PROGRAMS AND ACTIVITIES

September 14, 2014

Fields scientific programs are devoted to research in the mathematical sciences, and enhanced graduate and post-doctoral training opportunities. Part of the mandate of the Institute is to broaden and enlarge the community, and to encourage the participation of women and members of visible minority groups in our scientific programs.

For additional information regarding any of the events supported by Fields please contact us at: programs(PUT_AT_SIGN_HERE)fields.utoronto.ca

Video archive of Talks

Earlier Months 2014 Nov Dec Jan Feb Mar Apr May 2015 Later Months
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Date Time Event

Mon Feb 2

11:00 a.m.

Graduate Course 1:.Large Scale Machine Learning

Russ Salakhutdinov

Graduate Course 1:.Large Scale Machine Learning

Fields Institute, Stewart Library

Fri Feb 6

1:00 p.m.

Graduate Course 2: Topics in Inference for Big Data

Nancy Reid

Graduate Course 2: Topics in Inference for Big Data

Fields Institute, Stewart Library

Fri Feb 6

3:15 p.m.

Algebraic Combinatorics Seminar

Fields Institute, Room 210

Mon Feb 9 -
Fri Feb 13

Workshop on Optimization and Matrix Methods in Big Data

Fields Institute, Room 230

Part of the Thematic Program on Statistical Inference, Learning, and Models for Big Data

Mon Feb 9

11:00 a.m.

Graduate Course 1:.Large Scale Machine Learning

Russ Salakhutdinov

Graduate Course 1:.Large Scale Machine Learning

Fields Institute, Stewart Library

Fri Feb 13

3:15 p.m.

Algebraic Combinatorics Seminar

Fields Institute, Room 210

Fri Feb 20

3:15 p.m.

Algebraic Combinatorics Seminar

Fields Institute, Room 210

Mon Feb 23 -
Fri Feb 27

Workshop on Visualization for Big Data: Strategies and Principles

Fields Institute, Room 230

Part of the Thematic Program on Statistical Inference, Learning, and Models for Big Data

Mon Feb 23

11:00 a.m.

Graduate Course 1:.Large Scale Machine Learning

Russ Salakhutdinov

Graduate Course 1:.Large Scale Machine Learning

Fields Institute, Stewart Library

Fri Feb 27

1:00 p.m.

Graduate Course 2: Topics in Inference for Big Data

Nancy Reid

Graduate Course 2: Topics in Inference for Big Data

Fields Institute, Stewart Library

Fri Feb 27

3:15 p.m.

Algebraic Combinatorics Seminar

Fields Institute, Room 210