-
1
-
-
84882279850
-
Collaborative hyperparameter tuning
-
ICML 2013, Atlanta, GA, USA, 16-21 June 2013
-
Bardenet, R., Brendel, M., Kégl, B., Sebag, M.: Collaborative hyperparameter tuning. In: Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, pp. 199-207 (2013)
-
(2013)
Proceedings of the 30th International Conference on Machine Learning
, pp. 199-207
-
-
Bardenet, R.1
Brendel, M.2
Kégl, B.3
Sebag, M.4
-
2
-
-
85162384813
-
Algorithms for hyper-parameter optimization
-
Proceedings of a meeting held 12-14 December 2011, Granada, Spain
-
Bergstra, J., Bardenet, R., Bengio, Y., Kégl, B.: Algorithms for hyper-parameter optimization. In: Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, Granada, Spain, pp. 2546-2554 (2011)
-
(2011)
Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011
, pp. 2546-2554
-
-
Bergstra, J.1
Bardenet, R.2
Bengio, Y.3
Kégl, B.4
-
3
-
-
84857855190
-
Random search for hyper-parameter optimization
-
Bergstra, J., Bengio, Y.: Random search for hyper-parameter optimization. J. Mach. Learn. Res. 13, 281-305 (2012)
-
(2012)
J. Mach. Learn. Res
, vol.13
, pp. 281-305
-
-
Bergstra, J.1
Bengio, Y.2
-
6
-
-
0036161011
-
Choosing multiple parameters for support vector machines
-
Chapelle, O., Vapnik, V., Bousquet, O., Mukherjee, S.: Choosing multiple parameters for support vector machines. Machine Learning 46(1-3), 131-159 (2002)
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 131-159
-
-
Chapelle, O.1
Vapnik, V.2
Bousquet, O.3
Mukherjee, S.4
-
7
-
-
84862283411
-
An analysis of single-layer networks in unsupervised feature learning
-
AISTATS 2011, Fort Lauderdale, USA, April 11-13, 2011
-
Coates, A., Ng, A.Y., Lee, H.: An analysis of single-layer networks in unsupervised feature learning. In: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2011, Fort Lauderdale, USA, April 11-13, 2011, pp. 215-223 (2011)
-
(2011)
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics
, pp. 215-223
-
-
Coates, A.1
Ng, A.Y.2
Lee, H.3
-
9
-
-
84908297240
-
Using meta-learning to initialize bayesian optimization of hyperparameters
-
Feurer, M., Springenberg, J.T., Hutter, F.: Using meta-learning to initialize bayesian optimization of hyperparameters. In: ECAI workshop on Metalearning and Algorithm Selection (MetaSel), pp. 3-10 (2014)
-
(2014)
ECAI workshop on Metalearning and Algorithm Selection (MetaSel)
, pp. 3-10
-
-
Feurer, M.1
Springenberg, J.T.2
Hutter, F.3
-
10
-
-
15844394276
-
Evolutionary tuning of multiple svm parameters
-
Friedrichs, F., Igel, C.: Evolutionary tuning of multiple svm parameters. Neurocomput. 64, 107-117 (2005)
-
(2005)
Neurocomput
, vol.64
, pp. 107-117
-
-
Friedrichs, F.1
Igel, C.2
-
11
-
-
82455210873
-
Combining meta-learning and search techniques to select parameters for support vector machines
-
Gomes, T.A.F., Prudêncio, R.B.C., Soares, C., Rossi, A.L.D., Carvalho, A.C.P.L.F.: Combining meta-learning and search techniques to select parameters for support vector machines. Neurocomputing 75(1), 3-13 (2012)
-
(2012)
Neurocomputing
, vol.75
, Issue.1
, pp. 3-13
-
-
Gomes, T.A.F.1
Prudêncio, R.B.C.2
Soares, C.3
Rossi, A.L.D.4
Carvalho, A.C.P.L.F.5
-
12
-
-
56549111881
-
A novel ls-svms hyper-parameter selection based on particle swarm optimization
-
Guo, X.C., Yang, J.H., Wu, C.G., Wang, C.Y., Liang, Y.C.: A novel ls-svms hyper-parameter selection based on particle swarm optimization. Neurocomput. 71(16-18), 3211-3215 (2008)
-
(2008)
Neurocomput
, vol.71
, Issue.16-18
, pp. 3211-3215
-
-
Guo, X.C.1
Yang, J.H.2
Wu, C.G.3
Wang, C.Y.4
Liang, Y.C.5
-
13
-
-
76749092270
-
The weka data mining software: An update
-
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The weka data mining software: An update. SIGKDD Explor. Newsl. 11(1), 10-18 (2009)
-
(2009)
SIGKDD Explor. Newsl
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
14
-
-
84868554032
-
Sequential model-based optimization for general algorithm configuration
-
Coello, C.A.C. (ed.), LNCS, Springer, Heidelberg
-
Hutter, F., Hoos, H.H., Leyton-Brown, K.: Sequential model-based optimization for general algorithm configuration. In: Coello, C.A.C. (ed.) LION 2011. LNCS, vol. 6683, pp. 507-523. Springer, Heidelberg (2011)
-
(2011)
LION 2011
, vol.6683
, pp. 507-523
-
-
Hutter, F.1
Hoos, H.H.2
Leyton-Brown, K.3
-
15
-
-
0000561424
-
Efficient global optimization of expensive black-box functions
-
Jones, D.R., Schonlau, M., Welch, W.J.: Efficient global optimization of expensive black-box functions. J. of Global Optimization 13(4), 455-492 (1998)
-
(1998)
J. of Global Optimization
, vol.13
, Issue.4
