Videos

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On Expressiveness and Optimization in Deep Learning Thumbnail

On Expressiveness and Optimization in Deep Learning

Presenter
  • Nadav Cohen
April 2, 2018
IAS
Designing Experiments for Improved Estimation of Particle Size Distributions in Ejecta Clouds Thumbnail

Designing Experiments for Improved Estimation of Particle Size Distributions in Ejecta Clouds

Presenter
  • Marylesa Howard
September 7, 2017
IMA
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
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
Understanding History through Topic Modeling Thumbnail

Understanding History through Topic Modeling

Presenter
  • David Blei
May 25, 2016
IPAM
Communication Efficient Algorithms for Distributed Machine Learning Thumbnail

Communication Efficient Algorithms for Distributed Machine Learning

Presenter
  • Nina Balcan
May 16, 2016
IMA