Joint TTI-C 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 TTI-C 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? TTI-C 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 |
