🎲 Probability - jhcha.oyo · Scour

In-Context Learning for Latent Space Bayesian Optimization

📊Statistics Academic

Optimal Regret Exponents for Bayesian Statistical Decision Problems

📊Statistics Academic

Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries

🎲Bayesian Inference Academic

Quantum resources in non-stoquastic quantum annealing

⚛️Physics Academic

Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models

🤖AI Academic

Spatial Model Selection and Uncertainty Quantification: Comparing Continuous and Discrete Wound Healing Models

📊Statistics Academic

Bayesian Membership Privacy for Graph Neural Networks

📊Statistics Academic

Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference

📊Statistics Academic

ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience

🎮Reinforcement Learning Academic

Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses

📊Statistics Academic

Quantum Algorithm for Nonlinear and Stochastic Homogenization via a Young-Measure based Linear Programming Formulation

⚛️Quantum Computing Academic

Multilevel Stochastic Gradient Descent for Risk-Averse PDE-Constrained Optimization

📈Optimization Academic

Sample Where You Struggle: Sharpening Base Model Reasoning via Entropy-Guided Power Sampling

🎲Bayesian Inference Academic

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

📊Statistics Academic

Folded Transport MCMC: Certifiable Quotient Posterior Computation for Symmetric Bayesian Models

📊Bayesian Statistics Academic

Minimum Distortion Quantization with Specified Output Distribution

📡Information Theory Academic

QnRL: Quantum-Native Reinforcement Learning

🎮Reinforcement Learning Academic

Causal Atlases from Entropic Inference: Bayesian Networks beyond Optimal DAGs

📊Statistics Academic

WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds

📊Statistics Academic

A 65 nm Multi-Modal Bayesian Inference Engine with 16.3 fJ/Sample Calibration-Free GRNG for Risk-Aware At-Home Skin Lesion Screening

📊Statistics Academic

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