Median-Truncated Gradient Descent
A Robust and Scalable Nonconvex Approach for Signal Estimation
Bibliographic Data
| ID | 23590585 |
|---|---|
| Authors | Yuejie Chi (0000-0002-6766-5459, Carnegie Mellon University), Yuanxin Li (0000-0001-5639-7869), Yuan‐Xin Li (0000-0003-4136-0961, Carnegie Mellon University), Huishuai Zhang (0000-0003-2711-7295, Microsoft Research Asia (China)), Yingbin Liang (0000-0003-2631-4262, The Ohio State University) |
| Year | 2019 |
| Pages | 237-261 |
| Publication date | 2019-01-01 |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | Compressed Sensing and Its Applications (SOURCE_BOOK) |
| Publisher | Springer International Publishing (PUBLISHER • SG) |
| DOI | 10.1007/978-3-319-73074-5_8 |
| OpenAlex | W2966960289 |
| ISBN | 9783319730745 |
| Language | EN |
| Citations received | 1 |
| References cited | 39 |
Algorithm · Bounded function · Gaussian · Gradient descent · Initialization · Mathematical analysis · Mathematical optimization · Outlier · Robustness (evolution) · Statistics · Advanced X-ray Imaging Techniques · Applied Mathematics · Artificial Intelligence · Computer Science · Mathematics · Optical measurement and interference techniques · Sparse and Compressive Sensing Techniques
| Citations per year | 0.14 |
|---|---|
| Citation span | 2019 - 2019 (1) |
| Highly cited | No |