From Dual Tracking to Clipping: Provably Faster Distributionally Robust Multi-Objective Optimization
cs.LG, math.OC
Submitted: 2026-05-07
Updated: 2026-09-26
Terminology
Sources
- Unifying Distributionally Robust Optimization via Optimal Transport Theory
- Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond
- Multi-Task Learning with Deep Neural Networks: A Survey
- Explaining and Harnessing Adversarial Examples
- RotoGrad: Gradient Homogenization in Multitask Learning
- Adam: A Method for Stochastic Optimization
- Stochastic Constrained DRO with a Complexity Independent of Sample Size
- Certifying Some Distributional Robustness with Principled Adversarial Training
- Why gradient clipping accelerates training: A theoretical justification for adaptivity
- MGDA Converges under Generalized Smoothness, Provably
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