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

Date: Thu, Oct 16, 2:00pm

Speaker: Kamalika Chaudhuri

Title: Stochastic Convex Optimization

Date: Wed, Oct 22, 11:00am

Speaker: Nati Srebro

Title: Consistent sampling strategies for active learning

Date: Wed, Oct 29, 11:00am

Speaker: Daniel Hsu

Title: Adapting Natural Language Processing Systems to New Domains

Date: Thu, Nov 6, 2:00pm

Speaker: John Blitzer

Title: Trading accuracy for sparsity

Date: Wed, Nov 12, 11:00am

Speaker: Shai Shalev-Shwartz

Title: Understanding Patterns in Data

Date: Wed, Nov 19, 11:00am

Speaker: Steve Smale

Title: PAC-Bayesian Margin Bounds Revisited

Date: Wed, Nov 26, 11:00am

Speaker: David McAllester

Title: Semi-Supervised, Dimensionality Reduction via Canonical Correlation Analysis

Date: Wed, Dec 3, 11:00am

Speaker: Sham Kakade

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