Monthly Archives: September 2019
Prediction Models for Integer and Count Data
September 25th, 12:00 pm- 1:00 pm in DCH 3092 Speaker: Daniel Kowal (STAT) Please indicate interest, especially if you want lunch, here. Abstract: A challenging scenario for prediction and inference occurs when the outcome variables are integer-valued, such as counts, … Continue reading
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Leveraging structure in cancer imaging data to predict clinical outcomes
September 18th, 12:00 pm- 1:00 pm in DCH 3092 Speaker: Souptik Barua (ELEC) Please indicate interest, especially if you want lunch, here. Abstract: Immunotherapy and radiation therapy are two of the most prominent strategies used to treat cancer. While both … Continue reading
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Strong mixed-integer programming formulations for trained neural networks
September 11th, 12:00 pm- 1:00 pm in DCH 3092 Speaker: Joey Huchette (CAAM) Please indicate interest, especially if you want lunch, here. Abstract: We present mixed-integer programming (MIP) formulations for high-dimensional piecewise linear functions that correspond to trained neural networks. … Continue reading
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Data Integration: Data-Driven Discovery from Diverse Data Sources
September 4th, 12:00 pm- 1:00 pm in DCH 3092 Speaker: Genevera Allen (ECE) Please indicate interest, especially if you want lunch, here. Abstract: Data integration, or the strategic analysis of multiple sources of data simultaneously, can often lead to discoveries … Continue reading
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