The following pages link to MM optimization algorithms (Q2826638):
Displaying 50 items.
- MM for penalized estimation (Q82924) (← links)
- Stream-suitable optimization algorithms for some soft-margin support vector machine variants (Q145488) (← links)
- An MM Algorithm for Split Feasibility Problems (Q150985) (← links)
- On the spherical quasi-convexity of quadratic functions on spherically subdual convex sets (Q831352) (← links)
- The MM alternative to EM (Q906520) (← links)
- Dyad ranking using Plackett-Luce models based on joint feature representations (Q1640577) (← links)
- Support points (Q1991669) (← links)
- Nonconvex robust programming via value-function optimization (Q2028490) (← links)
- Fastest rates for stochastic mirror descent methods (Q2044496) (← links)
- Fast incremental expectation maximization for finite-sum optimization: nonasymptotic convergence (Q2058782) (← links)
- Is EM really necessary here? Examples where it seems simpler not to use EM (Q2068900) (← links)
- Finding best approximation pairs for two intersections of closed convex sets (Q2070342) (← links)
- VCSEL: prioritizing SNP-set by penalized variance component selection (Q2078274) (← links)
- High-performance statistical computing in the computing environments of the 2020s (Q2092893) (← links)
- Randomized mixture models for probability density approximation and estimation (Q2200581) (← links)
- Non-blind and blind deconvolution under Poisson noise using fractional-order total variation (Q2217388) (← links)
- A covariance-enhanced approach to multitissue joint eQTL mapping with application to transcriptome-wide association studies (Q2245177) (← links)
- On the penalized maximum likelihood estimation of high-dimensional approximate factor model (Q2418076) (← links)
- A comparison of optimization solvers for log binomial regression including conic programming (Q2666995) (← links)
- Randomization and Reweighted $\ell_1$-Minimization for A-Optimal Design of Linear Inverse Problems (Q3300853) (← links)
- MM Algorithms for Variance Components Models (Q3391241) (← links)
- Regularizing with Bregman--Moreau Envelopes (Q4561226) (← links)
- Composite Difference-Max Programs for Modern Statistical Estimation Problems (Q4562249) (← links)
- Projecting onto the Intersection of a Cone and a Sphere (Q4577744) (← links)
- An efficient <i>k</i>‐means‐type algorithm for clustering datasets with incomplete records (Q4970437) (← links)
- Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality (Q4997837) (← links)
- (Q5053276) (← links)
- A User-Friendly Computational Framework for Robust Structured Regression with the L<sub>2</sub> Criterion (Q5057231) (← links)
- Exact gradient methods with memory (Q5058416) (← links)
- An Explicit Mean-Covariance Parameterization for Multivariate Response Linear Regression (Q5066446) (← links)
- Iteratively Reweighted Group Lasso Based on Log-Composite Regularization (Q5161764) (← links)
- Optimal $k$-Thresholding Algorithms for Sparse Optimization Problems (Q5210512) (← links)
- Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes (Q5234282) (← links)
- Proximal Distance Algorithms: Theory and Examples (Q5381120) (← links)
- Orthogonal Trace-Sum Maximization: Tightness of the Semidefinite Relaxation and Guarantee of Locally Optimal Solutions (Q5867627) (← links)
- Global implicit function theorems and the online expectation–maximisation algorithm (Q6051671) (← links)
- Dimension Reduction for Integrative Survival Analysis (Q6055731) (← links)
- Weighted Bayesian bootstrap for scalable posterior distributions (Q6059510) (← links)
- A Legacy of EM Algorithms (Q6067612) (← links)
- A computational framework for edge-preserving regularization in dynamic inverse problems (Q6076066) (← links)
- A unified analysis of convex and non-convex \(\ell_p\)-ball projection problems (Q6097485) (← links)
- A fast and efficient estimation of the parameters of a model of accident frequencies via an MM algorithm (Q6097686) (← links)
- Doubly iteratively reweighted algorithm for constrained compressed sensing models (Q6097766) (← links)
- A Likelihood-Based Approach for Multivariate Categorical Response Regression in High Dimensions (Q6110028) (← links)
- Robust variable selection and estimation via adaptive elastic net S-estimators for linear regression (Q6115528) (← links)
- Alternating cyclic vector extrapolation technique for accelerating nonlinear optimization algorithms and fixed-point mapping applications (Q6126026) (← links)
- Accelerating actor-critic-based algorithms via pseudo-labels derived from prior knowledge (Q6126872) (← links)
- Binned multinomial logistic regression for integrative cell-type annotation (Q6138653) (← links)
- Some results on OMP algorithm for MMV problem (Q6181820) (← links)
- A majorization-minimization algorithm for neuroimage registration (Q6541915) (← links)
