:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Naram, Jayadev, Hellström, Fredrik, Wang, Ziming, Jörnsten, Rebecka, Durisi, Giuseppe
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2506.02712
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SE(3)-bi-equivariant Transformers for Point Cloud Assembly
by: Wang, Ziming, et al.
Published: (2024)

Partial Distribution Matching via Partial Wasserstein Adversarial Networks
by: Wang, Zi-Ming, et al.
Published: (2024)

Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
by: Hellström, Fredrik, et al.
Published: (2023)

Partially Lazy Gradient Descent for Smoothed Online Learning
by: Mhaisen, Naram, et al.
Published: (2026)

Equivariant Flow Matching for Point Cloud Assembly
by: Wang, Ziming, et al.
Published: (2025)

Bi-level Unbalanced Optimal Transport for Partial Domain Adaptation
by: Chen, Zi-Ying, et al.
Published: (2025)

Learning Partial Graph Matching via Optimal Partial Transport
by: Ratnayaka, Gathika, et al.
Published: (2024)

Partial Identifiability for Domain Adaptation
by: Kong, Lingjing, et al.
Published: (2023)

Partial Transportability for Domain Generalization
by: Jalaldoust, Kasra, et al.
Published: (2025)

Controlled Generation of Unseen Faults for Partial and Open-Partial Domain Adaptation
by: Rombach, Katharina, et al.
Published: (2022)

Sparse Partial Optimal Transport via Quadratic Regularization
by: Tran, Khang, et al.
Published: (2025)

Partial Distribution Alignment via Adaptive Optimal Transport
by: Yang, Pei, et al.
Published: (2025)

Differentially Private Domain Adaptation with Theoretical Guarantees
by: Bassily, Raef, et al.
Published: (2023)

Prediction-Powered Communication with Distortion Guarantees
by: Zecchin, Matteo, et al.
Published: (2025)

UniPROT: Uniform Prototype Selection via Partial Optimal Transport with Submodular Guarantees
by: Chanda, Prateek, et al.
Published: (2026)

Linear Optimal Partial Transport Embedding
by: Bai, Yikun, et al.
Published: (2023)

Accelerated Sinkhorn Algorithms for Partial Optimal Transport
by: Truong, Nghia Thu, et al.
Published: (2026)

Optimistic Online Non-stochastic Control via FTRL
by: Mhaisen, Naram, et al.
Published: (2024)

Partial Domain Adaptation via Importance Sampling-based Shift Correction
by: Guo, Cheng-Jun, et al.
Published: (2025)

Domain Adaptation of Drag Reduction Policy to Partial Measurements
by: Plaksin, Anton, et al.
Published: (2025)

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

Comparing Comparators in Generalization Bounds
by: Hellström, Fredrik, et al.
Published: (2023)

Take It or Leave It: Intent-Controlled Partial Optimal Transport
by: Tripathi, Salil Parth, et al.
Published: (2026)

Domain Adaptation and Entanglement: an Optimal Transport Perspective
by: Koç, Okan, et al.
Published: (2025)

On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
by: Mhaisen, Naram, et al.
Published: (2025)

Particle-Guided Diffusion Models for Partial Differential Equations
by: Millard, Andrew, et al.
Published: (2026)

Latent Covariate Shift: Unlocking Partial Identifiability for Multi-Source Domain Adaptation
by: Liu, Yuhang, et al.
Published: (2022)

Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
by: Gu, Anming, et al.
Published: (2024)

Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data
by: Wang, Yinsong, et al.
Published: (2026)

PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering
by: Xue, Xuqian, et al.
Published: (2025)

Optimal Transport-Based Domain Adaptation for Rotated Linear Regression
by: Britos, Brian, et al.
Published: (2025)

Sparse and Orthogonal Low-rank Collective Matrix Factorization (solrCMF): Efficient data integration in flexible layouts
by: Held, Felix, et al.
Published: (2024)

Collaborative Multi-source Domain Adaptation Through Optimal Transport
by: Ghannou, Omar, et al.
Published: (2024)

Optimal Transport for Domain Adaptation through Gaussian Mixture Models
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)

Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach
by: Lan, Mengcheng, et al.
Published: (2024)

On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective
by: Dong, Zhiyi, et al.
Published: (2025)

Near-Optimal Partially Observable Reinforcement Learning with Partial Online State Information
by: Shi, Ming, et al.
Published: (2023)

Decomposing the Depth Profile of Fine-Tuning
by: Billa, Jayadev
Published: (2026)

Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
by: Mussard, Romain, et al.
Published: (2025)

Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation
by: Loi, Nguyen Thang, et al.
Published: (2024)