Cover Image

Simple Optimizers for Convex Aligned Multi-Objective Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kretzu, Ben, Ullrich, Karen, Efroni, Yonathan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Aligned Multi Objective Optimization
by: Efroni, Yonathan, et al.
Published: (2025)

Projection-Free Online Convex Optimization with Time-Varying Constraints
by: Garber, Dan, et al.
Published: (2024)

Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
by: Wu, Runzhe, et al.
Published: (2025)

Gradient Free Deep Reinforcement Learning With TabPFN
by: Schiff, David, et al.
Published: (2025)

Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs
by: Wu, Lili, et al.
Published: (2024)

RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
by: Kwon, Jeongyeol, et al.
Published: (2024)

Multi-Objective $\textit{min-max}$ Online Convex Optimization
by: Vaze, Rahul, et al.
Published: (2025)

Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank
by: Zhan, Wenhao, et al.
Published: (2024)

Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale
by: Roth, Amit, et al.
Published: (2026)

GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization
by: Li, Xingyu
Published: (2026)

Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape Templates
by: Tumu, Renukanandan, et al.
Published: (2023)

Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
by: Wald, Yoav, et al.
Published: (2025)

An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
by: Cao, Jincheng, et al.
Published: (2024)

Multi-Objective Causal Bayesian Optimization
by: Bhatija, Shriya, et al.
Published: (2025)

AYLA: Amplifying Gradient Sensitivity via Loss Transformation in Non-Convex Optimization
by: Keslaki, Ben
Published: (2025)

In-Context Multi-Objective Optimization
by: Zhang, Xinyu, et al.
Published: (2025)

Multi-Objective Reference-Aligned Machine Unlearning
by: Khosrowshahli, Rasa, et al.
Published: (2026)

Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
by: Jiao, Yang, et al.
Published: (2023)

Distributionally Robust Multi-Objective Optimization
by: Yang, Yufeng, et al.
Published: (2026)

Preferential Multi-Objective Bayesian Optimization
by: Astudillo, Raul, et al.
Published: (2024)

Are Convex Optimization Curves Convex?
by: Barzilai, Guy, et al.
Published: (2025)

Online Optimization on Hadamard Manifolds: Curvature Independent Regret Bounds on Horospherically Convex Objectives
by: Sahinoglu, Emre, et al.
Published: (2025)

Multi-Objective Reward and Preference Optimization: Theory and Algorithms
by: Agnihotri, Akhil
Published: (2025)

Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
by: Karl, Florian, et al.
Published: (2022)

Dynamic Hyperparameter Importance for Efficient Multi-Objective Optimization
by: Theodorakopoulos, Daphne, et al.
Published: (2026)

Multi-Objective Hierarchical Optimization with Large Language Models
by: Schwanke, Andrej, et al.
Published: (2026)

Offline Multi-Objective Optimization
by: Xue, Ke, et al.
Published: (2024)

Non-Myopic Multi-Objective Bayesian Optimization
by: Belakaria, Syrine, et al.
Published: (2024)

Scaffold-Based Multi-Objective Drug Candidate Optimization
by: Kruel, Agustin, et al.
Published: (2022)

Jacobian Descent for Multi-Objective Optimization
by: Quinton, Pierre, et al.
Published: (2024)

SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization
by: Papenmeier, Leonard, et al.
Published: (2026)

Simple Policy Optimization
by: Xie, Zhengpeng, et al.
Published: (2024)

Quality-Diversity Optimization as Multi-Objective Optimization
by: Lin, Xi, et al.
Published: (2026)

Safe Online Convex Optimization with Multi-Point Feedback
by: Hutchinson, Spencer, et al.
Published: (2024)

Multi-Objective Multi-Fidelity Bayesian Optimization with Causal Priors
by: Hossen, Md Abir, et al.
Published: (2026)

Multi-Objective Multi-Agent Bandits: From Learning Efficiency to Fairness Optimization
by: Wang, John, et al.
Published: (2026)

Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
by: Mhanna, Elissa, et al.
Published: (2024)

Preference-Guided Diffusion for Multi-Objective Offline Optimization
by: Annadani, Yashas, et al.
Published: (2025)

MOSS: Multi-Objective Optimization for Stable Rule Sets
by: Liu, Brian, et al.
Published: (2025)

Divide and Learn: Multi-Objective Combinatorial Optimization at Scale
by: Singh, Esha, et al.
Published: (2026)