tag :: optimization | BibSonomy

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1Kevin J. Kircher Notes - Cornell
- Robust and stochastic optimization - Convex analysis - Linear programming - Monte Carlo simulation - Model-based estimation - Matrix algebra review - Probability and statistics basics
11 days ago by @analyst
linear-algebralinear-programmingmatrixmcmcoptimizationprobabilitystatistics
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2A bird-eye view of optimization algorithms
http://fa.bianp.net/teaching/2018/eecs227at/
a month ago by @analyst
optimizationtutorial
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2A birds-eye view of optimization algorithms
http://fa.bianp.net/teaching/2018/eecs227at/
a month ago by @topel
mathoptimization
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1derivative operator is unbounded in the sup norm
https://planetmath.org/derivativeoperatorisunboundedinthesupnorm
3 months ago by @knaevelboerrar
optimizationmathematics
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4An overview of gradient descent optimization algorithms
http://ruder.io/optimizing-gradient-descent/
4 months ago by @topel
optimization
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1Linear Programming with Python and PuLP – Part 1 – Ben Alex Keen
http://benalexkeen.com/linear-programming-with-python-and-pulp-part-1/
4 months ago by @analyst
articlebloglibrarylinear-programmingoptimizationpythontutorial
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1Chronicle of Optimization with perf and C | Metric Panda Games
Note: You can find the source code for the optimized version of poly2tri on Github.I needed a fast and robust mesh triangulation solution for Metric Panda Engine and after some ...
5 months ago by @analyst
Carticleblogoptimizationprogrammingtriangulation
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4An overview of gradient descent optimization algorithms
http://ruder.io/optimizing-gradient-descent/
6 months ago by @jk_itwm
optimizationsgd
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1Efficient Online and Batch Learning Using Forward Backward Splitting
http://www.jmlr.org/papers/volume10/duchi09a/duchi09a.pdf
6 months ago by @loroch
dual_averaginglearningoptimization
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1Primal-dual subgradient methods for convex problems
http://ium.mccme.ru/postscript/s12/GS-Nesterov%20Primal-dual.pdf
6 months ago by @loroch
deep_learningdual_averagingoptimization
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1Optimization Perspectives on Learning to Control | ICML 2018
https://people.eecs.berkeley.edu/~brecht/l2c-icml2018/
6 months ago by @analyst
2018controlicmloptimizationreinforcement-learningtutorial
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1Convex Conjgate
https://people.ok.ubc.ca/bauschke/Research/68.pdf
6 months ago by @knaevelboerrar
mathematicsoptimization
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1How Image Optimisation Decreased my Website's Page Weight by 62%
https://freshman.tech/image-optimisation/
6 months ago by @bshanks
compresscompressionimageoptimizationoptimizeperfpicturewebdev
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1Adaptive Bound Optimization for Online Convex Optimization
https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36483.pdf
6 months ago by @loroch
optimization
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11506.01186.pdf
https://arxiv.org/pdf/1506.01186.pdf
6 months ago by @loroch
deep_learningoptimization
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1duchi11a.dvi
http://www.jmlr.org/papers/volume12/duchi11a/duchi11a.pdf
6 months ago by @loroch
deep_learningoptimization
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1Manopt
Manopt is a Matlab toolbox for optimization on manifolds.
7 months ago by @achakraborty
librarymanifoldmatlaboptimizationtoolkit
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1An overview of gradient descent optimization algorithms
http://ruder.io/optimizing-gradient-descent/index.html
7 months ago by @hprop
gradientmachine-learningoptimization
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1TAUCS, a Library of Sparse Linear Solvers
http://www.tau.ac.il/%7Estoledo/taucs/
8 months ago by @achakraborty
c-languagelibrarylinear-algebraoptimization
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1CoMISo - Constrained Mixed-Integer Solver
Computer Graphics and Multimedia, RWTH Aachen
8 months ago by @achakraborty
algebragermanygraphicsoptimization
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2Don't decay the learning rate, increase the batch size
S. Smith, P. Kindermans, C. Ying, and Q. Le. arXiv preprint arXiv:1711.00489 (2017)
5 days ago by @loroch
batch_sizedeep_learninglearning_rateoptimizationscaling
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2Accelerating stochastic gradient descent using predictive variance reduction
R. Johnson, and T. Zhang. Advances in neural information processing systems, page 315--323. (2013)
5 days ago by @loroch
optimizationvariance_reduction
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2How Does Batch Normalization Help Optimization?(No, It Is Not About Internal Covariate Shift)
S. Santurkar, D. Tsipras, A. Ilyas, and A. Madry. arXiv preprint arXiv:1805.11604 (2018)
11 days ago by @loroch
batch_normalizationdeep_learningoptimization
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3Adding One Neuron Can Eliminate All Bad Local Minima
S. Liang, R. Sun, J. Lee, and R. Srikant. arXiv preprint arXiv:1805.08671 (2018)
11 days ago by @loroch
deep_learningoptimization
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1Visual Analysis of Discrete Particle Swarm Optimization Using Fitness Landscapes
S. Volke, S. Bin, D. Zeckzer, M. Middendorf, and G. Scheuermann. Recent Advances in the Theory and Application of Fitness Landscapes, volume 6 of Emergence, Complexity and Computation, Springer Berlin Heidelberg, (2014)
12 days ago by @aksw
2014landscapeoptimizationsbinvisualization
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3Comparing the Optimization Behaviour of Heuristics with Topology Based Visualization
S. Bin, S. Volke, G. Scheuermann, and M. Middendorf. Theory and Practice of Natural Computing, volume 8890 of Lecture Notes in Computer Science, Springer International Publishing, (2014)
12 days ago by @aksw
2014landscapeoptimizationsbinvisualization
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2Neural Ordinary Differential Equations
