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List of works by Tong Zhang

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

scientific article published in January 2008

Accelerated Mini-Batch Stochastic Dual Coordinate Ascent

Accelerating Stochastic Gradient Descent using Predictive Variance Reduction

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

Adaptive Sampling Towards Fast Graph Representation Learning

Agnostic Active Learning Without Constraints

An Infinity-sample Theory for Multi-category Large Margin Classification

scientific article published in January 2004

Analysis of Spectral Kernel Design based Semi-supervised Learning

scientific article published in January 2006

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

Communication Compression for Decentralized Training

article by Hanlin Tang et al published 2018 in Advances in Neural Information Processing Systems 31

Convergence of Large Margin Separable Linear Classification

Data-Dependent Bounds for Bayesian Mixture Methods

scientific article published in January 2003

Deep Coding Network

Deep Subspace Clustering Networks

scientific article published in January 2017

Diffusion Approximations for Online Principal Component Estimation and Global Convergence

scientific article published in January 2017

Divergence-Augmented Policy Optimization

Effective Dimension and Generalization of Kernel Learning

scientific article published in January 2003

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding

article

Exact Recovery of Hard Thresholding Pursuit

scientific article published in January 2016

Exponentially Weighted Imitation Learning for Batched Historical Data

Gradient Sparsification for Communication-Efficient Distributed Optimization

article by Jianqiao Wangni et al published 2018 in Advances in Neural Information Processing Systems 31

Greedy Model Averaging

scientific article published in January 2011

Hashtag-Guided Low-Resource Tweet Classification

scientific article published on 26 April 2023

Learning Additive Exponential Family Graphical Models via

scientific article published in January 2016

Learning Bounds for a Generalized Family of Bayesian Posterior Distributions

scientific article published in January 2004

Learning on Graph with Laplacian Regularization

scientific article published in January 2007

Learning to Search Efficiently in High Dimensions

scientific article published in January 2011

Local Smoothness in Variance Reduced Optimization

Multi-Label Prediction via Compressed Sensing

scientific article published in January 2009

Multi-stage Convex Relaxation for Learning with Sparse Regularization

Nonlinear Learning using Local Coordinate Coding

On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning

scientific article published in January 2017

Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling

Regularized Winnow Methods

SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator

scientific article

Selective Labeling via Error Bound Minimization

scientific article published in January 2012

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

scientific article

Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear Functions

Sparse Online Learning via Truncated Gradient

Spectral Methods for Learning Multivariate Latent Tree Structure

scientific article published in January 2011

Stochastic Expectation Maximization with Variance Reduction

Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity

Support Vector Classification with Input Data Uncertainty

scientific article published in January 2005

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

scientific article published in January 2008