
Zoom Recording ID: 96610307248
UUID: Ulr/E83kRWGGHY19KZmk9A==
Meeting Time: 20200625T23:47:07Z


Our third and final session will have two presentations “Prediction of hospital demand from the COVID19 death curve: IHME Model” and “Molecular epidemiology of SARSCov2: what…


“Variational Perspectives on Machine Learning: Algorithms, Inference, and Fairness”Machine learning plays a key role in shaping the decisions made by a growing number of institutions.…


Ariel OrtizBobea, Assistant Professor, College of Agriculture and Life
Sciences, Charles H. Dyson School of Applied Economics and Management.
June 17th, 2019.




Lowrank structures are common in modern data analysis, and they play essential roles in various applications. It is challenging to recover lowrank structures reliably and efﬁciently from corrupted…


Motivated by today’s cloud computing capabilities in large server farms, we present a queueing
model where jobs are split into a number of pieces which are then randomly routed to…


Principal components analysis (PCA) is a wellknown technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…


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


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…


Natural hazards such as floods, heatwaves and windstorms can cause havoc for the people affected and typically result in huge financial losses. Druginduced liver injury is a major public health and…


Variational analysis has come of age. Long an elegant theoretical toolkit for variational mathematics and nonsmooth optimization, it now increasingly underpins the study of algorithms, and a rich…


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


Thursday, February 6, 2014 at 4:15pm
Frank H. T. Rhodes Hall, 253
ORIE Colloquium: PoLing Loh (CalBerkeley)  Nonconvex Methods for HighDimensional Regression with Noisy and Missing Data
Noisy…


Tuesday, April 8, 2014, 253 Rhodes Hall
Abstract: It is extremely important in many application domains to have transparency in predictive modeling. Domain experts do not tend to prefer "black…


Friday, March 21, 2014 at 3:30pm
Frank H. T. Rhodes Hall, 655
CAM Colloquium: Robin Snyder (Case Western)  Living in a variable environment: when should organisms hedge their bets and when should…
