ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 0905.2646
  4. Cited By
Monotonic convergence of a general algorithm for computing optimal
  designs
v1v2v3v4 (latest)

Monotonic convergence of a general algorithm for computing optimal designs

18 May 2009
Yaming Yu
ArXiv (abs)PDFHTML

Papers citing "Monotonic convergence of a general algorithm for computing optimal designs"

21 / 21 papers shown
A Randomized Exchange Algorithm for Optimal Design of Multi-Response
  Experiments
A Randomized Exchange Algorithm for Optimal Design of Multi-Response Experiments
Pál Somogyi
Samuel Rosa
Radoslav Harman
263
0
0
23 Jul 2024
Adaptive discretization algorithms for locally optimal experimental
  design
Adaptive discretization algorithms for locally optimal experimental design
Jochen Schmid
P. Seufert
Michael Bortz
134
3
0
03 Jun 2024
Fast Screening Rules for Optimal Design via Quadratic Lasso
  Reformulation
Fast Screening Rules for Optimal Design via Quadratic Lasso ReformulationJournal of machine learning research (JMLR), 2023
G. Sagnol
Luc Pronzato
188
0
0
13 Oct 2023
A reinforced learning approach to optimal design under model uncertainty
A reinforced learning approach to optimal design under model uncertainty
Mingyao Ai
Holger Dette
Zhenghao Liu
Jun Yu
135
0
0
28 Mar 2023
Computing optimal experimental designs on finite sets by log-determinant
  gradient flow
Computing optimal experimental designs on finite sets by log-determinant gradient flow
F. Piazzon
80
0
0
09 Jan 2022
Analytic solutions for locally optimal designs for gamma models having
  linear predictor without intercept
Analytic solutions for locally optimal designs for gamma models having linear predictor without intercept
Osama Idais
Rainer Schwabe
46
8
0
06 Apr 2019
A Randomized Exchange Algorithm for Computing Optimal Approximate
  Designs of Experiments
A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments
Radoslav Harman
Lenka Filová
Peter Richtárik
201
60
0
17 Jan 2018
Elementary Symmetric Polynomials for Optimal Experimental Design
Elementary Symmetric Polynomials for Optimal Experimental Design
Zelda E. Mariet
S. Sra
142
20
0
24 May 2017
On weighted optimality of experimental designs
On weighted optimality of experimental designs
Samuel Rosa
51
0
0
20 Oct 2016
MM Algorithms for Variance Components Models
MM Algorithms for Variance Components Models
Hua Zhou
Liuyi Hu
Jin J. Zhou
K. Lange
137
36
0
24 Sep 2015
Approximate D-optimal Experimental Design with Simultaneous Size and
  Cost Constraints
Approximate D-optimal Experimental Design with Simultaneous Size and Cost Constraints
Radoslav Harman
E. Benková
173
2
0
12 Aug 2014
Efficient Designs in Small Blocks for Comparing Consecutive Pairs of
  Treatments
Efficient Designs in Small Blocks for Comparing Consecutive Pairs of Treatments
S. Huda
R. Mukerjee
142
0
0
17 May 2014
Computing exact $D$-optimal designs by mixed integer second-order cone
  programming
Computing exact DDD-optimal designs by mixed integer second-order cone programming
G. Sagnol
Radoslav Harman
408
83
0
18 Jul 2013
Efficient Computational Algorithm for Optimal Allocation in Regression
  Models
Efficient Computational Algorithm for Optimal Allocation in Regression ModelsJournal of Computational and Applied Mathematics (JCAM), 2013
Wei Gao
P. Chan
H. Ng
Xiaolei Lu
254
9
0
05 Jan 2013
Optimal Designs for 2^k Factorial Experiments with Binary Response
Optimal Designs for 2^k Factorial Experiments with Binary Response
Jie Yang
A. Mandal
D. Majumdar
519
36
0
25 Sep 2011
Computing Optimal Experimental Designs via Interior Point Method
Computing Optimal Experimental Designs via Interior Point Method
Zhaosong Lu
Ting Kei Pong
480
1
0
09 Sep 2010
On a Multiplicative Algorithm for Computing Bayesian D-optimal Designs
On a Multiplicative Algorithm for Computing Bayesian D-optimal Designs
Yaming Yu
216
4
0
13 May 2010
Improved EM for Mixture Proportions with Applications to Nonparametric
  ML Estimation for Censored Data
Improved EM for Mixture Proportions with Applications to Nonparametric ML Estimation for Censored Data
Yaming Yu
205
3
0
18 Feb 2010
Strict Monotonicity and Convergence Rate of Titterington's Algorithm for
  Computing D-optimal Designs
Strict Monotonicity and Convergence Rate of Titterington's Algorithm for Computing D-optimal DesignsComputational Statistics & Data Analysis (CSDA), 2010
Yaming Yu
296
18
0
21 Jan 2010
Computing Optimal Designs of multiresponse Experiments reduces to
  Second-Order Cone Programming
Computing Optimal Designs of multiresponse Experiments reduces to Second-Order Cone Programming
G. Sagnol
283
71
0
30 Dec 2009
D-optimal designs via a cocktail algorithm
D-optimal designs via a cocktail algorithm
Yaming Yu
452
104
0
31 Oct 2009
1
Page 1 of 1