当前标签：theoretical

Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model

馒头and花卷 2022-09-18 20:23 阅读:244 评论:3 推荐:1 编辑

How Powerful are Graph Neural Networks?

馒头and花卷 2022-09-15 22:03 阅读:126 评论:0 推荐:0 编辑

Weisfeiler-Lehman Test

馒头and花卷 2022-09-15 11:04 阅读:637 评论:0 推荐:0 编辑

On Sampled Metrics for Item Recommendation

馒头and花卷 2022-09-11 16:18 阅读:54 评论:0 推荐:0 编辑

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

馒头and花卷 2022-08-27 22:29 阅读:204 评论:0 推荐:0 编辑

Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis

馒头and花卷 2022-08-19 21:24 阅读:114 评论:0 推荐:0 编辑

AutoDebias: Learning to Debias for Recommendation

馒头and花卷 2022-08-19 18:07 阅读:246 评论:0 推荐:1 编辑

Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation

馒头and花卷 2022-08-11 21:16 阅读:196 评论:0 推荐:1 编辑

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

馒头and花卷 2022-08-07 17:29 阅读:174 评论:0 推荐:0 编辑

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation

馒头and花卷 2022-08-07 11:42 阅读:397 评论:0 推荐:1 编辑

On Variational Bounds of Mutual Information

馒头and花卷 2022-08-07 10:18 阅读:606 评论:0 推荐:1 编辑

Less is More: Reweighting Important Spectral Graph Features for Recommendation

馒头and花卷 2022-07-28 21:54 阅读:365 评论:0 推荐:0 编辑

Commute Time Distance

馒头and花卷 2022-07-24 19:05 阅读:166 评论:0 推荐:0 编辑

Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random

馒头and花卷 2022-07-17 15:43 阅读:521 评论:3 推荐:1 编辑

Recommendations as Treatments: Debiasing Learning and Evaluation

馒头and花卷 2022-07-16 15:22 阅读:335 评论:0 推荐:0 编辑

Towards Long-term Fairness in Recommendation

馒头and花卷 2022-07-14 15:32 阅读:90 评论:0 推荐:0 编辑

Ranking with Fairness Constraints

馒头and花卷 2022-07-09 16:31 阅读:49 评论:0 推荐:0 编辑

Pearl Causal Hierarchy (PCH)

馒头and花卷 2022-07-06 18:41 阅读:382 评论:0 推荐:0 编辑

Score-Based Generative Modeling through Stochastic Differential Equations

馒头and花卷 2022-06-21 13:02 阅读:4007 评论:5 推荐:2 编辑

How Powerful is Graph Convolution for Recommendation?

馒头and花卷 2022-06-18 17:07 阅读:279 评论:0 推荐:0 编辑