What is about

UMass Data Science Seminar is for everyone who is either interested or experienced in the methods and application of machine learning in data science. We want to build a community of data science researchers and practioners in Umass Lowell that can share knowledge, projects, and experience. Our events usually take place on North Campus of UMass LowellWednesday and include two parts: a lecture focusing on topics in deep learning at 3:30-4:40pm; and a seminar talk by invited speaker at 5:00-6:20pm. If you would like to present at the seminar, please email one of the organizers: Hong YuYonghao Jin.

 

Fall 2019 Speaker List

DateSpeakerTitleAffiliation
2019-09-04 Hong Yu

Deep learning is conquering human tasks. How far can it go in medicine?  Advances, Challenges, and future directions

UMass Lowell
2019-09-11 Kun Chen
Reduced rank stochastic regression with a sparse singular value decomposition   University of Connecticut
2019-09-18 Byron Wallace
A Sensitivity Analysis of (and Practitioners’ Guide to) ConvolutionalNeural Networks for Sentence Classification   Northeastern University
2019-09-25 Madalina Fiterau
Deep neural decision forests   UMass Amherst
2019-10-02 Mohit Iyyer
Deep contextualized word representations  UMass Amherst
2019-10-09 Sasha Rakhlin  Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon MIT
2019-10-16 Stephen Bach
Hinge-loss Markov random fields and probabilistic soft logic  Brown University
2019-10-23 Rocco Anthony Servedio
Learning k-Modal Distributions via Testing  Columbia University
2019-10-30 Zak Kohane
The electronic medical records and genomics (eMERGE) network: past, present, and future   Harvard University
2019-11-06 Fei Wang
Deep learning for healthcare: review, opportunities and challenges   Cornell University
2019-11-13 Salil Vadhan
The complexity of differential privacy  Harvard University
2019-11-20