ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.08461
  4. Cited By
CDR: Conservative Doubly Robust Learning for Debiased Recommendation

CDR: Conservative Doubly Robust Learning for Debiased Recommendation

13 August 2023
Zijie Song
Jiawei Chen
Sheng Zhou
Qihao Shi
Yan Feng
Chun-Yen Chen
C. Wang
ArXivPDFHTML

Papers citing "CDR: Conservative Doubly Robust Learning for Debiased Recommendation"

5 / 5 papers shown
Title
Debiased Recommendation with Noisy Feedback
Debiased Recommendation with Noisy Feedback
Haoxuan Li
Chunyuan Zheng
Wenjie Wang
Hao Wang
Fuli Feng
Xiao-Hua Zhou
28
7
0
24 Jun 2024
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Wenbo Hu
Xin Sun
Qiang liu
Wenbo Hu
Shu Wu
31
0
0
23 Mar 2023
Diffusion Models in Vision: A Survey
Diffusion Models in Vision: A Survey
Florinel-Alin Croitoru
Vlad Hondru
Radu Tudor Ionescu
M. Shah
DiffM
VLM
MedIm
186
1,098
0
10 Sep 2022
Fast Adaptively Weighted Matrix Factorization for Recommendation with
  Implicit Feedback
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
Jiawei Chen
Can Wang
Sheng Zhou
Qihao Shi
Jingbang Chen
Yan Feng
Chun-Yen Chen
OffRL
30
56
0
04 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1