Xiaotong Yuan
16 papers · 2012–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
🗃️
Keyword Collector
(76)
Venues
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory · Machine Learning
(13)
Mathematics & Optimization
(6)
Optimization
(6)
Core Methods
(5)
Artificial Intelligence
(2)
Deep Learning
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types
(2)
Optimization & Theory · Deep Learning
(2)
Mathematics
(1)
Keywords
sparse optimization
(4)
algorithmic stability
(3)
generalization bound
(3)
convergence analysis
(3)
stochastic gradient descent
(3)
non-convex optimization
(3)
uniform stability
(2)
sparsity constraint
(2)
gradient descent
(2)
hard thresholding pursuit
(2)
hard thresholding
(2)
representation learning
(1)
few-shot learning
(1)
black-box optimization
(1)
stochastic gradient
(1)
statistical learning
(1)
contrastive learning
(1)
feature selection
(1)
compressed sensing
(1)
missing data recovery
(1)
Papers
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
ICML 2025
L_2-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting
NeurIPS 2023
Exponential Generalization Bounds with Near-Optimal Rates for L_q-Stable Algorithms
ICLR 2023
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
NeurIPS 2022
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
NeurIPS 2022
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning
NeurIPS 2021
Stability and Risk Bounds of Iterative Hard Thresholding
AISTATS 2021
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond
NeurIPS 2021
Efficient Meta Learning via Minibatch Proximal Update
NeurIPS 2019
Efficient Stochastic Gradient Hard Thresholding
NeurIPS 2018
New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity
NeurIPS 2018
A New Theory for Matrix Completion
NeurIPS 2017
Exact Recovery of Hard Thresholding Pursuit
NeurIPS 2016
Learning Additive Exponential Family Graphical Models via ℓ_2,1-norm Regularized M-Estimation
NeurIPS 2016
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization
ICML 2014
Forward Basis Selection for Sparse Approximation over Dictionary
AISTATS 2012