NIPS Proceedings
β
Books
Xinhua Zhang
14 Papers
Distributionally Robust Graphical Models
(2018)
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
(2017)
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search
(2017)
Convex Two-Layer Modeling with Latent Structure
(2016)
Convex Deep Learning via Normalized Kernels
(2014)
Robust Bayesian Max-Margin Clustering
(2014)
Convex Two-Layer Modeling
(2013)
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space
(2013)
Polar Operators for Structured Sparse Estimation
(2013)
Accelerated Training for Matrix-norm Regularization: A Boosting Approach
(2012)
Convex Multi-view Subspace Learning
(2012)
Lower Bounds on Rate of Convergence of Cutting Plane Methods
(2010)
Kernel Measures of Independence for non-iid Data
(2008)
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms
(2006)