- Constructive Preference Elicitation
- An investigation on preference order ranking scheme for multiobjective evolutionary optimization
- Solving Multiple Objective Programming Problems Using Feed-forward Artificial Neural Networks: The Interactive FFANN Procedure
- Regression Models with Ordinal Variables
- Constraints, Optimization and Data
- Automating Layout Synthesis with Constructive Preference Elicitation
- Multi-objective Bayesian optimisation with preferences over objectives
- Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points
- Progressively Interactive Evolutionary Multiobjective Optimization
- Active Learning Of Pareto Fronts
- Deep Reinforcement Learning from Human Preferences
- Loss Functions for Top-k Error: Analysis and Insights
- Multi-attribute Bayesian optimization with interactive preference learning
- Using Choquet Integral as Preference Model in Interactive Evolutionary Multiobjective Optimization
- A framework for Visually Interactive Decision-making and Design using Evolutionary Multi-objective Optimization
- Learning Value Functions in Interactive Evolutionary Multiobjective Optimization
- Integrating user preferences with particle swarms for multi-objective optimization
- Integration of Preferences in Decomposition Multiobjective Optimization
- Learning to Order Things
- Constructive Preference Elicitation by Setwise Max-margin Learning
- Constructive Preference Elicitation over Hybrid Combinatorial Spaces
- Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions
- Active Learning Literature Survey
- R2-based Hypervolume Contribution Approximation
- Brain–Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker
- An interactive simple indicator-based evolutionary algorithm (I-SIBEA) for multiobjective optimization problems
- Learning to Adaptively Rank Document Retrieval System Configurations
- Coactive Critiquing: Elicitation of Preferences and Features
- Top-k Ranking Bayesian Optimization
- Why Use Interactive Multi-Objective Optimization in Chemical Process Design?
- Preference Learning
- Preference Learning with Extreme Examples
- Normal Vector Identification and Interactive Tradeoff Analysis Using Minimax Formulation in Multiobjective Optimization
- Dealing with Mislabeling via Interactive Machine Learning
- Simple, Robust and Optimal Ranking from Pairwise Comparisons
- Efficiently learning the preferences of people
- Interactive Multiple Objective Programming Using Tchebycheff Programs and Artificial Neural Networks
- Preference learning along multiple criteria: A game-theoretic perspective
- A Progressively Interactive MCDM Method for Portfolio Optimization Problem
- Approximate ranking from pairwise comparisons
- Top-K Ranking from Pairwise Comparisons: When Spectral Ranking is Optimal
- A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization
- Multi-task Learning For Document Ranking And Query Suggestion
- Rank Centrality: Ranking from Pair-wise Comparisons
- A mini-review on preference modeling and articulation in multi-objective optimization: current status and challenges
- Learning Modulo Theories for preference elicitation in hybrid domains
- Learning Preference Models in Recommender Systems
- A Probabilistic Method for Inferring Preferences from Clicks
- Feature Subset Selection for Learning Preferences: A Case Study
- Learning to Top-K Search using Pairwise Comparisons
- A Mixed-initiative System For Interactive Tactical Supply-chain Optimization
- Active Ranking using Pairwise Comparisons
- Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons
- Efficient Ranking from Pairwise Comparisons
- Active Learning for Large Multi-class Problems
- Predictive Modeling of Expressed Emotions in Music Using Pairwise Comparisons
- Introduction to Multiobjective Optimization: Interactive Approaches
- Gradient projection and local region search for multiobjective optimisation
- Noise-Tolerant Interactive Learning Using Pairwise Comparisons
- Collaborative Gaussian Processes for Preference Learning
- Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking
- Preference Articulation by Means of the R2 Indicator
- SVM Tutorial: Classification, Regression, and Ranking
- Pairwise Preference Learning and Ranking
- Pairwise Ranking Aggregation in a Crowdsourced Setting
- A Preference-based Interactive Evolutionary algorithm for multi-objective optimization
- I-MODE: An Interactive Multi-Objective Optimization and Decision-Making using Evolutionary Methods
- Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization
- Gaussian Processes for Ordinal Regression
- Preference Learning: An Introduction
- Adapting Boosting for Information Retrieval Measures
- Active learning of Pareto fronts with disconnected feasible decision and objective spaces
- Active Learning of Label Ranking Functions
- Structured Feedback for Preference Elicitation in Complex Domains
- From RankNet to LambdaRank to LambdaMART: An Overview
- Pairwise Preference Learning and Ranking
- Learning to Rank with Nonsmooth Cost Functions
- Learning Subjective Functions with Large Margins
- A Survey on Practical Applications of Multi-Armed and Contextual Bandits
- A Review of Hybrid Evolutionary Multiple Criteria Decision Making Methods
- Constraint Classification for Multiclass Classification and Ranking
- Log-Linear Models for Label Ranking
- Learning Preferences for Multiclass Problems
- The Preference Learning Toolbox