CPSC/AMTH/CBB 745 - Advanced Topics in Machine Learning & Data Mining - Spring 2018 Yale
Yale University CPSC745 - S2018

CPSC/AMTH/CBB 745

Advanced Topics in Machine Learning & Data Mining

Spring 2017

Guy Wolf & Smita Krishnaswamy
(guy.wolf@yale.edu)

Modern data analysis methods are expected to handle massive amounts of data that are being collected in a variety of domains, including the biological/biomedical, social, economic, artistic, and cultural domains. This seminar will provide an overview of the advances that have been made in the last decade in machine-learning and automatic data-mining approaches for dealing with the challenges that arise in such settings. This year, the seminar will focus on a broad scope of data analysis tasks, with emphasis on deep learning approaches towards them. Additional approaches, such as kernel methods and dictionary learning, will be included as well to provide a wide perspective on the field.

The seminar will be based on student presentations and discussions of recent prominent publications from leading journals in machine learning (e.g., MLJ, JMLR, TPAMI, and DMKD), computational sciences (e.g., Science, Nature, and PNAS journals), and conferences (e.g., ICML, NIPS, ICLR, and SigKDD/SigMOD). The grades in the seminar will be based on the quality of these presentations (including submitted abstracts and slides), discussions in class, and written summaries.

Class sessions: Wednesdays 2:45-5:00, AKW 307 (even though the course is officially slotted as 2:30-5:15).
First class will be on Wednesday, January 24th.


Schedule:


Date Subject Presented by Notes
Jan 24 Introduction to the course Guy Wolf & Smita Krishnaswamy
Jan 31 TBD TBD
Feb 07 TBD TBD
Feb 14 TBD TBD
TBD TBD
Feb 21 TBD TBD
TBD TBD
Feb 28 TBD TBD
TBD TBD
Mar 07 TBD TBD
TBD TBD
Mar 14 Spring Break --
Mar 21 Spring Break --
Mar 28 TBD TBD
TBD TBD
Apr 04 TBD TBD
TBD TBD
Apr 11 TBD TBD
TBD TBD
Apr 18 TBD TBD
TBD TBD
Apr 25 TBD TBD
TBD TBD