🎲 Bayesian statistics - jcbush · Scour

S2A3: Thompson Sampling and Stochastic Exposure Control for High-Stakes CATs

📊Statistical Computing Academic

Uncertainty-Aware Symbolic Regression through Bayesian Support Selection

📊Statistical Computing Academic

Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference

🤖Machine learning Academic

A Unifying Lens on Reward Uncertainty in RLHF

🎮Reinforcement Learning Academic

Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents

🎮Reinforcement Learning Academic

Bayesian genome-wide clustering and variable selection of transcriptomic data via rank-based mixtures

📊Statistical Computing Academic

Modeling semantic association in self-paced reading with language model embeddings

🤖Machine learning Academic

Geometry-Structured Channel Reconstruction for Conventional and Fluid Antenna Systems: Bayesian Inference and Fundamental Limits

📊Optimization Academic

Backward Coherence and Hidden-State Stability in Recurrent Neural Networks: A Quasi-Reverse-Martingale Theory

🎮Reinforcement Learning Academic

From data to decisions: Bayesian modelling and global sensitivity analysis for flotation control

📊Statistical Computing Academic

Robust Multi-view Clustering against Imperfect Information

🤖Machine learning Academic

Hybrid Particle Gaussian Mixture (H-PGM) Solution for Cislunar Target Tracking

📊Statistical Computing Academic

Negative and Fractional Types in the Fidelity Framework

📊Statistical Computing Academic

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