Yaoliang Yu
67 papers · 2009–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yaoliang Yu?
10 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Dale Schuurmans, Xinhua Zhang, Yao-Liang Yu
23 papers
· 2009–2021
· NeurIPS, ICML, AISTATS
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Posterior Differential Regularization with f-divergence for Improving Model Robustness
NAACL 2021
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
ICML 2020
Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters
JMLR 2018
Inductive Two-Layer Modeling with Parametric Bregman Transfer
ICML 2018
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
NeurIPS 2017
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data
CVPR 2017
Generalized Conditional Gradient for Sparse Estimation
JMLR 2017
Learning Latent Space Models with Angular Constraints
ICML 2017
Closed-Form Training of Mahalanobis Distance for Supervised Clustering
CVPR 2016
Convex Two-Layer Modeling with Latent Structure
NeurIPS 2016
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System
AISTATS 2016
Scalable and Sound Low-Rank Tensor Learning
AISTATS 2016
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM
ICML 2015
Minimizing Nonconvex Non-Separable Functions
AISTATS 2015
Better Approximation and Faster Algorithm Using the Proximal Average
NeurIPS 2013
Characterizing the Representer Theorem
ICML 2013
On Decomposing the Proximal Map
NeurIPS 2013
Polar Operators for Structured Sparse Estimation
NeurIPS 2013
A Polynomial-time Form of Robust Regression
NeurIPS 2012
Accelerated Training for Matrix-norm Regularization: A Boosting Approach
NeurIPS 2012
Convex Multi-view Subspace Learning
NeurIPS 2012
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
NeurIPS 2010
A General Projection Property for Distribution Families
NeurIPS 2009
4 papers whose co-authors appear nowhere else under this name
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
ICML 2024
OLALA: Object-Level Active Learning for Efficient Document Layout Annotation
EMNLP 2022
Additive Approximations in High Dimensional Nonparametric Regression via the SALSA
ICML 2016
Efficient Structured Matrix Rank Minimization
NeurIPS 2014