Jiyan Yang
9 papers · 2013–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(9)
Mathematics & Optimization
(8)
Optimization
(8)
Optimization & Theory Β· Machine Learning
(6)
Core Methods
(5)
Deep Learning
(3)
Mathematics
(3)
Optimization & Theory Β· Deep Learning
(3)
Artificial Intelligence
(1)
Application Areas
(1)
Learning Paradigms
(1)
Learning Types
(1)
Models
(1)
Keywords
convex optimization
(3)
kernel methods
(2)
shift-invariant kernel
(2)
feature map
(2)
quasi-monte carlo
(2)
kernel approximation
(2)
low-discrepancy sequence
(2)
distributed computing
(1)
l1 regularization
(1)
computational complexity
(1)
early exit
(1)
sparse regression
(1)
large-scale learning
(1)
quantile regression
(1)
importance sampling
(1)
distributed learning
(1)
communication efficiency
(1)
linear regression
(1)
non-uniform sampling
(1)
high-dimensional regression
(1)
Papers
Multi-Objective Bilevel Learning
AAAI 2026
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
ACL 2025
Weighted SGD for β_p Regression with Randomized Preconditioning
JMLR 2018
Feature-distributed sparse regression: a screen-and-clean approach
NeurIPS 2016
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
JMLR 2016
Sub-sampled Newton Methods with Non-uniform Sampling
NeurIPS 2016
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
ICML 2014
Random Laplace Feature Maps for Semigroup Kernels on Histograms
CVPR 2014
Quantile Regression for Large-scale Applications
ICML 2013