Da Xu
8 papers · 2019–2022 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird π Grand Slam
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Core AI
(4)
Deep Learning
(3)
Core Methods
(3)
Data Science & Analytics
(2)
Applications
(2)
Architectures
(2)
Optimization & Theory
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Learning Types Β· Machine Learning
(1)
Learning Types Β· Deep Learning
(1)
Methods
(1)
Keywords
gradient descent
(2)
recommender system
(2)
inductive learning
(2)
neural tangent kernel
(1)
link prediction
(1)
adversarial learning
(1)
temporal modeling
(1)
matrix factorization
(1)
embedding learning
(1)
information retrieval
(1)
adversarial training
(1)
deep learning
(1)
graph attention
(1)
risk minimization
(1)
importance weighting
(1)
off-policy learning
(1)
adversarial perturbation
(1)
random feature
(1)
implicit bia
(1)
node classification
(1)
Papers
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation
ICLR 2022
Towards Robust Off-Policy Learning for Runtime Uncertainty
AAAI 2022
A Temporal Kernel Approach for Deep Learning with Continuous-time Information
ICLR 2021
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
ICML 2021
Understanding the role of importance weighting for deep learning
ICLR 2021
Adversarial Counterfactual Learning and Evaluation for Recommender System
NeurIPS 2020
Inductive representation learning on temporal graphs
ICLR 2020
Self-attention with Functional Time Representation Learning
NeurIPS 2019