🎲 Bayesian Inference - gary

🎲Stochastic AI Academic

arxiv.org·

Bayesian Probing on Graphs

🎲Stochastic AI Academic

arxiv.org·

Liesel: A Python Framework for Graph-Based Bayesian Modeling and Customizable MCMC with Support for Generalized Additive Models

🎲Stochastic AI Academic

arxiv.org·

Trace-Class Results for MCMC Algorithms for Student-t Regression Models

🎲Stochastic AI Academic

arxiv.org·

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue

♨Thermodynamic computing Academic

arxiv.org·

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

🎲Stochastic AI Academic

arxiv.org·

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

🎲Stochastic AI Academic

arxiv.org·

LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems

🎲Stochastic AI Academic

arxiv.org·

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

🎲Stochastic AI Academic

arxiv.org·

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

🎲Stochastic AI Academic

arxiv.org·

A Unifying Lens on Reward Uncertainty in RLHF

🎲Stochastic AI Academic

arxiv.org·

Learning Collapsed Patterns in Compositional Data: A Bayesian Heterogeneous Relative-Shift Approach

📻Noise Engineering Academic

arxiv.org·

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

🎲Stochastic AI Academic

arxiv.org·

A Flexible Approach to Augmenting a Bayesian VAR with Nonlinear Factors

🎲Stochastic AI Academic

arxiv.org·

Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging

📻Noise Engineering Academic

arxiv.org·

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

📻Noise Engineering Academic

arxiv.org·

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

🎲Stochastic AI Academic

arxiv.org·

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

📻Noise Engineering Academic

arxiv.org·

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

📻Noise Engineering Academic

arxiv.org·

Semiparametric Bayesian Difference-in-Differences

Large-scale empirical tuning and comparison of default optimizers for variational inference

Bayesian Probing on Graphs

Liesel: A Python Framework for Graph-Based Bayesian Modeling and Customizable MCMC with Support for Generalized Additive Models

Trace-Class Results for MCMC Algorithms for Student-t Regression Models

A 185 TOPS/W/mm2 Bayesian Inference Engine with 640 aJ Write-Free FeFET GRNG for Uncertainty-Aware Aerial Search and Rescue

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

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

LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems

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

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

A Unifying Lens on Reward Uncertainty in RLHF

Learning Collapsed Patterns in Compositional Data: A Bayesian Heterogeneous Relative-Shift Approach

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

A Flexible Approach to Augmenting a Bayesian VAR with Nonlinear Factors

Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging

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

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

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

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