R. Chen, Y. Rubanova, J. Bettencourt, and D. Duvenaud. (2018)cite arxiv:1806.07366.
a month ago by @jpvaldes
deep_learningmachine_learningoptimization
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2Optimal classification trees
D. Bertsimas, and J. Dunn. Machine Learning 106 (7): 1039--1082 (Jul 1, 2017)
a month ago by @carand
decision_treemachine_learningoptimization
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1Genetic Algorithm For The Travelling Salesman Problem using Enhanced Sequential Constructive Crossover Operator
H. Bennaceur, and E. Alanzi. International Journal of Computer Science and Security (IJCSS) 11 (3): 42-52 (June 2017)
a month ago by @cscjournals
Algorithm,ConstructiveCrossoverGeneticOptimizationProblem,SalesmanSequentialTraveling
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1A Critical Study on Digital Marketing with Reference to Different Components of Digital Marketing
M. Yallatti. International Journal of Trend in Scientific Research and Development (October 2018)
a month ago by @ijtsrd
DigitalE-mailEngineMarketingSearchmanagementmarketingoptimization
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1A Study on SEO Monitoring System Based on Corporate Website Development
R. Kumar, and S. Saini. International Journal of Computer Science, Engineering and Information Technology (IJCSEIT) 1 (2): 42-49 (June 2011)
a month ago by @ijcseit
DesignEngineInternetMarketingMethodsOptimizationPageRankSearchWebsite
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3A Bayesian Perspective on Generalization and Stochastic Gradient Descent.
S. Smith, and Q. Le. (2017)cite arxiv:1710.06451Comment: 13 pages, 9 figures. Published as a conference paper at ICLR 2018.
a month ago by @jpvaldes
bayesiandeep_learningoptimization
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2New insights and perspectives on the natural gradient method.
J. Martens. (2014)cite arxiv:1412.1193Comment: Many small revisions/corrections throughout , Added a section on 2nd-order methods and future work.
a month ago by @jpvaldes
optimization
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8An overview of gradient descent optimization algorithms.
S. Ruder. (2016)cite arxiv:1609.04747Comment: Added derivations of AdaMax and Nadam.
a month ago by @jpvaldes
gradient_descentoptimizationreview
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3Adaptive Three Operator Splitting.
F. Pedregosa, and G. Gidel. (2018)cite arxiv:1804.02339.
a month ago by @jpvaldes
fused-lassooptimizationstructured_sparsitytotal_variationtrend_filter
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2Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms.
M. Blondel, A. Martins, and V. Niculae. (2018)cite arxiv:1805.09717.
a month ago by @jpvaldes
Fenchel-Young_lossesclassificationoptimizationstructured_sparsity
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2Approximate message-passing for convex optimization with non-separable penalties.
A. Manoel, F. Krzakala, G. Varoquaux, B. Thirion, and L. Zdeborová. (2018)cite arxiv:1809.06304Comment: 18 pages, 6 figures.
a month ago by @jpvaldes
admmdecodingfistafmrifused-lassomachine_learningoptimizationstructured_sparsitytotal_variation
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1Optimal rates for zero-order convex optimization: the power of two function evaluations
J. Duchi, M. Jordan, M. Wainwright, and A. Wibisono. (Aug 20, 2014)
a month ago by @jpvaldes
derivative_freeoptimization
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2Nonsmooth optimization via quasi-Newton methods
A. Lewis, and M. Overton. Mathematical Programming 141 (1-2): 135--163 (Feb 16, 2013)
a month ago by @jpvaldes
optimization
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2Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
J. Townsend, N. Koep, and S. Weichwald. (Sep 8, 2016)
a month ago by @jpvaldes
pythonoptimization
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