Search Results for author: Boxiang Wang

Found 9 papers, 1 papers with code

Implementation of the Multichannel Filtered Reference Least Mean Square (McFxLMS) Algorithm with an Arbitrary Number of Channels by Using MATLAB

no code implementations1 Feb 2024 Boxiang Wang

Multichannel filtered reference least mean square (McFxLMS) algorithms are widely utilized in adaptive multichannel active noise control (MCANC) applications.

The ART of Transfer Learning: An Adaptive and Robust Pipeline

no code implementations30 Apr 2023 Boxiang Wang, Yunan Wu, Chenglong Ye

Transfer learning is an essential tool for improving the performance of primary tasks by leveraging information from auxiliary data resources.

Learning Theory Sparse Learning +1

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

1 code implementation28 Oct 2021 Shenggui Li, Hongxin Liu, Zhengda Bian, Jiarui Fang, Haichen Huang, Yuliang Liu, Boxiang Wang, Yang You

The success of Transformer models has pushed the deep learning model scale to billions of parameters.

Maximizing Parallelism in Distributed Training for Huge Neural Networks

no code implementations30 May 2021 Zhengda Bian, Qifan Xu, Boxiang Wang, Yang You

Our work is the first to introduce a 3-dimensional model parallelism for expediting huge language models.

Tesseract: Parallelize the Tensor Parallelism Efficiently

no code implementations30 May 2021 Boxiang Wang, Qifan Xu, Zhengda Bian, Yang You

It increases efficiency by reducing communication overhead and lowers the memory required for each GPU.

Language Modelling

Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning

no code implementations6 May 2021 Tong Wang, Jingyi Yang, Yunyi Li, Boxiang Wang

We propose Partially Interpretable Estimators (PIE) which attribute a prediction to individual features via an interpretable model, while a (possibly) small part of the PIE prediction is attributed to the interaction of features via a black-box model, with the goal to boost the predictive performance while maintaining interpretability.

Attribute BIG-bench Machine Learning +1

Sparse Tensor Additive Regression

no code implementations31 Mar 2019 Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun

Tensors are becoming prevalent in modern applications such as medical imaging and digital marketing.

Click-Through Rate Prediction Marketing +1

Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS

no code implementations24 Aug 2015 Boxiang Wang, Hui Zou

We propose a novel efficient algorithm for solving DWD, and our algorithm can be several hundred times faster than the existing state-of-the-art algorithm based on the SOCP.

Learning Theory

Sparse Distance Weighted Discrimination

no code implementations24 Jan 2015 Boxiang Wang, Hui Zou

Distance weighted discrimination (DWD) was originally proposed to handle the data piling issue in the support vector machine.

Computational Efficiency General Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.