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Industrial Affiliates Annual Conference

The Annual Industrial Affiliates Conference will be attended by IA Program Members, Statistics Department faculty and graduate students. Affiliates will have an opportunity to meet the students and faculty, and will give a short presentation: a 25-minute, informal talk that introduces the speaker and the company, and offers a discussion of the role of statistics within that company, or even poses a statistical problem of particular interest to that company or industry.

We also expect a number of graduate students to present their research. This one-day event is intended to be informative and fun, with plenty of time for students and Affiliates to get to know each other better.

Friday, February 23, 2018
9am to 4:30pm 
Huang Engineering Center, Mackenzie Room 300

► 2018 Conference Program ◄

9:00 Welcome

Session I: Jacqueline Meulman

9:10 Google—Omkar Muralidharan, Sangho Yoon, Sunita Verma
9:35 Paulo Orenstein, 4th-year doctoral student
    Scalable MCMC for Bayes Shrinkage Priors
10:00 Baidu Research—Kenneth W. Church, Ping Li, Yaliang Li, Tao Yang

10:25 Break

Session II: Guenther Walther

10:50 Gene Katsevich, 4th-year doctoral student
   The Multilayer Knockoff Filter: Controlled Multi-Resolution Variable Selection
11:15 Stitch Fix—Mike Hochster, Tim Sweetser, Stephanie Yee
11:40 Pragya Sur, 4th-year doctoral student
   On the Likelihood Ratio Test in High-Dimensional Logistic Regression

12:05 Lunch

Session III: Art Owen

1:05 BlackRock—Brad Betts, Pierre Demartines, Kwangmoo Koh
1:30 Evan Rosenman, 3rd-year doctoral student
    Using Poisson Binomial GLMs to Reveal Voter Preferences
1:55 Microsoft—Somit Gupta

2:20 Break

Session IV: John Chambers

2:45 Ya Le, 6th-year doctoral student
    Distributed Statistical Learning
3:10 Two Sigma—Hera He, Yuming Kuang, Caterina Recio
3:35 Stephen Bates, 3rd-year doctoral student
   Log-ratio Lasso: Scalable, Sparse Estimation for Log-ratio Models

4:00 Closing Remarks