Machine Learning LUNCH Seminar
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Friday, January 20, 2017
11:45 am - 1:00 pm
Becca Willett
Observations on reconstructing old master paintings and Ghissi's missing panel
Sponsor(s):
Information Initiative at Duke (iiD), Art, Art History & Visual Studies, Bass Connections-Information, Society & Culture, Computer Science, Duke Digital Humanities Initiative, Electrical and Computer Engineering (ECE), Franklin Humanities Institute (FHI), Mathematics, Romance Studies, and Statistical Science
Monday, January 23, 2017
4:00 pm - 5:00 pm
Charlotte Caspers
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, January 26, 2017
11:45 am - 1:00 pm
Jill Goldstein (Accenture)
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, January 26, 2017
11:45 am - 1:00 pm
Jill Goldstein (Accenture)
Vishesh Karwa - Harvard University
Sponsor(s):
Statistical Science
Friday, January 27, 2017
3:30 pm - 4:30 pm
Vishesh Karwa - Harvard University
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, February 02, 2017
11:45 am - 1:00 pm
Tim Hopper
Bayesian Covariance Estimation with Applications in High-throughput Biology
Sponsor(s):
Statistical Science
Friday, February 03, 2017
3:30 pm - 4:30 pm
Alexander Franks, University of Washington
Statistical Science Faculty Meetings
Sponsor(s):
Statistical Science
Monday, February 06, 2017
11:45 am - 1:00 pm
Merlise Clyde, Chair
Asymptotic and finite-sample properties of estimators based on stochastic gradients
Sponsor(s):
Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Tuesday, February 07, 2017
3:30 pm - 4:30 pm
Panagiotis (Panos) Toulis , University of Chicago
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, February 09, 2017
11:45 am - 2:00 pm
Wilkins Aquino
A Bayesian Multivariate Functional Dynamic Linear Model
Sponsor(s):
Statistical Science
Friday, February 10, 2017
3:30 pm - 4:30 pm
Dan Kowal - Cornell
Machine Learning Seminar
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, February 15, 2017
3:30 pm - 4:30 pm
Duy Thai
Bayesian Nonparametric Modeling of Network Data
Sponsor(s):
Statistical Science
Friday, February 17, 2017
3:30 pm - 4:30 pm
Daniele Durante - Universita Degli Studi Di Padova
Machine Learning Seminar
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, February 22, 2017
3:30 pm - 5:00 pm
Guillermo Sapiro
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, February 23, 2017
11:45 am - 1:00 pm
Tuhin Sahai
Bayesian Deep Learning and Black Box Variational Inference
Sponsor(s):
Statistical Science
Friday, February 24, 2017
3:30 pm - 4:30 pm
Rajesh Ranganath, Princeton
Machine Learning Seminar
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, March 01, 2017
3:30 pm - 5:00 pm
Gary King
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, March 02, 2017
11:45 am - 1:45 pm
Jorge Silva (SAS)
Markov process models for time-varying networks: basic theory and practical limitations
Sponsor(s):
Statistical Science
Friday, March 03, 2017
3:30 pm - 4:30 pm
Harry Crane - Rutgers University
Statistical Science Faculty Meetings
Sponsor(s):
Statistical Science
Monday, March 06, 2017
11:45 am - 1:00 pm
Merlise Clyde, Chair
Machine Learning Info Session
Sponsor(s):
Machine Learning, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, March 08, 2017
3:30 pm - 5:00 pm
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, March 09, 2017
9:15 am - 11:15 am
Mike Dolan Fliss (CounterTools)
Monte Carlo estimates with user-specified relative error
Sponsor(s):
Statistical Science
Friday, March 10, 2017
3:30 pm - 4:30 pm
Mark Huber, Claremont McKenna College
Sparse and time-varying covariance modeling
Sponsor(s):
Statistical Science
Monday, March 20, 2017
3:30 pm - 4:30 pm
Hedibert Freitas Lopes, Insper
NonGaussian Multivariate Time Series Modeling
Sponsor(s):
Statistical Science
Monday, March 20, 2017
3:30 pm - 4:30 pm
Refik Soyer, George Washington University
Machine Learning Seminar
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, and Statistical Science
Wednesday, March 22, 2017
3:30 pm - 5:00 pm
Larry Carin
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, March 23, 2017
11:45 am - 1:00 pm
Dr. Tim Sell
CONVEX-OPTIMIZING THE POWER GRID
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections, Bass Connections-Energy, Civil and Environmental Engineering (CEE), Computer Science, Electrical and Computer Engineering (ECE), Energy Initiative, Mathematics, Nicholas Institute for Environmental Policy Solutions, Nicholas School-Miscellaneous Events, and Statistical Science
Thursday, March 23, 2017
4:45 pm - 5:45 pm
Elliott Wolf '08 and Alex Woolf of Lineage Logistics
Towards Automated Machine Learning
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Friday, March 24, 2017
12:00 pm - 1:00 pm
Alp Kucukelbir, Columbia University
Tempered Particle Filtering
Sponsor(s):
Statistical Science
Friday, March 24, 2017
3:30 pm - 4:30 pm
Frank Schorfheide, Penn Arts & Sciences
Statistical Issues in Quantifying Text Mining Performance
Sponsor(s):
Statistical Science
Monday, March 27, 2017
10:00 am - 12:00 pm
Christine Chai
Bayesian Modeling & Computation for Complex Spatial Point Patterns
Sponsor(s):
Statistical Science
Monday, March 27, 2017
3:00 pm - 5:00 pm
Shinichiro Shirota
Cross-country macro evidence on the effectiveness of unconventional monetary policies in a low interest rate environment
Sponsor(s):
Statistical Science
Monday, March 27, 2017
3:30 pm - 4:30 pm
Jouchi Nakajima - Bank for International Settlements
Bayesian Dynamic Modeling for Streaming Network Data
Sponsor(s):
Statistical Science
Wednesday, March 29, 2017
10:00 am - 12:00 pm
Xi Chen
Machine Learning Seminar
Sponsor(s):
Machine Learning, Bass Connections, Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, March 29, 2017
3:30 pm - 5:00 pm
Eric Laber
Bayesian Kernel Models for Statistical Genetics and Cancer Genomics
Sponsor(s):
Statistical Science
Thursday, March 30, 2017
10:00 am - 12:00 pm
Lorin Crawford
Data Dialogue - Savoy
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, March 30, 2017
11:45 am - 1:00 pm
Savoy
Unique representations of sparse factor models
Sponsor(s):
Statistical Science
Friday, March 31, 2017
3:30 pm - 4:30 pm
Sylvia Kaufmann (Gerzensee, Swiss Ntl Bank, Economics & Finance)
Dynamic Modeling and Bayesian Predictive Synthesis
Sponsor(s):
Statistical Science
Monday, April 03, 2017
9:00 am - 11:00 am
Kenichiro McAlinn
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