Everywhere Learning: Artificial Intelligence with Pointwise Constraints
cs.LG, eess.SP
Submitted: 2026-06-01
Updated: 2026-10-02
Terminology
Sources
- Robust Learning Through Cross-Task Consistency
- Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization
- Multi-Task Learning with Deep Neural Networks: A Survey
- Alignment of large language models with constrained learning
- Near-Optimal Solutions of Constrained Learning Problems
- Learning Optimal Power Flow with Pointwise Constraints
- Feasible Learning
- Every Sample Counts: Supervised Fine-Tuning of Language Models with Pointwise Constraints
- Probably Approximately Correct Constrained Learning
- Theory and Applications of Robust Optimization
- Robust Optimization using Machine Learning for Uncertainty Sets
- Strong Duality in Risk-Constrained Nonconvex Functional Programming
- Generalization Bounds for Stochastic Saddle Point Problems
- What is a Good Metric to Study Generalization of Minimax Learners?
- Train simultaneously, generalize better: Stability of gradient-based minimax learners
- GNNs as Predictors of Agentic Workflow Performances
- Evaluating Large Language Models Trained on Code
- Program Synthesis with Large Language Models
- AFlow: Automating Agentic Workflow Generation
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