Human, Animal, and Machine Learning: Experiment and Theory
From 2008 there is an interdisciplinary proseminar series Human Animal Machine Learning: Experiments and Theory (HAMLET) at University of Wisconsin-Madison. The goal is to provide students from different departments with a common grounding in the learning sciences. Guest speakers give a talk each week, followed by discussions. It has been an outlet for fresh research results from various projects. It has 20-30 regular faculty and graduate student participants from Computer Sciences, ECE, Psychology, Educational Psychology and other parts of the campus. Multiple federal research grants and publications at top machine learning and cognitive psychology venues have resulted from the interactions of HAMLET participants.
Fridays 3:45 p.m. - 5 p.m.
Berkowitz room (338 psychology) unless otherwise noted
HAMLET mailing list
website that allows you to subscribe and unsubscribe to the mailing list.
Spring 2018 Schedule:
Date, Title, Speaker
- Feb 2 Blake Mason
Title: Low-Dimensional Metric Learning with Application to Perceptual Feature Selection
Abstract: I will discuss recent work investigating the theoretical foundations of metric learning, focused on four key topics: 1) how to learn a general low-dimensional (low-rank) metrics as well as sparse metrics; 2) upper and lower (minimax) bounds on the generalization error; 3) how to quantify the sample complexity of metric learning in terms of the dimension of the feature space and the dimension/rank of the underlying metric; 4) the accuracy of the learned metric relative to the underlying true generative metric. As an application of these ideas, I will discuss work with collaborators in Educational Psychology that applies metric learning for perceptual feature detection in non-verbally mediated cognitive processes.
- Feb 9
- Feb 16
- Feb 23 Andreas Obersteiner
- Mar 2
- Mar 9 Psychology visit day Data Blitz!
- Mar 16 Varun Jog, Assistant Professor ECE
- Mar 23
- Mar 30 (no meeting, spring break)
- Apr 6
- Apr 13
- Apr 20
- Apr 27
- May 4 (no meeting, BOV)
Martha Alibali (email@example.com), Tim Rogers (firstname.lastname@example.org), Jerry Zhu (email@example.com)