Nian Si
10 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(9)
Optimization & Theory
(8)
Mathematics & Optimization
(4)
Application Areas
(4)
Reinforcement Learning
(3)
Methods
(3)
Optimization
(3)
Artificial Intelligence
(2)
Learning Types · Machine Learning
(2)
Deep Learning
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Keywords
sample complexity
(3)
optimal transport
(2)
robust policy
(2)
covariate shift
(2)
transfer learning
(1)
statistical testing
(1)
offline reinforcement learning
(1)
distributionally robust
(1)
regularization
(1)
continuous optimization
(1)
markov decision process
(1)
statistical convergence
(1)
stochastic control
(1)
value function
(1)
dynamic programming
(1)
robust classification
(1)
variance reduction
(1)
curse of dimensionality
(1)
binary classification
(1)
policy evaluation
(1)
Papers
Knowledge-Guided Wasserstein Distributionally Robust Optimization
ICML 2025
ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters
AISTATS 2025
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
AISTATS 2025
Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning
JMLR 2024
A Finite Sample Complexity Bound for Distributionally Robust Q-learning
AISTATS 2023
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
ICLR 2023
Testing Group Fairness via Optimal Transport Projections
ICML 2021
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
ICML 2020
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
NeurIPS 2020
Robust Bayesian Classification Using An Optimistic Score Ratio
ICML 2020