3 citations · 3 across the 2 of their papers we have counts for
3 papers
Batch Active Learning from the Perspective of Sparse Approximation
Maohao Shen, Bowen Jiang, Jacky Yibo Zhang +1
Active learning enables efficient model training by leveraging interactions between machine learning agents and human annotators. We study and propose a novel framework that formul…
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis +1
Bayesian coresets have emerged as a promising approach for implementing scalable Bayesian inference. The Bayesian coreset problem involves selecting a (weighted) subset of the data…
Learning Sparse Distributions using Iterative Hard Thresholding
Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis +1
Iterative hard thresholding (IHT) is a projected gradient descent algorithm, known to achieve state of the art performance for a wide range of structured estimation problems, such…