Han Liu

Publications

AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods

Tim Tsz-Kit Lau, Han Liu, Mladen Kolar

Statistical Learning and Data Science

Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism

Tim Tsz-Kit Lau, Weijian Li, Chenwei Xu, Han Liu, Mladen Kolar

Conference on Parsimony and Learning (CPAL)

Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods

Tim Tsz-Kit Lau, Weijian Li, Chenwei Xu, Han Liu, Mladen Kolar

Technical report

Kernel meets sieve: post-regularization confidence bands for sparse additive model

Junwei Lu, Mladen Kolar, Han Liu

Journal of the American Statistical Association, 115(532)

arXiv URL PDF DOI

Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models

Junwei Lu, Mladen Kolar, Han Liu

Journal of Machine Learning Research

A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression

Tianqi Zhao, Mladen Kolar, Han Liu

ArXiv e-prints, arXiv:1412.8724

Optimal Feature Selection in High-Dimensional Discriminant Analysis

Mladen Kolar, Han Liu

IEEE Trans. Inf. Theory

Graph Estimation From Multi-attribute Data

Mladen Kolar, Han Liu, Eric P. Xing

J. Mach. Learn. Res

Markov Network Estimation From Multi-attribute Data

Mladen Kolar, Han Liu, Eric P. Xing

Proceedings of the 30th International Conference on Machine Learning

Feature Selection in High-Dimensional Classification

Mladen Kolar, Han Liu

Proceedings of the 30th International Conference on Machine Learning

Marginal Regression For Multitask Learning

Mladen Kolar, Han Liu

Proceedings of the 15th International Conference on Artificial Intelligence and Statistics