Yuling Jiao
13 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
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Academic Marathon
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Conferences
JMLR (6)
ICML (3)
NIPS (3)
AAAI (1)
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Research topics
Keywords
neural network
(3)
excess risk bound
(3)
approximation theory
(2)
quantile regression
(2)
generative model
(2)
generative adversarial network
(2)
function approximation
(1)
feature selection
(1)
image generation
(1)
sparse regression
(1)
gradient descent
(1)
nonparametric regression
(1)
nonparametric estimation
(1)
fitted q-iteration
(1)
variational inference
(1)
curse of dimensionality
(1)
distribution shift
(1)
oracle inequality
(1)
support detection
(1)
importance weighting
(1)
Papers
DRM Revisited: A Complete Error Analysis
JMLR 2025
Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks
JMLR 2024
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
NIPS 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
AAAI 2024
Deep Nonparametric Quantile Regression under Covariate Shift
JMLR 2024
Fast Excess Risk Rates via Offset Rademacher Complexity
ICML 2023
Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning
JMLR 2023
An Error Analysis of Generative Adversarial Networks for Learning Distributions
JMLR 2022
Approximation with CNNs in Sobolev Space: with Applications to Classification
NIPS 2022
Deep Generative Learning via SchrΓΆdinger Bridge
ICML 2021
Non-asymptotic Error Bounds for Bidirectional GANs
NIPS 2021
Deep Generative Learning via Variational Gradient Flow
ICML 2019
A Constructive Approach to $L_0$ Penalized Regression
JMLR 2018