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📐 Statistics
statistical inference, Bayesian, regression, probability theory
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In-Context Learning for Latent Space
Bayesian
Optimization
⚙️
ML Engineering
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for In-Context Learning for Latent Space Bayesian Optimization
Beat the Oracle
🤖
ai
Content type:
Code
github.com
·
3d
3 days ago
·
DEV
Actions for Beat the Oracle
When can a
posterior
predictive check identify the learning rate? Exact degeneracy in Gaussian models and implications for Generalised
Bayesian
Inerence
⚙️
ML Engineering
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for When can a posterior predictive check identify the learning rate? Exact degeneracy in Gaussian models and implications for Generalised Bayesian Inerence
Convergence Rates for Neural-Network Estimation with
Current-Status
Data
⚙️
ML Engineering
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for Convergence Rates for Neural-Network Estimation with Current-Status Data
Structure-Preserving Correction Learning for Sparse
Bayesian
Inference
in Brain Source Imaging
⚙️
ML Engineering
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
Ergodic
Theory
in Classical and
Bayesian
Inference
🧠
AI Research
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Ergodic Theory in Classical and Bayesian Inference
Spatial Model Selection and Uncertainty Quantification: Comparing Continuous and Discrete Wound Healing Models
⚡
Software Perf
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for Spatial Model Selection and Uncertainty Quantification: Comparing Continuous and Discrete Wound Healing Models
Hybrid
Bayesian
and deep learning-based degradation modeling for medical imaging equipment under multi-condition Internet of Medical Things data streams
⚙️
ML Engineering
Content type:
Academic
sciencedirect.com
·
6d
6 days ago
Actions for Hybrid Bayesian and deep learning-based degradation modeling for medical imaging equipment under multi-condition Internet of Medical Things data streams
Sequential
statistical
inference
for Large
Language
Models: Representation, validity, and monitoring
💬
LLMs
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Sequential statistical inference for Large Language Models: Representation, validity, and monitoring
ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience
⚙️
ML Engineering
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for ReflectiChain: Epistemic Grounding in LLM-Driven World Models for Supply Chain Resilience
Semi-Parametric
Inference
for Doubly
Stochastic
Spatial Point Processes: An Approximate Penalized Poisson
Likelihood
Approach
📈
Time Series
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
Semiparametric
Bayesian
Difference-in-Differences
🤖
Algo Trading
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for Semiparametric Bayesian Difference-in-Differences
A 65 nm Multi-Modal
Bayesian
Inference
Engine with 16.3
fJ/Sample
Calibration-Free GRNG for Risk-Aware At-Home Skin Lesion Screening
⚙️
ML Engineering
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for A 65 nm Multi-Modal Bayesian Inference Engine with 16.3 fJ/Sample Calibration-Free GRNG for Risk-Aware At-Home Skin Lesion Screening
Bayesian-Agent
:
Posterior-Guided
Skill Evolution for LLM Agent Harnesses
💬
LLMs
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses
Parameter estimation in generalized fractional neuronal models
⚙️
ML Engineering
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Parameter estimation in generalized fractional neuronal models
WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds
🤖
ai
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds
Large-scale empirical tuning and comparison of default optimizers for variational
inference
🧠
AI Research
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Large-scale empirical tuning and comparison of default optimizers for variational inference
Bayesian
learning for the
stochastic
shortest path problem
🧠
AI Research
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Bayesian learning for the stochastic shortest path problem
Disentangling Latent Risk Pathways via
Bayesian
Hypergraph
Inference
🧠
AI Research
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference
Generalized TV--$\ell_p$ Structured Priors for
Bayesian
$T_1$ Mapping
💬
LLMs
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for Generalized TV--$\ell_p$ Structured Priors for Bayesian $T_1$ Mapping
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