Image de couverture de livre

Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Naram, Jayadev, Hellström, Fredrik, Wang, Ziming, Jörnsten, Rebecka, Durisi, Giuseppe
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SE(3)-bi-equivariant Transformers for Point Cloud Assembly
par: Wang, Ziming, et autres
Publié: (2024)

Partial Distribution Matching via Partial Wasserstein Adversarial Networks
par: Wang, Zi-Ming, et autres
Publié: (2024)

Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
par: Hellström, Fredrik, et autres
Publié: (2023)

Partially Lazy Gradient Descent for Smoothed Online Learning
par: Mhaisen, Naram, et autres
Publié: (2026)

Learning Partial Graph Matching via Optimal Partial Transport
par: Ratnayaka, Gathika, et autres
Publié: (2024)

Bi-level Unbalanced Optimal Transport for Partial Domain Adaptation
par: Chen, Zi-Ying, et autres
Publié: (2025)

Partial Identifiability for Domain Adaptation
par: Kong, Lingjing, et autres
Publié: (2023)

Equivariant Flow Matching for Point Cloud Assembly
par: Wang, Ziming, et autres
Publié: (2025)

Controlled Generation of Unseen Faults for Partial and Open-Partial Domain Adaptation
par: Rombach, Katharina, et autres
Publié: (2022)

Sparse Partial Optimal Transport via Quadratic Regularization
par: Tran, Khang, et autres
Publié: (2025)

Partial Distribution Alignment via Adaptive Optimal Transport
par: Yang, Pei, et autres
Publié: (2025)

Partial Transportability for Domain Generalization
par: Jalaldoust, Kasra, et autres
Publié: (2025)

Differentially Private Domain Adaptation with Theoretical Guarantees
par: Bassily, Raef, et autres
Publié: (2023)

Accelerated Sinkhorn Algorithms for Partial Optimal Transport
par: Truong, Nghia Thu, et autres
Publié: (2026)

Linear Optimal Partial Transport Embedding
par: Bai, Yikun, et autres
Publié: (2023)

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
par: Chanda, Prateek, et autres
Publié: (2026)

Partial Domain Adaptation via Importance Sampling-based Shift Correction
par: Guo, Cheng-Jun, et autres
Publié: (2025)

Prediction-Powered Communication with Distortion Guarantees
par: Zecchin, Matteo, et autres
Publié: (2025)

Domain Adaptation of Drag Reduction Policy to Partial Measurements
par: Plaksin, Anton, et autres
Publié: (2025)

Take It or Leave It: Intent-Controlled Partial Optimal Transport
par: Tripathi, Salil Parth, et autres
Publié: (2026)

Domain Adaptation and Entanglement: an Optimal Transport Perspective
par: Koç, Okan, et autres
Publié: (2025)

Optimistic Online Non-stochastic Control via FTRL
par: Mhaisen, Naram, et autres
Publié: (2024)

Modality Collapse as Mismatched Decoding: Information-Theoretic Limits of Multimodal LLMs
par: Billa, Jayadev
Publié: (2026)

Particle-Guided Diffusion Models for Partial Differential Equations
par: Millard, Andrew, et autres
Publié: (2026)

Comparing Comparators in Generalization Bounds
par: Hellström, Fredrik, et autres
Publié: (2023)

Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation
par: Liu, Yuhang, et autres
Publié: (2022)

Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
par: Gu, Anming, et autres
Publié: (2024)

On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
par: Mhaisen, Naram, et autres
Publié: (2025)

Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data
par: Wang, Yinsong, et autres
Publié: (2026)

PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
par: Xue, Xuqian, et autres
Publié: (2025)

Optimal Transport-Based Domain Adaptation for Rotated Linear Regression
par: Britos, Brian, et autres
Publié: (2025)

Collaborative Multi-source Domain Adaptation Through Optimal Transport
par: Ghannou, Omar, et autres
Publié: (2024)

Optimal Transport for Domain Adaptation through Gaussian Mixture Models
par: Montesuma, Eduardo Fernandes, et autres
Publié: (2024)

On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective
par: Dong, Zhiyi, et autres
Publié: (2025)

Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach
par: Lan, Mengcheng, et autres
Publié: (2024)

Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
par: Mussard, Romain, et autres
Publié: (2025)

Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
par: Loi, Nguyen Thang, et autres
Publié: (2024)

Near-Optimal Partially Observable Reinforcement Learning with Partial Online State Information
par: Shi, Ming, et autres
Publié: (2023)

Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport
par: Mehra, Akshay, et autres
Publié: (2024)

Decomposing the Depth Profile of Fine-Tuning
par: Billa, Jayadev
Publié: (2026)