Machine Learning Ph.D. Seminar

Fall 2013 Schedule

New time: Room 412 2:30

Oct 22 - Andres Munoz, NYU
Title: DC programming: a brief tutorial.
Slides

Oct 29 - Vitaly Kuznetsov, NYU
Title: A survey on mixing coefficients: computation and estimation.
Slides

Nov 5 - Esteban Tabak, NYU
Title: Data-driven optimal transport.
Slides

Nov 19 - Ping Li, Rutgers.
Title: Big Data, Efficient Search and Learning using Sparse Random Projections and Hasing.
Abstract
Slides

Spring 2013 Schedule

Special date! Room 412 15:00
February 7 - Gunnar Raetsch, Memorial Sloan Katering Cancer Center
Title: Transfer Learning Methods and Applications in Computational Biology
Abstract
Slides
February 12 -Marius Kloft, NYU, MSKCC
Title: On multiple Kernel Learning
Abstract
February 19 -Liu Yang, Carnegie Mellon University
Title: Combinatorial approaches to active learning and transfer learning
Abstract
February 26-Generalized covariance matrices and their inverses
NIPS 2012 discussion
Presented by Daniel Percival from Google.
March 5th - David Sontag , New York University
Title: Method of Moment Algorithms for Learning Bayesian Networks.
Abstract
April 2nd - John Langford, Microsoft Research
Title: TBD
April 9th
Nips discussion: Gradient Weights Help Nonparametric Regressors
Presenter: Andres Munoz
Slides
April 16th- Anima Anadkumar , UC Irvine
Title: Provable Learning of Topic Models: Tensor and Graph-based Approaches.
Abstract
April 23th - Liang Huang
Title: Structured Perceptron with Inexact Search
Abstract

Details