RUI GAO
13 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
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Conferences
NIPS (6)
ICML (4)
AISTATS (1)
COLING (1)
JMLR (1)
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Keywords
generalization bound
(3)
differential privacy
(2)
stochastic gradient langevin dynamics
(2)
information theory
(2)
uncertainty quantification
(2)
distributionally robust optimization
(2)
wasserstein distance
(2)
continual learning
(1)
epistemic uncertainty
(1)
image classification
(1)
statistical inference
(1)
two-sample test
(1)
robust classification
(1)
robust statistics
(1)
few-shot learning
(1)
hypothesis testing
(1)
minimax optimization
(1)
metric learning
(1)
semantic alignment
(1)
cross-modal retrieval
(1)
Papers
Model Uncertainty Quantification by Conformal Prediction in Continual Learning
ICML 2025
Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization
ICML 2025
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic
ICML 2024
High-Order Semantic Alignment for Unsupervised Fine-Grained Image-Text Retrieval
COLING 2024
Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels
JMLR 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
NIPS 2023
DDGR: Continual Learning with Deep Diffusion-based Generative Replay
ICML 2023
Two-Sample Test with Kernel Projected Wasserstein Distance
AISTATS 2022
Distributionally robust weighted k-nearest neighbors
NIPS 2022
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
NIPS 2021
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators
NIPS 2021
Generalization Bounds for (Wasserstein) Robust Optimization
NIPS 2021
Robust Hypothesis Testing Using Wasserstein Uncertainty Sets
NIPS 2018