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Future Gradient Descent for Adapting the Temporal Shifting Data
  Distribution in Online Recommendation Systems

Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems

2 September 2022
Mao Ye
Ruichen Jiang
Haoxiang Wang
Dhruv Choudhary
Xiaocong Du
Bhargav Bhushanam
Aryan Mokhtari
A. Kejariwal
Qiang Liu
    TTA
    OOD
    AI4TS
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Papers citing "Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems"

4 / 4 papers shown
Title
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Haoxiang Wang
Haozhe Si
Bo-wen Li
Han Zhao
OOD
54
32
0
30 Jan 2022
Learnable Embedding Sizes for Recommender Systems
Learnable Embedding Sizes for Recommender Systems
Siyi Liu
Chen Gao
Yihong Chen
Depeng Jin
Yong Li
57
82
0
19 Jan 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
99
716
0
13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
281
11,681
0
09 Mar 2017
1