Videos

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ASTRO Fall Course: James P. Long- Some Statistical Aspects of Photometric Redshift Estimation Thumbnail

ASTRO Fall Course: James P. Long- Some Statistical Aspects of Photometric Redshift Estimation

November 9, 2016
SAMSI
ASTRO Fall Course: Hyungsuk Tak- Strong Lens Time Delay Estimation Thumbnail

ASTRO Fall Course: Hyungsuk Tak- Strong Lens Time Delay Estimation

November 2, 2016
SAMSI
ASTRO Fall Course: Jessi Cisewski- Approximate Bayesian Computation Thumbnail

ASTRO Fall Course: Jessi Cisewski- Approximate Bayesian Computation

October 26, 2016
SAMSI
Coarse-graining approaches in materials systems undergoing coarsening Thumbnail

Coarse-graining approaches in materials systems undergoing coarsening

Presenter
  • Maria Emelianenko
October 24, 2016
IPAM
ASTRO Fall Course: Tom Loredo- Hierarchical Bayesian Modeling Thumbnail

ASTRO Fall Course: Tom Loredo- Hierarchical Bayesian Modeling

October 19, 2016
SAMSI
ASTRO Fall Course: Data Science Meets Astronomy: Galaxy Separation with Machine Learning Thumbnail

ASTRO Fall Course: Data Science Meets Astronomy: Galaxy Separation with Machine Learning

October 12, 2016
SAMSI
ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part III Thumbnail

ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part III

September 21, 2016
SAMSI
ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part II Thumbnail

ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part II

September 14, 2016
SAMSI
ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part I Thumbnail

ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part I

September 7, 2016
SAMSI
Oscillatory Gas and Liquid Flows at Nanometer Length Scales Thumbnail

Oscillatory Gas and Liquid Flows at Nanometer Length Scales

Presenter
  • John Sader
April 12, 2016
IMA

Redundancy and control in complex networks

Presenter
  • Luis Rocha
April 11, 2016
MBI
Applying Subgradient Methods -- and Accelerated Gradient Methods -- to Efficiently Solve General Convex, Conic Optimization Problems Thumbnail

Applying Subgradient Methods -- and Accelerated Gradient Methods -- to Efficiently Solve General Convex, Conic Optimization Problems

Presenter
  • James Renegar
January 26, 2016
IMA