🎲 Probabilistic Programming

Failure prognostics under sensor degradation: A comparative study of online and batch Bayesian inference

🎯Randomized Algorithms Academic

sciencedirect.com·

Methods for adjusting for covariate measurement error in flexible modelling of functional form: results of a blinded, controlled neutral comparison simulation study

📣Software Criticism Academic

arxiv.org·

Discrete-symmetry-adapted Markov chain Monte Carlo for the electro-elasticity of polymers: chain taut, collapse, and order

🎯Randomized Algorithms Academic

arxiv.org·

Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques

🎯Randomized Algorithms Academic

arxiv.org·

Hessian-informed, Coordinate Friendly Hamiltonian Monte Carlo in Linear Time

📐Algorithms Academic

arxiv.org·

When can a posterior predictive check identify the learning rate? Exact degeneracy in Gaussian models and implications for Generalised Bayesian Inerence

📊Information Theory Academic

arxiv.org·

Disentanglement with Holographic Reduced Representations

🔐Cryptography Academic

arxiv.org·

Subarray based Wideband Beamforming and Variational Sparse CSI Estimation for Low-Resolution MU THz MIMO Systems

📊Information Theory Academic

arxiv.org·

A Unifying Lens on Reward Uncertainty in RLHF

⚖Algorithmic Game Theory Academic

arxiv.org·

Semiparametric Bayesian Difference-in-Differences

🎯Randomized Algorithms Academic

arxiv.org·

Variational Bayes Estimation for Affine-Precoded Superimposed Pilots in Partially Connected Dual-Wideband Tera-Hertz MU-MIMO Systems

📊Information Theory Academic

arxiv.org·

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

⚖Algorithmic Game Theory Academic

arxiv.org·

Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference

📈Complexity Theory Academic

arxiv.org·

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

📊Information Theory Academic

arxiv.org·

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

📊Information Theory Academic

arxiv.org·

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

🎯Randomized Algorithms Academic

arxiv.org·

Uncertainty-Aware Symbolic Regression through Bayesian Support Selection

⚙Functional Programming Academic

arxiv.org·

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

🎯Randomized Algorithms Academic

arxiv.org·

A coupling-based approach to f-divergences diagnostics for Markov chain Monte Carlo

Variational Proximal Policy Optimization

Failure prognostics under sensor degradation: A comparative study of online and batch Bayesian inference

Methods for adjusting for covariate measurement error in flexible modelling of functional form: results of a blinded, controlled neutral comparison simulation study

Discrete-symmetry-adapted Markov chain Monte Carlo for the electro-elasticity of polymers: chain taut, collapse, and order

Data assimilation for subsurface flow using latent diffusion model parameterization: performance of ensemble-Kalman and Monte Carlo techniques

Hessian-informed, Coordinate Friendly Hamiltonian Monte Carlo in Linear Time

When can a posterior predictive check identify the learning rate? Exact degeneracy in Gaussian models and implications for Generalised Bayesian Inerence

Disentanglement with Holographic Reduced Representations

Subarray based Wideband Beamforming and Variational Sparse CSI Estimation for Low-Resolution MU THz MIMO Systems

A Unifying Lens on Reward Uncertainty in RLHF

Semiparametric Bayesian Difference-in-Differences

Variational Bayes Estimation for Affine-Precoded Superimposed Pilots in Partially Connected Dual-Wideband Tera-Hertz MU-MIMO Systems

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

Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference

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

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

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

Uncertainty-Aware Symbolic Regression through Bayesian Support Selection

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