:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Breaz, Valentin, Wilkinson, Richard
Format:	Preprint
Published:	2022
Subjects:	Computation
Online Access:	https://arxiv.org/abs/2204.08022
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A new gradient-free active subspace estimation method with application to rare event probability estimation
by: Breaz, Valentin, et al.
Published: (2026)

Offline Preference Optimization via Maximum Marginal Likelihood Estimation
by: Najafi, Saeed, et al.
Published: (2025)

On the Waring Problem for Matrices over Finite Fields
by: Breaz, Simion
Published: (2025)

The Krull-Remak-Schmidt-Azumaya Theorem for idempotent complete categories
by: Breaz, Simion
Published: (2025)

Selective Inference in Graphical Models via Maximum Likelihood
by: Guglielmini, Sofia, et al.
Published: (2025)

Hardness of Maximum Likelihood Learning of DPPs
by: Grigorescu, Elena, et al.
Published: (2022)

Robust LLM Performance Certification via Constrained Maximum Likelihood Estimation
by: Shen, Minghe, et al.
Published: (2026)

Pseudo-Maximum Likelihood Theory for High-Dimensional Rank One Inference
by: Grant, Curtis, et al.
Published: (2025)

Sample Complexity of Branch-length Estimation by Maximum Likelihood
by: Clancy Jr., David, et al.
Published: (2025)

High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
by: Nguyen, Quoc-Anh Hoang, et al.
Published: (2024)

High-Dimensional Binary Variates: Maximum Likelihood Estimation with Nonstationary Covariates and Factors
by: Kong, Xinbing, et al.
Published: (2025)

Likelihood Level Adapted Estimation of Marginal Likelihood for Bayesian Model Selection
by: De, Subhayan, et al.
Published: (2025)

High-Dimensional Bayesian Likelihood Normalisation for CRESST's Background Model
by: Angloher, G., et al.
Published: (2023)

Quantile-based Maximum Likelihood Training for Outlier Detection
by: Taghikhah, Masoud, et al.
Published: (2023)

Comparing $\mathrm{Add}(M)$ with $\mathrm{Prod}(M)$
by: Breaz, Simion, et al.
Published: (2025)

Generalized Bayesian Likelihood-Free Inference
by: Pacchiardi, Lorenzo, et al.
Published: (2021)

Momentum SVGD-EM for Accelerated Maximum Marginal Likelihood Estimation
by: Rozzio, Adam, et al.
Published: (2026)

Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation
by: Akyildiz, Ö. Deniz, et al.
Published: (2023)

Monte Carlo Maximum Likelihood Reconstruction for Digital Holography with Speckle
by: Chen, Xi, et al.
Published: (2026)

Scalable Bayesian Optimization for High-Dimensional Coarse-Grained Model Parameterization
by: Junior, Carlos A. Martins, et al.
Published: (2025)

GIT-BO: High-Dimensional Bayesian Optimization with Tabular Foundation Models
by: Yu, Rosen Ting-Ying, et al.
Published: (2025)

Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review
by: Barigozzi, Matteo
Published: (2023)

Generalized Maximum Likelihood Estimation for Perspective-n-Point Problem
by: Zhan, Tian, et al.
Published: (2024)

Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching
by: Lu, Wenhui Sophia, et al.
Published: (2025)

Maximum Likelihood Particle Tracking in Turbulent Flows via Sparse Optimization
by: Kearney, Griffin M, et al.
Published: (2026)

Tight Lower Bound for Approximating Parametrized Maximum Likelihood Decoding under ETH
by: Gupta, Rishav, et al.
Published: (2026)

An Approximate Maximum Likelihood Estimator for Discretely Observed Linear Birth-and-Death Processes
by: Long, Xiaochen, et al.
Published: (2025)

Robust Maximum $L_q$-Likelihood Covariance Estimation for Replicated Spatial Data
by: Chen, Sihan, et al.
Published: (2024)

Maximum Likelihood Estimates of Parameters in Generalized Gamma Distribution with SeLF Algorithm
by: Cai, Yufei
Published: (2023)

The Efficient Shrinkage Path: Maximum Likelihood of Minimum MSE Risk
by: Obenchain, Robert L.
Published: (2021)

High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
by: Priem, Rémy, et al.
Published: (2025)

A Multiscale Perspective on Maximum Marginal Likelihood Estimation
by: Akyildiz, O. Deniz, et al.
Published: (2024)

Likelihood-based Inference for Exponential-Family Random Graph Models via Linear Programming
by: Krivitsky, Pavel N., et al.
Published: (2022)

Task Graph Maximum Likelihood Estimation for Procedural Activity Understanding in Egocentric Videos
by: Seminara, Luigi, et al.
Published: (2025)

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
by: Silander, Tomi, et al.
Published: (2024)

Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
by: Jamshidian, Parsa, et al.
Published: (2025)

Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
by: Tan, Hong Ye, et al.
Published: (2024)

A Marginal Maximum Likelihood Approach for Hierarchical Simultaneous Autoregressive Models with Missing Data
by: Wijayawardhana, Anjana, et al.
Published: (2024)

Maximum-Projection-Based Bayesian Optimization Utilizing Sensitivity Analysis for High-Efficiency Radial Turbine Design with Scarce Data
by: Diehl, Eric, et al.
Published: (2026)

Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
by: Shao, Sisi, et al.
Published: (2024)