:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Cao, Chunxu, Zhang, Qiang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2401.07488
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Study Features via Exploring Distribution Structure
di: Cao, Chunxu, et al.
Pubblicazione: (2024)

A Contrast Based Feature Selection Algorithm for High-dimensional Data set in Machine Learning
di: Cao, Chunxu, et al.
Pubblicazione: (2024)

Class-Conditional Distribution Balancing for Group Robust Classification
di: Zhao, Miaoyun, et al.
Pubblicazione: (2025)

Feature Selection Based on Wasserstein Distance
di: Li, Fuwei
Pubblicazione: (2024)

On the Limitation of Kernel Dependence Maximization for Feature Selection
di: Liu, Keli, et al.
Pubblicazione: (2024)

Closing the Gap between TD Learning and Supervised Learning with $Q$-Conditioned Maximization
di: Lei, Xing, et al.
Pubblicazione: (2025)

Distributionally Robust Feature Selection
di: Swaroop, Maitreyi, et al.
Pubblicazione: (2025)

Tabular Data Contrastive Learning via Class-Conditioned and Feature-Correlation Based Augmentation
di: Cui, Wei, et al.
Pubblicazione: (2024)

Fused Gromov-Wasserstein Distance with Feature Selection
di: Lee, Harlin, et al.
Pubblicazione: (2026)

Computing the Distance between unbalanced Distributions -- The flat Metric
di: Schmidt, Henri, et al.
Pubblicazione: (2023)

Distribution-Aware Feature Selection for SAEs
di: Oozeer, Narmeen, et al.
Pubblicazione: (2025)

Conditional Local Feature Encoding for Graph Neural Networks
di: Wang, Yongze, et al.
Pubblicazione: (2024)

Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
di: Liu, Yuhang, et al.
Pubblicazione: (2025)

Open Continual Feature Selection via Granular-Ball Knowledge Transfer
di: Cao, Xuemei, et al.
Pubblicazione: (2024)

Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information
di: Sergeev, Fedor, et al.
Pubblicazione: (2024)

Distributional Reinforcement Learning via the Cramér Distance
di: Aziz, Vanya, et al.
Pubblicazione: (2026)

Contextual Feature Selection with Conditional Stochastic Gates
di: Sristi, Ram Dyuthi, et al.
Pubblicazione: (2023)

Class-Level Feature Selection Method Using Feature Weighted Growing Self-Organising Maps
di: Starkey, Andrew, et al.
Pubblicazione: (2025)

Estimating Conditional Mutual Information for Dynamic Feature Selection
di: Gadgil, Soham, et al.
Pubblicazione: (2023)

Distance and Kernel-Based Measures for Global and Local Two-Sample Conditional Distribution Testing
di: Yan, Jian, et al.
Pubblicazione: (2022)

Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
di: Zhang, Xin, et al.
Pubblicazione: (2024)

New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem
di: Ichikawa, Koji, et al.
Pubblicazione: (2023)

Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization
di: de Mathelin, Antoine, et al.
Pubblicazione: (2023)

Distributional Causal Mediation via Conditional Generative Modeling
di: Zhang, Jinlun, et al.
Pubblicazione: (2026)

Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
di: Nguyen, Quang-Huy, et al.
Pubblicazione: (2024)

Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space
di: Zhang, Yukai, et al.
Pubblicazione: (2024)

Safe Distributionally Robust Feature Selection under Covariate Shift
di: Hanada, Hiroyuki, et al.
Pubblicazione: (2026)

MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives
di: Li, Xiang, et al.
Pubblicazione: (2026)

Fairness via Independence: A (Conditional) Distance Covariance Framework
di: Huang, Ruifan, et al.
Pubblicazione: (2024)

TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
di: Wahl, Stefan, et al.
Pubblicazione: (2024)

Measuring Differences between Conditional Distributions using Kernel Embeddings
di: Moskvichev, Peter, et al.
Pubblicazione: (2026)

Supervised Distributional Reduction via Optimal Transport and Dependence Maximization
di: Ramesh, Sai-Aakash, et al.
Pubblicazione: (2026)

Consistent Estimation of a Class of Distances Between Covariance Matrices
di: Pereira, Roberto, et al.
Pubblicazione: (2024)

Feature Selection via Robust Weighted Score for High Dimensional Binary Class-Imbalanced Gene Expression Data
di: Khan, Zardad, et al.
Pubblicazione: (2024)

Model Class Selection
di: Cecil, Ryan, et al.
Pubblicazione: (2025)

Causal Multi-Label Feature Selection in Federated Setting
di: Song, Yukun, et al.
Pubblicazione: (2024)

Representation Learning with Conditional Information Flow Maximization
di: Hu, Dou, et al.
Pubblicazione: (2024)

Distilling A Universal Expert from Clustered Federated Learning
di: Leng, Zeqi, et al.
Pubblicazione: (2025)

Seeing the Many: Exploring Parameter Distributions Conditioned on Features in Surrogates
di: Wang, Xiaohan, et al.
Pubblicazione: (2025)

Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance
di: Lin, Ya-Wei Eileen, et al.
Pubblicazione: (2025)