Tong Zhang

Tong Zhang

27 Papers

Local Smoothness in Variance Reduced Optimization (2015)

Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling (2015)

Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding (2015)

Accelerated Mini-Batch Stochastic Dual Coordinate Ascent (2013)

Accelerating Stochastic Gradient Descent using Predictive Variance Reduction (2013)

Selective Labeling via Error Bound Minimization (2012)

Greedy Model Averaging (2011)

Learning to Search Efficiently in High Dimensions (2011)

Spectral Methods for Learning Multivariate Latent Tree Structure (2011)

Multi-Label Prediction via Compressed Sensing (2009)

Nonlinear Learning using Local Coordinate Coding (2009)

Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models (2008)

Multi-stage Convex Relaxation for Learning with Sparse Regularization (2008)

Sparse Online Learning via Truncated Gradient (2008)

A General Boosting Method and its Application to Learning Ranking Functions for Web Search (2007)

The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information (2007)

Learning on Graph with Laplacian Regularization (2006)

Analysis of Spectral Kernel Design based Semi-supervised Learning (2005)

Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification (2004)

Support Vector Classification with Input Data Uncertainty (2004)

An Infinity-sample Theory for Multi-category Large Margin Classification (2003)

Learning Bounds for a Generalized Family of Bayesian Posterior Distributions (2003)

Data-Dependent Bounds for Bayesian Mixture Methods (2002)

Effective Dimension and Generalization of Kernel Learning (2002)

Convergence of Large Margin Separable Linear Classification (2000)

Regularized Winnow Methods (2000)

Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear Functions (1999)