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Controlled Loosening-up (CLuP) -- achieving exact MIMO ML in polynomial
  time

Controlled Loosening-up (CLuP) -- achieving exact MIMO ML in polynomial time

3 September 2019
M. Stojnic
ArXiv (abs)PDFHTML

Papers citing "Controlled Loosening-up (CLuP) -- achieving exact MIMO ML in polynomial time"

7 / 7 papers shown
CLuP practically achieves $\sim 1.77$ positive and $\sim 0.33$ negative Hopfield model ground state free energy
CLuP practically achieves ∼1.77\sim 1.77∼1.77 positive and ∼0.33\sim 0.33∼0.33 negative Hopfield model ground state free energy
Mihailo Stojnic
182
4
0
30 Jul 2025
Theoretical limits of descending $\ell_0$ sparse-regression ML
  algorithms
Theoretical limits of descending ℓ0\ell_0ℓ0​ sparse-regression ML algorithms
Mihailo Stojnic
274
0
0
10 Oct 2024
Sparse linear regression -- CLuP achieves the ideal \emph{exact} ML
Sparse linear regression -- CLuP achieves the ideal \emph{exact} ML
M. Stojnic
169
0
0
23 Nov 2020
Rephased CLuP
Rephased CLuP
M. Stojnic
156
1
0
23 Nov 2020
Algorithmic random duality theory -- large scale CLuP
Algorithmic random duality theory -- large scale CLuP
M. Stojnic
171
2
0
23 Nov 2020
Starting CLuP with polytope relaxation
Starting CLuP with polytope relaxation
M. Stojnic
159
3
0
03 Sep 2019
Complexity analysis of the Controlled Loosening-up (CLuP) algorithm
Complexity analysis of the Controlled Loosening-up (CLuP) algorithm
M. Stojnic
211
6
0
03 Sep 2019
1
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