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Used together with:
optim (4)
model (3)
effici (2)
learn (2)
algorithm (2)

Stem hyperparamet$ (all stems)

9 papers:

ICMLICML-2015-MaclaurinDA #learning #optimisation
Gradient-based Hyperparameter Optimization through Reversible Learning (DM, DKD, RPA), pp. 2113–2122.
ICMLICML-c1-2014-HutterHL #approach #performance
An Efficient Approach for Assessing Hyperparameter Importance (FH, HH, KLB), pp. 754–762.
ICMLICML-c2-2014-GiesenLW #kernel #performance #robust
Robust and Efficient Kernel Hyperparameter Paths with Guarantees (JG, SL, PW), pp. 1296–1304.
ICMLICML-c1-2013-BergstraYC #architecture #optimisation
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures (JB, DY, DDC), pp. 115–123.
ICMLICML-c2-2013-BardenetBKS #collaboration
Collaborative hyperparameter tuning (RB, MB, BK, MS), pp. 199–207.
KDDKDD-2013-ThorntonHHL #algorithm #classification #named #optimisation
Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms (CT, FH, HHH, KLB), pp. 847–855.
CIKMCIKM-2009-MasadaFTHSO #analysis #optimisation #topic
Dynamic hyperparameter optimization for bayesian topical trend analysis (TM, DF, AT, TH, YS, KO), pp. 1831–1834.
ICMLICML-2009-FooDN #algorithm #learning #multi
A majorization-minimization algorithm for (multiple) hyperparameter learning (CSF, CBD, AYN), pp. 321–328.
ICPRICPR-2008-LevadaMT #image #markov #modelling #on the #probability #random
On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling (ALML, NDAM, AT), pp. 1–4.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.