Copertina

Lexicographic optimization-based approaches to learning a representative model for multi-criteria sorting with non-monotonic criteria

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Zhen, Li, Zhuolin, Yu, Wenyu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting
di: Li, Zhuolin, et al.
Pubblicazione: (2024)

A multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers
di: Stępka, Ignacy, et al.
Pubblicazione: (2024)

Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
di: Forouzandeh, Saman, et al.
Pubblicazione: (2025)

Exploring the impact of fairness-aware criteria in AutoML
di: Simões, Joana, et al.
Pubblicazione: (2026)

Thresholded Lexicographic Ordered Multiobjective Reinforcement Learning
di: Tercan, Alperen, et al.
Pubblicazione: (2024)

Beyond Scalar Rewards: An Axiomatic Framework for Lexicographic MDPs
di: Shakerinava, Mehran, et al.
Pubblicazione: (2025)

LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration
di: Qiu, Ruiyu, et al.
Pubblicazione: (2025)

Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits
di: Xue, Bo, et al.
Pubblicazione: (2025)

Text-guided multi-property molecular optimization with a diffusion language model
di: Xiong, Yida, et al.
Pubblicazione: (2024)

SortBench: Benchmarking LLMs based on their ability to sort lists
di: Herbold, Steffen
Pubblicazione: (2025)

Causal prompting model-based offline reinforcement learning
di: Yu, Xuehui, et al.
Pubblicazione: (2024)

Vertical LoRA: Dense Expectation-Maximization Interpretation of Transformers
di: Fu, Zhuolin
Pubblicazione: (2024)

Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
di: Rahmani, Abdellah, et al.
Pubblicazione: (2025)

Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks
di: Mei, Taiyuan, et al.
Pubblicazione: (2024)

Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning
di: Ly, Adrian, et al.
Pubblicazione: (2025)

An end-to-end attention-based approach for learning on graphs
di: Buterez, David, et al.
Pubblicazione: (2024)

Dynamic technology impact analysis: A multi-task learning approach to patent citation prediction
di: Seol, Youngjin, et al.
Pubblicazione: (2024)

Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach
di: Mirbakhsh, Shahin, et al.
Pubblicazione: (2024)

A 3D pocket-aware and affinity-guided diffusion model for lead optimization
di: Qiao, Anjie, et al.
Pubblicazione: (2025)

Representative Arm Identification: A fixed confidence approach to identify cluster representatives
di: Gharat, Sarvesh, et al.
Pubblicazione: (2024)

Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning
di: Dai, Wenfeng, et al.
Pubblicazione: (2025)

Generative method for aerodynamic optimization based on classifier-free guided denoising diffusion probabilistic model
di: Deng, Shisong, et al.
Pubblicazione: (2025)

CHARME: A chain-based reinforcement learning approach for the minor embedding problem
di: Ngo, Hoang M., et al.
Pubblicazione: (2024)

Machine learning and optimization-based approaches to duality in statistical physics
di: Ferrari, Andrea E. V., et al.
Pubblicazione: (2024)

Rate optimal learning of equilibria from data
di: Freihaut, Till, et al.
Pubblicazione: (2025)

Balancing optimism and pessimism in offline-to-online learning
di: Sentenac, Flore, et al.
Pubblicazione: (2025)

Shadowed AHP for multi-criteria supplier selection
di: El-Hawy, Mohamed Abdel Hameed
Pubblicazione: (2024)

Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model
di: Moen, Hans, et al.
Pubblicazione: (2024)

Constrained multi-fidelity Bayesian optimization with automatic stop condition
di: Foumani, Zahra Zanjani, et al.
Pubblicazione: (2025)

From model-based learning to model-free behaviour with Meta-Interpretive Learning
di: Patsantzis, Stassa
Pubblicazione: (2025)

Cross-talk based multi-task learning for fault classification of machine system influenced by multiple variables
di: Yi, Wonjun, et al.
Pubblicazione: (2026)

Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling
di: Yi, Jiaxiang, et al.
Pubblicazione: (2025)

Agentic reinforcement learning empowers next-generation chemical language models for molecular design and synthesis
di: Li, Hao, et al.
Pubblicazione: (2026)

DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data
di: Pan, Liangrui, et al.
Pubblicazione: (2023)

Aligning LLM agents with human learning and adjustment behavior: a dual agent approach
di: Liu, Tianming, et al.
Pubblicazione: (2025)

DeepLogit: A sequentially constrained explainable deep learning modeling approach for transport policy analysis
di: Oon, Jeremy, et al.
Pubblicazione: (2025)

REFA: Reference Free Alignment for multi-preference optimization
di: Gupta, Taneesh, et al.
Pubblicazione: (2024)

Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
di: Hutson, Miles, et al.
Pubblicazione: (2024)

Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning
di: Champion, Théophile, et al.
Pubblicazione: (2024)

Adaptive multiple optimal learning factors for neural network training
di: Challagundla, Jeshwanth
Pubblicazione: (2024)