Machine Learning Seminar: Votes, points, and point estimates: the central role of uncertainty in election forecasting
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, POLIS: The Center for Political Leadership, Innovation, and Service, Political Science, Pratt School of Engineering, and Statistical Science
Wednesday, September 05, 2018
3:30 pm - 4:30 pm
Jody Heck Wortman
Machine Learning Seminar: Eva Lee (Georgia Tech)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, September 19, 2018
3:30 pm - 4:30 pm
Eva Lee
Machine Learning Seminar: Sayan Mukherjee (Duke University Statistics)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, September 26, 2018
3:30 pm - 4:30 pm
Sayan Mukherjee
Machine Learning Seminar: Tom Mitchell (Carnegie Mellon)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, October 04, 2018
3:30 pm - 4:30 pm
Tom Mitchell
Machine Learning Seminar: Adrian Raftery (Univ. of Washington Statistics/Sociology)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 10, 2018
3:30 pm - 4:30 pm
Adrian Raftery (Univ. of Washington Statistics/Sociology)
Machine Learning Seminar: Jason Eisner (Johns Hopkins CS Dept)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 17, 2018
3:30 pm - 4:30 pm
Jason Eisner (Johns Hopkins CS Dept)
Machine Learning Seminar: Daniel Bienstock (Columbia University)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 24, 2018
3:30 pm - 4:30 pm
Daniel Bienstock (Columbia University)
Machine Learning Seminar: Michael Kearns (Univ. of Pennsylvania CS Dept.)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, and Statistical Science
Wednesday, November 07, 2018
3:30 pm - 4:30 pm
Michael Kearns (Univ. of Pennsylvania CS Dept.)
Machine Learning Seminar: Thorsten Joachims (Cornell CS Dept.)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, and Statistical Science
Wednesday, November 14, 2018
3:30 pm - 4:30 pm
Thorsten Joachims (Cornell CS Dept.)
Machine Learning Seminar: Kathleen McKeown (Columbia Univ. CS Dept.)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, and Statistical Science
Wednesday, November 28, 2018
3:30 pm - 4:30 pm
Kathleen McKeown (Columbia Univ. CS Dept.)
Machine Learning Seminar: Pierre Jacob (Harvard University Statistics Dept.)
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, and Statistical Science
Wednesday, December 05, 2018
3:30 pm - 4:30 pm
Pierre Jacob (Harvard University Statistics Dept.)
