← Authors

Xiao-Tong Yuan

16 papers · 2013–2024 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (26) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (10) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (79) πŸ’Ž Century Club (16) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter ⚑ Prolific Year (5)

Conferences

JMLR (5) AISTATS (2) CVPR (2) ICML (2) AAAI (1) COLT (1) ECCV (1) ICCV (1) UAI (1)

Top co-authors

Qingshan Liu (7) Bo Liu (5) Ping Li (4) Dimitris N. Metaxas (3) Pan Zhou (3) Lezi Wang (3) Jiashi Feng (2) Tong Zhang (2) Bin Gu (1) Steven Hoi (1)

Keywords

convex optimization (4) sparse recovery (4) compressed sensing (3) gradient descent (2) sparsity-constrained optimization (2) cardinality constraint (2) iterative hard thresholding (2) dual optimization (2) hard thresholding (2) non-convex optimization (2) newton method (2) minibatch optimization (2) greedy algorithm (2) duality theory (2) logistic regression (1) compressive sensing (1) contrastive learning (1) principal component analysis (1) stochastic optimization (1) convergence analysis (1)

Papers

Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation JMLR 2023
Task similarity aware meta learning: theory-inspired improvement on MAML UAI 2021
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance CVPR 2021
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond JMLR 2020
Meta-Learning with Network Pruning ECCV 2020
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization ICML 2020
Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020
Dual Iterative Hard Thresholding JMLR 2020
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019
Gradient Hard Thresholding Pursuit JMLR 2018
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017
Additive Nearest Neighbor Feature Maps ICCV 2015
Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014
Truncated Power Method for Sparse Eigenvalue Problems JMLR 2013