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A multilevel approach for nonnegative matrix factorization |
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12 |

A multilevel approach for nonnegative matrix factorization |
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24 |
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1 |
52 |

ACUTA: a novel method for eliciting additive value functions on the basis of holistic preference statements |
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4 |
1 |
1 |
9 |
22 |

Accelerated multiplicative updates and hierarchical ALS algorithms for nonnegative matrix factorization |
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4 |
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1 |
8 |
28 |

Accelerated multiplicative updates and hierarchical als algorithms for nonnegative matrix factorization |
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3 |
12 |
2 |
5 |
20 |
76 |

Algorithms for possible semidefinite factorization |
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2 |
2 |
7 |
7 |

An efficient sampling method for regression-based polynomial chaos expansion |
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4 |
1 |
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33 |

An interior-point method for the single-facility location problem with mixed norms using a conic formulation |
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1 |
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6 |

An interior-point method for the single-facility location problem with mixed norms using a conic formulation |
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1 |
19 |
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4 |
85 |

Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming |
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1 |
3 |
3 |

Conic formulation for lp-norm optimization |
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12 |

Direct deterministic nulling techniques for large random arrays including mutual coupling |
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2 |
6 |
6 |

Double smoothing technique for infinite-dimensional optimization problems with applications to optimal control |
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23 |
1 |
1 |
2 |
60 |

Double smoothing technique for large-scale linearly constrained convex optimization |
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24 |

Energy limits in primary frequency control with short-term frequency-band allocation |
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4 |
10 |

Exact worst-case convergence rates of the proximal gradient method for composite convex minimization |
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2 |
2 |

Exact worst-case performance of first-order methods for composite convex optimization |
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1 |
5 |
16 |

Exact worst-case performance of first-order methods for composite convex optimization |
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7 |
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1 |
6 |
34 |

Extended formulations for order polytopes through network flows |
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2 |

First-order methods of smooth convex optimization with inexact oracle |
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6 |
39 |
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6 |
19 |
164 |

First-order methods with inexact oracle: the strongly convex case |
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21 |
62 |
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6 |
36 |
183 |

Heuristics for Exact Nonnegative Matrix Factorization |
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5 |

Heuristics for exact nonnegative matrix factorization |
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2 |
2 |
18 |
1 |
4 |
10 |
113 |

Impact of the material distribution formalism on the efficiency of evolutionary methods for topology optimization |
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1 |
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9 |

Improving complexity of structured convex optimization problems usiion ng self-concordant barriers |
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10 |

Intermediate gradient methods for smooth convex problems with inexact oracle |
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4 |
20 |
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11 |
70 |

Les méthodes de point intérieur |
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9 |

Linear convergence of first order methods for non-strongly convex optimization |
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9 |
9 |

Low-rank matrix approximation with weights or missing data is NP-hard |
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13 |
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10 |
83 |

Low-rank matrix approximation with weights or missing data is NP-hard |
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13 |

Nonnegative factorization and the maximum edge biclique problem |
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20 |
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3 |
9 |
138 |

Nonnegative factorization and the maximum edge biclique problem |
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13 |
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2 |
9 |
65 |

On the Worst-case Complexity of the Gradient Method with Exact Line Search for Smooth Strongly Convex Functions |
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3 |
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1 |
7 |
21 |

On the geometric interpretation of the nonnegative rank |
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3 |
12 |

On the geometric interpretation of the nonnegative rank |
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6 |
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2 |
50 |

On the linear extension complexity of regular n-gons |
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3 |

On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions |
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5 |
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8 |
17 |

On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions |
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5 |
12 |

Random block coordinate descent methods for linearly constrained optimization over networks |
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1 |
1 |
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10 |

Smooth Strongly Convex Interpolation and Exact Worst-case Performance of First-order Methods |
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1 |
3 |
3 |
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7 |
31 |

Smooth strongly convex interpolation and exact worst-case performance of first-order methods |
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10 |

Solving infinite-dimensional optimizaiton problems by polynomial approximation |
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6 |

Solving infinite-dimensional optimization problems by polynomial approximation |
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21 |
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4 |
69 |

Using underapproximations for sparse nonnegative matrix factorization |
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1 |
26 |
3 |
3 |
5 |
81 |

Using underapproximations for sparse nonnegative matrix factorization |
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1 |
2 |
2 |
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13 |

Worst-case convergence analysis of inexact gradient and Newton methods through semidefinite programming performance estimation |
1 |
1 |
1 |
1 |
1 |
3 |
3 |
3 |

Total Working Papers |
1 |
11 |
49 |
352 |
32 |
70 |
277 |
1,699 |