Yiping Lu
15 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (22) π Conference Polyglot (5) π Academic Marathon (7) π§ Keyword Pioneer
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Keyword Collector
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The Questioner
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Century Club
(15)
Conferences
ICLR (5)
ICML (4)
NIPS (3)
AISTATS (2)
AAAI (1)
Top co-authors
Research topics
Keywords
neural network
(3)
partial differential equation
(2)
adversarial robustness
(1)
minimax optimality
(1)
model architecture
(1)
adversarial training
(1)
computational efficiency
(1)
kernel regression
(1)
monte carlo simulation
(1)
system identification
(1)
gradient descent
(1)
stochastic control
(1)
nonparametric regression
(1)
nonparametric estimation
(1)
variance reduction
(1)
neural network optimization
(1)
nonlinear response functions
(1)
projected gradient descent
(1)
global convergence
(1)
stochastic gradient descent
(1)
Papers
Randomized Iterative Solver as Iterative Refinement: A Simple Fix Towards Backward Stability
AISTATS 2025
Statistical Spatially Inhomogeneous Diffusion Inference
AAAI 2024
Generalization of Scaled Deep ResNets in the Mean-Field Regime
ICLR 2024
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty
ICML 2024
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks
AISTATS 2023
Minimax Optimal Kernel Operator Learning via Multilevel Training
ICLR 2023
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
NIPS 2023
An Unconstrained Layer-Peeled Perspective on Neural Collapse
ICLR 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
NIPS 2022
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality
ICLR 2022
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth
ICML 2020
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
NIPS 2019
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration
ICLR 2019
PDE-Net: Learning PDEs from Data
ICML 2018
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
ICML 2018