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1Application of Modified Scheffe’s Third Degree Polynomial Model for the Optimization of Compressive Strength of Nylon Fibre Reinforced Concrete NFRC
K. Attah. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (3): 1488-1501 (March 2022)
2 years ago by @ijtsrd
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Compressive
Mixture
Design
3)
Polynomial
Scheffe’s
Model
(5
NFRC
Optimization
Strength
CompressiveMixtureDesign3)PolynomialScheffe’sModel(5NFRCOptimizationStrength
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1Finite Element Analysis and Optimization of Pressure Line Filter of 250bar
S. Karne, and S. Bapat. International Journal of Innovative Science and Modern Engineering (IJISME), 3 (7): 24-29 (June 2015)
3 years ago by @ijisme_beiesp
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FEA
optimization
design
ANSYS
filter
FEAoptimizationdesignANSYSfilter
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1Globally convergent block-coordinate techniques for unconstrained optimization
L. Grippof, and M. Sciandrone. Optimization Methods & Software, (1999)
3 years ago by @andolab
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Optimization
Optimization
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1Simulation of Package Delivery Optimization using a Combination of Carriers and Drop-Ship
V. Yanchuk, A. Tkachuk, D. Antoniuk, T. Vakaliuk, and A. Humeniuk. International Journal of Computer Science & Information Technology (IJCSIT), 12 (6): 33 - 44 (December 2020)
4 years ago by @shamerjose
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Simulation
Customer
E-commerce
Behavior
Drop-Ship
Optimization
SimulationCustomerE-commerceBehaviorDrop-ShipOptimization
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2Tight Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
B. Bilodeau, D. Foster, and D. Roy. (2020)cite arxiv:2007.01160Comment: 25 pages.
4 years ago by @kirk86
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readings
optimization
bounds
game-theory
readingsoptimizationboundsgame-theory
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1Energy Efficient Resource Allocation and Relay Selection Schemes for D2D Communications in 5G Wireless Networks
S. Selvi. International Journal of Trend in Scientific Research and Development, 4 (3): 788-794 (April 2020)
4 years ago by @ijtsrd
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optimization
D2D
Full-duplex
relaying
matching
communication
multi-objective
theory
optimizationD2DFull-duplexrelayingmatchingcommunicationmulti-objectivetheory
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4Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations
E. Fredericks, I. Gerostathopoulos, C. Krupitzer, and T. Vogel. Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2019, IEEE, (June 2019)
5 years ago by @se-group
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Internet_of_Things
Cyber-Physical_Systems
descartes
Self-aware-computing
Multi-criteria_optimization
Self-adaptive-systems
Intelligent_Transportation_Systems
Optimization
Internet_of_ThingsCyber-Physical_SystemsdescartesSelf-aware-computingMulti-criteria_optimizationSelf-adaptive-systemsIntelligent_Transportation_SystemsOptimization
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4Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations
E. Fredericks, I. Gerostathopoulos, C. Krupitzer, and T. Vogel. Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2019, IEEE, (June 2019)
5 years ago by @chris.krupitzer
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Internet_of_Things
myown
Cyber-Physical_Systems
descartes
Self-aware-computing
Multi-criteria_optimization
Self-adaptive-systems
Intelligent_Transportation_Systems
Optimization
Internet_of_ThingsmyownCyber-Physical_SystemsdescartesSelf-aware-computingMulti-criteria_optimizationSelf-adaptive-systemsIntelligent_Transportation_SystemsOptimization
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3On the Global Convergence of Training Deep Linear ResNets
D. Zou, P. Long, and Q. Gu. International Conference on Learning Representations, (2020)
5 years ago by @kirk86
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convergence
optimization
iclr2020
theory
convergenceoptimizationiclr2020theory
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2Lipschitz and Comparator-Norm Adaptivity in Online Learning
Z. Mhammedi, and W. Koolen. (2020)cite arxiv:2002.12242Comment: 30 Pages, 1 Figure.
5 years ago by @kirk86
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readings
optimization
online-learning
readingsoptimizationonline-learning
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3No-Regret and Incentive-Compatible Online Learning
R. Freeman, D. Pennock, C. Podimata, and J. Vaughan. (2020)cite arxiv:2002.08837.
5 years ago by @kirk86
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optimization
online-learning
optimizationonline-learning
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1An Improved Acceptance Procedure for the Hybrid Monte Carlo Algorithm
R. Neal. (1992)cite arxiv:hep-lat/9208011Comment: 15 pages, 4 figures (only one of which is present), New version with corrected LaTex, Submitted to J. of Comp. Physics.
5 years ago by @kirk86
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bayesian
optimization
mcmc
bayesianoptimizationmcmc
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1The Proximal Robbins–Monro Method
P. Toulis, T. Horel, and E. Airold. (2017)
5 years ago by @kirk86
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readings
optimization
stochastic
readingsoptimizationstochastic
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1The Nonstochastic Control Problem
E. Hazan, S. Kakade, and K. Singh. (2019)cite arxiv:1911.12178Comment: To appear at Algorithmic Learning Theory (ALT) 2020; small revisions from the last ver.
5 years ago by @kirk86
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optimization
non-linear
optimizationnon-linear
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3How to Escape Saddle Points Efficiently
C. Jin, R. Ge, P. Netrapalli, S. Kakade, and M. Jordan. (2017)cite arxiv:1703.00887.
5 years ago by @stdiff
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optimization
optimization
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1Prescribed Generative Adversarial Networks
A. Dieng, F. Ruiz, D. Blei, and M. Titsias. (2019)cite arxiv:1910.04302Comment: Code for this paper can be found at https://github.com/adjidieng/PresGANs.
5 years ago by @kirk86
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optimization
generative-models
adversarial
mode-collapse
optimizationgenerative-modelsadversarialmode-collapse
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4Stochastic Variational Inference
M. Hoffman, D. Blei, C. Wang, and J. Paisley. Journal of Machine Learning Research, (2013)
5 years ago by @kirk86
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variational
optimization
stochastic
variationaloptimizationstochastic
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1Adapting Auxiliary Losses Using Gradient Similarity
Y. Du, W. Czarnecki, S. Jayakumar, R. Pascanu, and B. Lakshminarayanan. (2018)cite arxiv:1812.02224.
5 years ago by @kirk86
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optimization
objectives
optimizationobjectives
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2Stochastic Gradient Descent as Approximate Bayesian Inference
S. Mandt, M. Hoffman, and D. Blei. (2017)cite arxiv:1704.04289Comment: 35 pages, published version (JMLR 2017).
5 years ago by @kirk86
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approximate
bayesian
readings
optimization
approximatebayesianreadingsoptimization
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2Online Control with Adversarial Disturbances
N. Agarwal, B. Bullins, E. Hazan, S. Kakade, and K. Singh. (2019)cite arxiv:1902.08721.
5 years ago by @kirk86
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optimization
adversarial
robustness
optimizationadversarialrobustness
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