Da Xu
8 papers · 2019–2022 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer
🏆
Grand Slam
Conferences
ICLR (4)
NIPS (2)
AAAI (1)
ICML (1)
Top co-authors
Keywords
transformer architecture
(1)
adversarial learning
(1)
temporal modeling
(1)
matrix factorization
(1)
embedding learning
(1)
adversarial training
(1)
gradient descent
(1)
off-policy learning
(1)
adversarial perturbation
(1)
recommender system
(1)
exposure bia
(1)
functional representation
(1)
event sequence
(1)
propensity weighting
(1)
inductive learning
(1)
counterfactual learning
(1)
doubly robust
(1)
neural collaborative filtering
(1)
propensity scoring
(1)
inverse propensity score
(1)
Papers
Towards Robust Off-Policy Learning for Runtime Uncertainty
AAAI 2022
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation
ICLR 2022
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
ICML 2021
A Temporal Kernel Approach for Deep Learning with Continuous-time Information
ICLR 2021
Understanding the role of importance weighting for deep learning
ICLR 2021
Inductive representation learning on temporal graphs
ICLR 2020
Adversarial Counterfactual Learning and Evaluation for Recommender System
NIPS 2020
Self-attention with Functional Time Representation Learning
NIPS 2019