Search for tag: "regression"

ORIE Colloquium: Constantine Caramanis (University of Texas at Austin), April 6, 2021

“MLE and the EM algorithm for Mixtures: Minimax Results” The Expectation-Maximization (EM) algorithm is a widely used tool for computing the maximum likelihood estimator (MLE) in…

From  Henry Lam on April 6th, 2021 1 plays

PAM 6810 Prosem Parfait Eloundou-Enyegue

Zoom Recording ID: 91827104662 UUID: hK217dkcRveQ9kXsSk87Ig== Meeting Time: 2020-12-04T16:41:42Z

From  Meg Cole on December 4th, 2020 3 plays

Mathmatical Modeling Infectious Disease III

Our third and final session will have two presentations “Prediction of hospital demand from the COVID-19 death curve: IHME Model” and “Molecular epidemiology of SARS-Cov-2: what…

From  Dave Frank on April 27th, 2020 32 plays

Young Researchers October 2019 (Not recorded correctly)

From  E. Cornelius on October 5th, 2019 6 plays

ORIE Colloquium, 2014-03-25 - Rob Freund (MIT): A First-Order View of Some Boosting Methods: Computational Guarantees and Connections to Regularization

Tuesday, March 25, 2014 at 4:15pm Frank H. T. Rhodes Hall, 253 ORIE Colloquium: Rob Freund (MIT) - A First-Order View of Some Boosting Methods: Computational Guarantees and Connections to…

From  E. Cornelius on May 14th, 2018 18 plays

ORIE Colloquium, 2014-02-06 - Po-Ling Loh (Cal-Berkeley): Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data

Thursday, February 6, 2014 at 4:15pm Frank H. T. Rhodes Hall, 253 ORIE Colloquium: Po-Ling Loh (Cal-Berkeley) - Nonconvex Methods for High-Dimensional Regression with Noisy and Missing Data Noisy and…

From  E. Cornelius on May 14th, 2018 33 plays

ORIE Colloquium, 2014-12-19 - Nathan Kallus: From Predictive to Prescriptive Analytics

Many operational problems in data-rich environments can be characterized by three primitives: data on uncertain quantities of interest such as simultaneous demands, concurrent auxiliary data such as…

From  E. Cornelius on May 4th, 2018 151 plays

CAM Colloquium September 19, 2014 - Julianne Chung: Designing Optimal Spectral Filters and Low-Rank Matrices for Inverse Problems

Computing reliable solutions to inverse problems is important in many applications such as biomedical imaging, computer graphics, and security. Regularization by incorporating prior knowledge is…

From  E. Cornelius on May 4th, 2018 11 plays

ORIE Colloquium, 2013-02-20 - Sahand Negahban: Structured Estimation in High-Dimensions

ORIE/Statistics Colloquium: Sahand Negahban (MIT) - Structured Estimation in High-Dimensions Wednesday, February 20, 2013 at 4:15pm Frank H. T. Rhodes Hall, 253 Modern techniques in data accumulation…

From  E. Cornelius on April 30th, 2018 81 plays