Joint TTIC University of Chicago Machine Learning Seminar
The Machine Learning seminar is a weekly meeting which has the goal of bringing together the different researchers and students at TTIC and UChicago working on related fields to present their work. The vast majority of talks will be about the speaker's own research (i.e. this is not intended as a reading group). Where? TTIC conference room.
Title: |
Learning Mixtures of Distributions through Spectral Algorithms |
| Time: |
Thu, Oct 16, 2:00pm |
| Speaker: |
Kamalika Chaudhuri |
Title: |
Stochastic Convex Optimization |
| Time: |
Wed, Oct 22, 11:00am |
| Speaker: |
Nati Srebro |
Title: |
Consistent sampling strategies for active learning |
| Time: |
Wed, Oct 29, 11:00am |
| Speaker: |
Daniel Hsu |
Title: |
Adapting Natural Language Processing Systems to New Domains
|
| Time: |
Thu, Nov 6, 2:00pm |
| Speaker: |
John Blitzer |
Title: |
Trading accuracy for sparsity |
| Time: |
Wed, Nov 12, 11:00am |
| Speaker: |
Shai Shalev-Shwartz |
Title: |
Understanding Patterns in Data |
| Time: |
Wed, Nov 19, 11:00am |
| Speaker: |
Steve Smale |
Title: |
PAC-Bayesian Margin Bounds Revisited |
| Time: |
Wed, Nov 26, 11:00am |
| Speaker: |
David McAllester |
Title: |
Semi-Supervised, Dimensionality Reduction via Canonical Correlation Analysis |
| Time: |
Wed, Dec 3, 11:00am |
| Speaker: |
Sham Kakade |
