67. DBSCAN: Clustering That Handles Messy Data 📊Data Science

dev.to·3d·DEV

Active Multiple-Prediction-Powered Inference 🤖AI Research

Foundations of Reliable Inference: Reliability-Efficiency Co-Design 📐Systems Design

ANCHOR: Abductive Network Construction with Hierarchical Orchestration for Reliable Probability Inference in Large Language Models 🤖LLM

Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification 🧠LLMs

Statistical inference with belief functions: A survey 📊Data Science

Generalized Hierarchical Bayesian Segmentation with Irregular Designs, Multi-Sequence Hierarchies, and Grouped/Latent-Group Designs 👁️Computer Vision

The Value of Mechanistic Priors in Sequential Decision Making 🤖AI Research

Bayesian Sensitivity of Causal Inference Estimators under Evidence-Based Priors 🧠LLMs

Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data 👁️Computer Vision

PRIM: Meta-Learned Bayesian Root Cause Analysis 🔲ML Hardware

Asymptotically Log-Optimal Bayes-Assisted Confidence Sequences for Bounded Means 🧮Algorithms

Is Data Shapley Not Better than Random in Data Selection? Ask NASH 🧮Algorithms

LLMs are not (consistently) Bayesian: Quantifying internal (in)consistencies of LLMs' probabilistic beliefs 🧠LLMs

Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework 👁️Computer Vision

Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks 👁️Computer Vision

Optimal Experiments for Partial Causal Effect Identification 🤖AI Research

Bayesian Reasoning for Physics Informed Neural Networks 🤖AI Research

Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation 👁️Computer Vision

Log in to enable infinite scrolling