:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Xu, Shizhou
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.04408
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Machine Unlearning via Information Theoretic Regularization
by: Xu, Shizhou, et al.
Published: (2025)

Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems
by: Wilms, Mieke, et al.
Published: (2026)

WHOMP: Optimizing Randomized Controlled Trials via Wasserstein Homogeneity
by: Xu, Shizhou, et al.
Published: (2024)

Federated Multi-Objective Learning with Controlled Pareto Frontiers
by: Rao, Jiansheng, et al.
Published: (2025)

On the (In)Compatibility between Group Fairness and Individual Fairness
by: Xu, Shizhou, et al.
Published: (2024)

The Pareto Frontier of Resilient Jet Tagging
by: Gambhir, Rikab, et al.
Published: (2025)

No Certificate for Alignment: Two Independent Impossibilities and the Pareto Frontier of Achievable Safety Guarantees
by: Agarwal, Ayushi
Published: (2026)

BigMac: Breaking the Pareto Frontier of Compute and Memory in Multimodal LLM Training
by: Zhang, Zili, et al.
Published: (2026)

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
by: Yao, Yihang, et al.
Published: (2026)

MPM-LLM4DSE: Reaching the Pareto Frontier in HLS with Multimodal Learning and LLM-Driven Exploration
by: Xu, Lei, et al.
Published: (2026)

Forgetting-MarI: LLM Unlearning via Marginal Information Regularization
by: Xu, Shizhou, et al.
Published: (2025)

Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings
by: Mai, Phuong Dinh, et al.
Published: (2024)

COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier
by: Luo, Gaoxiang, et al.
Published: (2025)

A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems
by: Zhou, Yichu, et al.
Published: (2026)

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis
by: Nahin, Shahriar Kabir, et al.
Published: (2025)

Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization
by: Li, Jinzhao, et al.
Published: (2026)

Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals
by: Liu, Ziyi, et al.
Published: (2024)

FUPareto: Bridging the Forgetting-Utility Gap in Federated Unlearning via Pareto Augmented Optimization
by: Wang, Zeyan, et al.
Published: (2026)

Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging
by: Hu, Tiancheng, et al.
Published: (2025)

The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy
by: Emadi, Seyed Morteza
Published: (2026)

Separable Computation of Information Measures
by: Xu, Xiangxiang, et al.
Published: (2025)

Adaptive Combinatorial Experimental Design: Pareto Optimality for Decision-Making and Inference
by: Xie, Hongrui, et al.
Published: (2026)

Refining the Information Bottleneck via Adversarial Information Separation
by: Ning, Shuai, et al.
Published: (2026)

Knowing the Unknown: Interpretable Open-World Object Detection via Concept Decomposition Model
by: Lv, Xueqiang, et al.
Published: (2026)

Information Theoretic Lower Bounds for Information Theoretic Upper Bounds
by: Livni, Roi
Published: (2023)

Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
by: Wen, Yibo, et al.
Published: (2024)

Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
by: Ye, Rongguang, et al.
Published: (2024)

Pareto optimal proxy metrics
by: Zito, Alessandro, et al.
Published: (2023)

Information-Theoretic Criteria for Knowledge Distillation in Multimodal Learning
by: Xie, Rongrong, et al.
Published: (2025)

On Pareto Optimality for Parametric Choice Bandits
by: Zuo, Jierui, et al.
Published: (2025)

Pareto Set Identification With Posterior Sampling
by: Kone, Cyrille, et al.
Published: (2024)

Amortized Active Generation of Pareto Sets
by: Steinberg, Daniel M., et al.
Published: (2025)

Utility Theory of Synthetic Data Generation
by: Xu, Shirong, et al.
Published: (2023)

Multi-level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL
by: Su, Shibin, et al.
Published: (2025)

Model-Agnostic Utility-Preserving Biometric Information Anonymization
by: Chen, Chun-Fu, et al.
Published: (2024)

Enhancing the Utility of Higher-Order Information in Relational Learning
by: Pellegrin, Raphael, et al.
Published: (2025)

Pareto Smoothed Importance Sampling
by: Vehtari, Aki, et al.
Published: (2015)

Constrained Pareto Set Identification with Bandit Feedback
by: Kone, Cyrille, et al.
Published: (2025)

Efficient Fairness-Performance Pareto Front Computation
by: Kozdoba, Mark, et al.
Published: (2024)

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning
by: Gu, Hanlin, et al.
Published: (2023)