Shixiang Zhu
8 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
AISTATS (4)
NIPS (2)
AAAI (1)
ICLR (1)
Top co-authors
Keywords
metric learning
(1)
few-shot learning
(1)
policy optimization
(1)
black-box optimization
(1)
model misspecification
(1)
policy gradient
(1)
attention mechanism
(1)
robust classification
(1)
inverse reinforcement learning
(1)
constraint satisfaction
(1)
nearest neighbor classifier
(1)
distributionally robust optimization
(1)
k-nearest neighbor
(1)
variational autoencoder
(1)
asymptotic distribution
(1)
latent space optimization
(1)
goodness-of-fit test
(1)
temporal point process
(1)
event sequence
(1)
event prediction
(1)
Papers
Recurrent Neural Goodness-of-Fit Test for Time Series
AISTATS 2025
New User Event Prediction Through the Lens of Causal Inference
AISTATS 2025
Black-Box Optimization with Implicit Constraints for Public Policy
AAAI 2025
Distributionally robust weighted k-nearest neighbors
NIPS 2022
Neural Spectral Marked Point Processes
ICLR 2022
Goodness-of-Fit Test for Mismatched Self-Exciting Processes
AISTATS 2021
Deep Fourier Kernel for Self-Attentive Point Processes
AISTATS 2021
Learning Temporal Point Processes via Reinforcement Learning
NIPS 2018