Abstract:

This talk reviews the work of our group on the problem of inverse classification, i.e., the perturbation of a test case to minimize its posterior probability of an undesirable predicted class label, such as the predicted onset of a disease. Starting from exhaustive search on a k-nearest neighbor classifier, we develop mathematical optimization models to handle both smooth classifiers (e.g., SVMs) and general non-smooth classifiers (e.g., random forests). The ideas are further extended to predictions with longitudinal data. Results are applied to recommendation systems for patient risk minimization, incorporating a realistic and customizable cost model.

ZOOM INVITATION

Topic: Colloquia: Department of Statistics and Actuarial Science, The University of Iowa

Time: November 4, 2021 03:35 PM Central Time (US and Canada)

Join Zoom Meeting

https://uiowa.zoom.us/j/98928693758

Meeting ID: 989 2869 3758

One tap mobile

+13126266799,,98928693758# US (Chicago)

+16468769923,,98928693758# US (New York)

Dial by your location

        +1 312 626 6799 US (Chicago)

        +1 646 876 9923 US (New York)

        +1 301 715 8592 US (Washington DC)

        +1 346 248 7799 US (Houston)

        +1 669 900 6833 US (San Jose)

        +1 253 215 8782 US (Tacoma)

Meeting ID: 989 2869 3758

Find your local number: https://uiowa.zoom.us/u/adodl1V2PF

Join by SIP

98928693758@zoomcrc.com

Join by H.323

162.255.37.11 (US West)

162.255.36.11 (US East)

115.114.131.7 (India Mumbai)

115.114.115.7 (India Hyderabad)

213.19.144.110 (Amsterdam Netherlands)

213.244.140.110 (Germany)

103.122.166.55 (Australia Sydney)

103.122.167.55 (Australia Melbourne)

64.211.144.160 (Brazil)

69.174.57.160 (Canada Toronto)

65.39.152.160 (Canada Vancouver)

207.226.132.110 (Japan Tokyo)

149.137.24.110 (Japan Osaka)

Meeting ID: 989 2869 3758

Back to top »