, pp. 455-492
-
-
Jones, D.R.1
Schonlau, M.2
Welch, W.J.3
-
16
-
-
0002282074
-
A New Measure of Rank Correlation
-
Kendall, M.G.: A New Measure of Rank Correlation. Biometrika 30(1/2), 81-93 (1938)
-
(1938)
Biometrika
, vol.30
, Issue.1-2
, pp. 81-93
-
-
Kendall, M.G.1
-
17
-
-
0001173632
-
An Automatic Method for Solving Discrete Programming Problems
-
Land, A.H., Doig, A.G.: An Automatic Method for Solving Discrete Programming Problems. Econometrica 28, 497-520 (1960)
-
(1960)
Econometrica
, vol.28
, pp. 497-520
-
-
Land, A.H.1
Doig, A.G.2
-
18
-
-
0000988422
-
Branch-And-Bound Methods: A Survey
-
Lawler, E.L., Wood, D.E.: Branch-And-Bound Methods: A Survey. Operations Research 14(4), 699-719 (1966)
-
(1966)
Operations Research
, vol.14
, Issue.4
, pp. 699-719
-
-
Lawler, E.L.1
Wood, D.E.2
-
19
-
-
84864928603
-
Selecting classification algorithms with active testing
-
Perner, P. (ed.), LNCS, Springer, Heidelberg
-
Leite, R., Brazdil, P., Vanschoren, J.: Selecting classification algorithms with active testing. In: Perner, P. (ed.) MLDM 2012. LNCS, vol. 7376, pp. 117-131. Springer, Heidelberg (2012)
-
(2012)
MLDM 2012
, vol.7376
, pp. 117-131
-
-
Leite, R.1
Brazdil, P.2
Vanschoren, J.3
-
20
-
-
73449129720
-
-
e1000579 (2009). PMID: 19956750
-
Pinto, N., Doukhan, D., DiCarlo, J.J., Cox, D.D.: A high-throughput screening approach to discovering good forms of biologically inspired visual representation. PLoS Computational Biology 5(11), e1000579 (2009). PMID: 19956750
-
A high-throughput screening approach to discovering good forms of biologically inspired visual representation. PLoS Computational Biology 5(11)
-
-
Pinto, N.1
Doukhan, D.2
DiCarlo, J.J.3
Cox, D.D.4
-
22
-
-
84869201485
-
Practical bayesian optimization of machine learning algorithms
-
2012, Lake Tahoe, Nevada, United States
-
Snoek, J., Larochelle, H., Adams, R.P.: Practical bayesian optimization of machine learning algorithms. In: Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States, pp. 2960-2968 (2012)
-
(2012)
Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6
, pp. 2960-2968
-
-
Snoek, J.1
Larochelle, H.2
Adams, R.P.3
-
23
-
-
77956501313
-
Gaussian process optimization in the bandit setting: No regret and experimental design
-
Fürnkranz J., Joachims, T. (eds.) Omnipress
-
Srinivas, N., Krause, A., Seeger, M., Kakade, S.M.: Gaussian process optimization in the bandit setting: no regret and experimental design. In: Fürnkranz, J., Joachims, T. (eds.) Proceedings of the 27th International Conference on Machine Learning (ICML 2010), pp. 1015-1022. Omnipress (2010)
-
(2010)
Proceedings of the 27th International Conference on Machine Learning (ICML 2010)
, pp. 1015-1022
-
-
Srinivas, N.1
Krause, A.2
Seeger, M.3
Kakade, S.M.4
-
24
-
-
84898939805
-
Multi-task bayesian optimization
-
2013, Lake Tahoe, Nevada, United States
-
Swersky, K., Snoek, J., Adams, R.P.: Multi-task bayesian optimization. In: Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States, pp. 2004-2012 (2013)
-
(2013)
Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8
, pp. 2004-2012
-
-
Swersky, K.1
Snoek, J.2
Adams, R.P.3
-
25
-
-
85018371540
-
Auto-weka: Combined selection and hyperparameter optimization of classification algorithms
-
KDD 2013, ACM, New York
-
Thornton, C., Hutter, F., Hoos, H.H., Leyton-Brown, K.: Auto-weka: combined selection and hyperparameter optimization of classification algorithms. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, pp. 847-855. ACM, New York (2013)
-
(2013)
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 847-855
-
-
Thornton, C.1
Hutter, F.2
Hoos, H.H.3
Leyton-Brown, K.4
-
26
-
-
84944261791
-
Openml: Networked science in machine learning
-
Vanschoren, J., van Rijn, J.N., Bischl, B., Torgo, L.: Openml: Networked science in machine learning. SIGKDD Explorations 15(2), 49-60 (2013)
-
(2013)
SIGKDD Explorations
, vol.15
, Issue.2
, pp. 49-60
-
-
Vanschoren, J.1
van Rijn, J.N.2
Bischl, B.3
Torgo, L.4
-
27
-
-
67650938640
-
An informational approach to the global optimization of expensive-to-evaluate functions
-
Villemonteix, J., Vazquez, E., Walter, E.: An informational approach to the global optimization of expensive-to-evaluate functions. Journal of Global Optimization 44(4), 509-534 (2009)
-
(2009)
Journal of Global Optimization
, vol.44
, Issue.4
, pp. 509-534
-
-
Villemonteix, J.1
Vazquez, E.2
Walter, E.3
-
28
-
-
84963549890
-
-
June 2015
-
Wistuba, M.: Supplementary website, June 2015. http://hylap.org/publications/ Hyperparameter-Search-Space-Pruning
-
Supplementary website
-
-
Wistuba, M.1
|