Diversity-inducing probability measures for machine learning
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Main Author: | Li, Chengtao,Ph. D.Massachusetts Institute of Technology. |
---|---|
Other Authors: | Suvrit Sra and Stefanie Jegelka. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/121724 |
Similar Items
-
New interpretable machine learning techniques and an application to stroke prediction in atrial fibrillation patients
by: Yang, Hongyu,Ph. D.Massachusetts Institute of Technology.
Published: (2020) -
Improving learning experience in MOOCs with educational content linking
by: Li, Shang-Wen,Ph. D.Massachusetts Institute of Technology.
Published: (2017) -
Intelligible models for learning categorical data via generalized fourier spectrum
by: Zhang, Xuhong,Ph. D.Massachusetts Institute of Technology.
Published: (2019) -
Deep learning with physical and power-spectral priors for robust image inversion
by: Deng, Mo,Ph. D.Massachusetts Institute of Technology.
Published: (2020) -
Speech processing with less supervision : learning from weak labels and multiple modalities
by: Hsu, Wei-Ning,Ph. D.Massachusetts Institute of Technology.
Published: (2020)