:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Lakhani, Jared N., Pienaar, Etienne
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computation
Online Access:	https://arxiv.org/abs/2511.19628
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Asynchronous Federated Stochastic Optimization for Heterogeneous Objectives Under Arbitrary Delays
by: Iakovidou, Charikleia, et al.
Published: (2024)

Hilbert curves for efficient exploratory landscape analysis neighbourhood sampling
by: Pienaar, Johannes J., et al.
Published: (2024)

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

Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
by: Zhang, Xuechen, et al.
Published: (2024)

SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix
by: Sen, Mrinmay, et al.
Published: (2024)

Federated Communication-Efficient Multi-Objective Optimization
by: Askin, Baris, et al.
Published: (2024)

Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting
by: Lu, Yining, et al.
Published: (2025)

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

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

Improving LLM Safety Alignment with Dual-Objective Optimization
by: Zhao, Xuandong, et al.
Published: (2025)

Preferential Multi-Objective Bayesian Optimization for Drug Discovery
by: Dang, Tai, et al.
Published: (2025)

MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples
by: Xie, Shuo, et al.
Published: (2024)

Uncovering Cross-Objective Interference in Multi-Objective Alignment
by: Lu, Yining, et al.
Published: (2026)

Models with Accelerated Failure Conditionals
by: Lakhani, Jared N.
Published: (2025)

Pseudo-Poisson Distributions with Nonlinear Conditional Rates
by: Lakhani, Jared N.
Published: (2025)

Extending the Accelerated Failure Conditionals Model to Location-Scale Families
by: Lakhani, Jared N.
Published: (2025)

Energy Considerations of Large Language Model Inference and Efficiency Optimizations
by: Fernandez, Jared, et al.
Published: (2025)

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization
by: Reijnen, Robbert, et al.
Published: (2025)

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization
by: Kim, Nayeong, et al.
Published: (2024)

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
by: Bai, Yang, et al.
Published: (2026)

Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning
by: Wu, Yuxin, et al.
Published: (2026)

MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection
by: Zhang, Lizhao, et al.
Published: (2026)

Objective Matters: Fine-Tuning Objectives Shape Safety, Robustness, and Persona Drift
by: Vennemeyer, Daniel, et al.
Published: (2026)

Jacobian Regularization Stabilizes Long-Term Integration of Neural Differential Equations
by: Janvier, Maya, et al.
Published: (2026)

Topological Spatial Graph Coarsening
by: Calissano, Anna, et al.
Published: (2025)

MO-CAPO: Multi-Objective Cost-Aware Prompt Optimization
by: Büssing, Jan, et al.
Published: (2026)

Adaptive Block Sparse Regularization under Arbitrary Linear Transform
by: Furuhashi, Takanobu, et al.
Published: (2024)

Recursive Learning of Asymptotic Variational Objectives
by: Mastrototaro, Alessandro, et al.
Published: (2024)

Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment
by: Singh, Ashwin, et al.
Published: (2026)

Smooth Tchebycheff Scalarization for Multi-Objective Optimization
by: Lin, Xi, et al.
Published: (2024)

Optimizing Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-Objective Algorithms
by: Neumann, Aneta, et al.
Published: (2020)

A Closed-Form Framework for Schrödinger Bridges Between Arbitrary Densities
by: Huang, Hanwen
Published: (2025)

Reinforcement Learning with $ω$-Regular Objectives and Constraints
by: Wagner, Dominik, et al.
Published: (2025)

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization
by: Lu, Peng, et al.
Published: (2023)

T-REG: Preference Optimization with Token-Level Reward Regularization
by: Zhou, Wenxuan, et al.
Published: (2024)

Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
by: Seurin, Paul, et al.
Published: (2023)

SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement
by: Sahoo, Subramanyam, et al.
Published: (2026)

Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions
by: Patel, Dhruvesh, et al.
Published: (2025)

Algorithmic Arbitrariness in Content Moderation
by: Gomez, Juan Felipe, et al.
Published: (2024)

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
by: Gupta, Avisek, et al.
Published: (2018)