Copertina

Robust Recommendation from Noisy Implicit Feedback: A GMM-Weighted Bayes-label Transition Matrix Framework

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Zongyu, Liu, Xuanyu, Cao, Gongce, Sun, Shirui, Fang, Yaqi, Yu, Yongshuai
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
di: Bae, HeeSun, et al.
Pubblicazione: (2024)

Correct and Weight: A Simple Yet Effective Loss for Implicit Feedback Recommendation
di: Yin, Minglei, et al.
Pubblicazione: (2026)

Debiased Recommendation with Noisy Feedback
di: Li, Haoxuan, et al.
Pubblicazione: (2024)

Robust Personalized Recommendation under Hidden Confounding in MNAR
di: Li, Zongyu, et al.
Pubblicazione: (2026)

RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations
di: He, Jiajun, et al.
Pubblicazione: (2023)

Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback
di: Fang, Hui, et al.
Pubblicazione: (2024)

RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenders
di: Yang, Zhongheng, et al.
Pubblicazione: (2025)

From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables
di: Li, Zongyu
Pubblicazione: (2026)

Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
di: Liu, Yongshuai, et al.
Pubblicazione: (2025)

Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning
di: Liu, Yongshuai, et al.
Pubblicazione: (2025)

Robust Implicit Regularization via Weight Normalization
di: Chou, Hung-Hsu, et al.
Pubblicazione: (2023)

Provably Robust DPO: Aligning Language Models with Noisy Feedback
di: Chowdhury, Sayak Ray, et al.
Pubblicazione: (2024)

Does Weighting Improve Matrix Factorization for Recommender Systems?
di: Ayoub, Alex, et al.
Pubblicazione: (2025)

Penalized GMM Framework for Inference on Functionals of Nonparametric Instrumental Variable Estimators
di: Bakhitov, Edvard
Pubblicazione: (2026)

AutoGMM: Automatic Gaussian Mixture Modeling in Python
di: Liu, Tingshan, et al.
Pubblicazione: (2019)

NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction
di: Yang, Jiawen, et al.
Pubblicazione: (2025)

Budgeted Recommendation with Delayed Feedback
di: Liu, Kweiguu, et al.
Pubblicazione: (2024)

Pruning AMR: Efficient Visualization of Implicit Neural Representations via Weight Matrix Analysis
di: Zvonek, Jennifer, et al.
Pubblicazione: (2025)

Optimal Clustering from Noisy Binary Feedback
di: Ariu, Kaito, et al.
Pubblicazione: (2019)

Federated Learning With Energy Harvesting Devices: An MDP Framework
di: Zhang, Kai, et al.
Pubblicazione: (2024)

RANA: Robust Active Learning for Noisy Network Alignment
di: Nan, Yixuan, et al.
Pubblicazione: (2025)

Implicit Regularization Makes Overparameterized Asymmetric Matrix Sensing Robust to Perturbations
di: Wind, Johan S.
Pubblicazione: (2023)

Towards Fully Automated Decision-Making Systems for Greenhouse Control: Challenges and Opportunities
di: Liu, Yongshuai, et al.
Pubblicazione: (2025)

Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training
di: Sander, Tom, et al.
Pubblicazione: (2024)

DeFed-GMM-DaDiL: A Decentralized Federated Framework for Domain Adaptation
di: Clain, Rebecca, et al.
Pubblicazione: (2026)

On the Limitations and Possibilities of Nash Regret Minimization in Zero-Sum Matrix Games under Noisy Feedback
di: Maiti, Arnab, et al.
Pubblicazione: (2023)

Decentralized Multi-Task Online Convex Optimization Under Random Link Failures
di: Yan, Wenjing, et al.
Pubblicazione: (2024)

Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion
di: Bai, Zhiwei, et al.
Pubblicazione: (2024)

Speech Diarization and ASR with GMM
di: Sharma, Aayush Kumar, et al.
Pubblicazione: (2023)

DCN^2: Interplay of Implicit Collision Weights and Explicit Cross Layers for Large-Scale Recommendation
di: Škrlj, Blaž, et al.
Pubblicazione: (2025)

Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey
di: Saberi-Movahed, Farid, et al.
Pubblicazione: (2024)

The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing
di: Xu, Yang, et al.
Pubblicazione: (2024)

Ensuring Semantics in Weights of Implicit Neural Representations through the Implicit Function Theorem
di: Qiu, Tianming, et al.
Pubblicazione: (2026)

Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
di: Hu, Wentao, et al.
Pubblicazione: (2023)

Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback
di: Liu, Haolin, et al.
Pubblicazione: (2024)

Best Transition Matrix Esitimation or Best Label Noise Robustness Classifier? Two Possible Methods to Enhance the Performance of T-revision
di: Liu, Haixu, et al.
Pubblicazione: (2025)

Asymptotic Bayes risk of semi-supervised learning with uncertain labeling
di: Leger, Victor, et al.
Pubblicazione: (2024)

Robust Learning of Diffusion Models with Extremely Noisy Conditions
di: Chen, Xin, et al.
Pubblicazione: (2025)

Robust Neural Processes for Noisy Data
di: Shapira, Chen, et al.
Pubblicazione: (2024)

Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation
di: Wu, Yining, et al.
Pubblicazione: (2024)