Jia-Jie Zhu
8 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
distributionally robust optimization
(4)
optimal transport
(2)
reproducing kernel hilbert space
(2)
maximum mean discrepancy
(2)
conditional moment restriction
(2)
causal inference
(2)
wasserstein distance
(2)
kernel smoothing
(1)
distribution shift
(1)
stochastic approximation
(1)
kernel mean embedding
(1)
convergence rate
(1)
gradient flow
(1)
particle optimization
(1)
wasserstein metric
(1)
functional optimization
(1)
nonlinear optimization
(1)
kernel mirror prox
(1)
measure optimization
(1)
generalized method of moment
(1)
Papers
Analysis of Kernel Mirror Prox for Measure Optimization
AISTATS 2024
Interaction-Force Transport Gradient Flows
NeurIPS 2024
Estimation Beyond Data Reweighting: Kernel Method of Moments
ICML 2023
Adversarially Robust Kernel Smoothing
AISTATS 2022
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
ICML 2022
Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach
L4DC 2021
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
AISTATS 2021
A Kernel Mean Embedding Approach to Reducing Conservativeness in Stochastic Programming and Control
L4DC 2020