Videos

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TINNiK: A fast consistent method to infer the tree of blobs from gene tree quartets under the Network Multispecies Coalescent model

Presenter
  • Elizabeth Allman
October 22, 2024
ICERM

Have we tested diversification linked to traits?- A Bayesian perspective

Presenter
  • Rosana Zenil-Ferguson
October 21, 2024
ICERM
Learning from data through the lens of (ocean) models, surrogates, and their derivatives Thumbnail

Learning from data through the lens of (ocean) models, surrogates, and their derivatives

Presenter
  • Patrick Heimbach
September 22, 2022
IMSI
Overview: challenges and research directions in large scale data analytics and management Thumbnail

Overview: challenges and research directions in large scale data analytics and management

Presenter
  • René Jäkel
September 13, 2018
IPAM
Optimization Program: Workshop on the Interface of Statistics and Optimization (WISO); Jianqing Fan-WISO, Sparse Learning and Distributed PCA with Control of Statistical Errors and Computing Resources Thumbnail

Optimization Program: Workshop on the Interface of Statistics and Optimization (WISO); Jianqing Fan-WISO, Sparse Learning and Distributed PCA with Control of Statistical Errors and Computing Resources

February 9, 2017
SAMSI

Object Oriented Data Analysis: Principal Nested Submanifolds

Presenter
  • J. S. Marron
May 22, 2018
MBI
Introduction to data analytics with Apache Spark + Hands-On/Walkthrough Thumbnail

Introduction to data analytics with Apache Spark + Hands-On/Walkthrough

Presenter
  • René Jäkel
September 17, 2018
IPAM
Individualized Fusion Learning (iFusion) with Applications to Personalized Inference Thumbnail

Individualized Fusion Learning (iFusion) with Applications to Personalized Inference

Presenter
  • Minge Xie
September 15, 2017
IMA

Operations Research in Health Care: The Science/Practice Continuum

Presenter
  • Kalyan Pasupathy
July 26, 2017
IMA
City traffic forecasting using taxi GPS data Thumbnail

City traffic forecasting using taxi GPS data

Presenter
  • Yucheng Hu
October 14, 2015
IPAM
Random Matrices, Dimensionality Reduction, and Faster Numerical Linear Algebra Algorithms Thumbnail

Random Matrices, Dimensionality Reduction, and Faster Numerical Linear Algebra Algorithms

Presenter
  • Jelani Nelson
March 11, 2013
IAS
Scalable deep learning: using parallel algorithms and HPC systems to train large models on big data set Thumbnail

Scalable deep learning: using parallel algorithms and HPC systems to train large models on big data set

Presenter
  • Brian Van Essen
September 17, 2018
IPAM