Application Proficiency
Application proficiency focuses on optimizing the performance and efficiency of algorithms and models across diverse applications, aiming to improve accuracy, speed, and resource utilization. Current research emphasizes developing robust methods for handling model uncertainties and constraints, often employing Bayesian optimization, metaheuristics, and deep learning architectures like convolutional neural networks and transformers. This field is crucial for advancing various domains, from real-time control systems and fraud detection to personalized medicine and environmental monitoring, by enabling the effective deployment of sophisticated computational tools.
900papers
Papers - Page 20
February 9, 2024
Scalable Kernel Logistic Regression with Nyström Approximation: Theoretical Analysis and Application to Discrete Choice Modelling
José Ángel Martín-Baos, Ricardo García-Ródenas, Luis Rodriguez-Benitez, Michel BierlaireValue-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading
Abhijin Adiga, Yohai Trabelsi, Tanvir Ferdousi, Madhav Marathe, S. S. Ravi, Samarth Swarup, Anil Kumar Vullikanti, Mandy L. Wilson, Sarit Kraus+6On the Fly Detection of Root Causes from Observed Data with Application to IT Systems
Lei Zan, Charles K. Assaad, Emilie Devijver, Eric Gaussier
February 8, 2024
An Inexact Halpern Iteration with Application to Distributionally Robust Optimization
Ling Liang, Kim-Chuan Toh, Jia-Jie ZhuEfficient Expression Neutrality Estimation with Application to Face Recognition Utility Prediction
Marcel Grimmer, Raymond N. J. Veldhuis, Christoph BuschMixture Density Networks for Classification with an Application to Product Bundling
Narendhar Gugulothu, Sanjay P. Bhat, Tejas Bodas
February 6, 2024
January 18, 2024
Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review
Lars Ericson, Xuejun Zhu, Xusi Han, Rao Fu, Shuang Li, Steve Guo, Ping HuAn optimization-based equilibrium measure describes non-equilibrium steady state dynamics: application to edge of chaos
Junbin Qiu, Haiping HuangLearning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments
Zhaohan Feng, Jie Chen, Wei Xiao, Jian Sun, Bin Xin, Gang Wang