Search for tag: "regression analysis"

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 45 plays

Giles Hooker's Zoom Meeting

From  Giles Hooker 76 plays

ORIE Colloquium, 2018-10-29 - Jinchi Lv: Is Deep Learning a Black Box Statistically?

Title: Is Deep Learning a Black Box Statistically? Abstract: Deep learning has benefited almost every aspect of modern big data applications. Yet its statistical properties still largely remain…

From  E. Cornelius 209 plays

27 - Curve fitting and the inner product Session 27

2009-03-27 09:08:51+00

From  mjp337@cornell.edu 62 plays

ORIE Colloquium on 1/29/2015 - Jason Lee: Selective Inference via the Condition on Selection Framework: Applications to Inference After Variable Selection

Selective Inference is the problem of testing hypotheses that are chosen or suggested by the data. Inference after variable selection in high-dimensional linear regression is a common example of…

From  E. Cornelius 6 plays

ORIE Colloquium, 2015-01-16 - Daniel Russo: Learning to Optimize

The information revolution is spawning systems that require very frequent decisions and provide high volumes of data concerning past outcomes. Fueling the design of algorithms used in such systems is…

From  E. Cornelius 150 plays

ORIE Colloquium, 2015-01-26 - Damek Davis: The Design and Analysis of Large-scale Operator-splitting Schemes

Continuous optimization is a key component of modern data analysis. Recently, the demands of extremely large-scale applications have shifted the focus from high cost, high accuracy methods to low…

From  E. Cornelius 91 plays

ORIE Colloquium on 3/25/2014 - Rob Freund: 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 30 plays

ORIE Colloquium on 2/6/2014 - 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…

From  E. Cornelius 62 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 191 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 32 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…

From  E. Cornelius 122 plays

ORIE Colloquium on 9/17/2013 - Serdar Simsek: Does Field Price Discretion Improve Profits? Evidence from Auto Lending

In many markets, it is common for headquarters to create a price list while local salespeople have discretion to negotiate prices for individual deals. How much (if any) pricing discretion to grant…

From  E. Cornelius 18 plays

ORIE Colloquium on 11/29/2011 - John Birge: Monte Carlo and Bayesian Methods for Stochastic Dynamic Programs

Standard approaches to solving stochastic dynamic programs suffer from the curse of dimensionality. Taking advantage of structural properties such as convexity can help reduce the effect of dimension…

From  E. Cornelius 9 plays

CAM Colloquium, 2014-09-19 - Julianne Chung: Designing Optimal Spectral Filters and Low-rank Matrices for Inverse Problems

From  E. Cornelius 74 plays

CAM Colloquium, 2016-05-06 - Sendhil Mullamathan: Human Decisions and Machine Predictions

From  E. Cornelius 25 plays