Yuling Jiao
14 papers · 2018–2026 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27)
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Keyword Champion
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Century Club · Bronze
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Unstoppable · Bronze
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Keyword Collector
(75)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory · Machine Learning
(9)
Deep Learning
(8)
Core Methods
(6)
Mathematics & Optimization
(3)
Architectures
(3)
Models
(3)
Optimization
(3)
Artificial Intelligence
(2)
Learning Types
(2)
Optimization & Theory · Deep Learning
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
neural network
(3)
excess risk bound
(3)
function approximation
(2)
generative model
(2)
generative adversarial network
(2)
quantile regression
(2)
curse of dimensionality
(2)
approximation theory
(2)
nonparametric estimation
(1)
gradient descent
(1)
feature selection
(1)
nonparametric regression
(1)
image generation
(1)
fitted q-iteration
(1)
sparse regression
(1)
variational inference
(1)
distribution shift
(1)
oracle inequality
(1)
support detection
(1)
importance weighting
(1)
Papers
Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
JMLR 2026
DRM Revisited: A Complete Error Analysis
JMLR 2025
Deep Nonparametric Quantile Regression under Covariate Shift
JMLR 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
AAAI 2024
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
NeurIPS 2024
Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks
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
NeurIPS 2022
Deep Generative Learning via Schrödinger Bridge
ICML 2021
Non-asymptotic Error Bounds for Bidirectional GANs
NeurIPS 2021
Deep Generative Learning via Variational Gradient Flow
ICML 2019
A Constructive Approach to L_0 Penalized Regression
JMLR 2018