Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints [PDF]
AAAI Conference on Artificial Intelligence, 2018 We study the problem of allocating indivisible items to agents with additive valuations, under the additional constraint that bundles must be connected in an underlying item graph.
Ayumi Igarashi, Dominik Peters
semanticscholar +3 more sources
Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose-volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy. [PDF]
Med Phys, 2020 Nguyen D +6 more
europepmc +3 more sources
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards [PDF]
Neural Information Processing Systems, 2023 Foundation models are first pre-trained on vast unsupervised datasets and then fine-tuned on labeled data. Reinforcement learning, notably from human feedback (RLHF), can further align the network with the intended usage.
Alexandre Ramé +6 more
semanticscholar +1 more source
Pareto-Optimal Quantized ResNet Is Mostly 4-bit [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 Quantization has become a popular technique to compress neural networks and reduce compute cost, but most prior work focuses on studying quantization without changing the network size. Many real-world applications of neural networks have compute cost and
AmirAli Abdolrashidi +6 more
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Clustering Analysis for the Pareto Optimal Front in Multi-Objective Optimization
De Computis, 2022 Bio-inspired algorithms are a suitable alternative for solving multi-objective optimization problems. Among different proposals, a widely used approach is based on the Pareto front.
L. A. Bejarano +2 more
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Optimal growth and Pareto optimality [PDF]
Journal of Mathematical Economics, 1991 Using the McKenzie-Montrucchio approach to optimal growth problems the authors show that in a stationary intertemporal economy with discrete infinite time span and recursive utilities for each of a finite numbers of agents, every Pareto optimum solution is a solution to a generalized McKenzie problem.
Dana Rose-anne, Le Van Cuong
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Approximate bi-criteria search by efficient representation of subsets of the Pareto-optimal frontier [PDF]
International Conference on Automated Planning and Scheduling, 2020 We consider the bi-criteria shortest-path problem where we want to compute shortest paths on a graph that simultaneously balance two cost functions. While this problem has numerous applications, there is usually no path minimizing both cost functions ...
Oren Salzman
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Journal of Asian Architecture and Building Engineering, 2023 As construction noise has been a major environmental emission from the construction sites, construction equipment allocation should be planned to preemptively manage construction noise emissions while considering productivity.
Hoyoung Baek +3 more
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Axial preferred solutions for multiobjective optimal control problems: An application to chemical processes [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2020 Detecting the Pareto optimal solutions on the Pareto frontier is one of the most important topics in multiobjective optimal control problems. In real-world control systems, there is needed for the decision-maker to apply their own opinion to find the ...
G.H. Askarirobati +2 more
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Jurnal Matematika Integratif, 2020 Teori optimisai merupakan salah satu disiplin ilmu matematika yang banyak diterapkan dalam dunia nyata. Hampir semua masalah optimisasi di dunia nyata memiliki banyak fungsi objektif (multiobjektive) yang harus dipenuhi secara simultan dan seringkali ...
Syarifah Inayati, Rahmawati Rahmawati
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