- 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
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"One of the great achievements of science has been, if not to make it impossible for intelligent people to be religious, then at least to make it possible for them not to be religious. We should not retreat from this accomplishment."― Steven Weinberg
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