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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"
5 / 5 papers shown
Title
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
Lei Zheng
Ning Li
Weinan Zhang
Yong Yu
AI4TS
41
0
0
24 Apr 2024
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Haoxiang Wang
Haozhe Si
Bo-wen Li
Han Zhao
OOD
60
32
0
30 Jan 2022
Learnable Embedding Sizes for Recommender Systems
Siyi Liu
Chen Gao
Yihong Chen
Depeng Jin
Yong Li
59
83
0
19 Jan 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
110
717
0
13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
365
11,700
0
09 Mar 2017
1