Combining Information from Multiple Sources in Bayesian Modeling
Sponsor(s):
Statistical Science
Wednesday, May 18, 2016
10:00 am - 12:00 pm
Tracy Schifeling
Brain Recordings in Epilepsy Patients and Epilepsy Research
Monday, May 23, 2016
12:00 pm - 5:00 pm
Various
Information-theoretic limits of compressed sensing
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Monday, June 20, 2016
11:45 am - 1:00 pm
Helmut Bölcskei
Information Theoretic Security Parts I & II
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Tuesday, June 21, 2016
9:00 am - 11:50 am
Aylin Yener Professor, Pennsylvania State University
The Peeling Decoder: Theory and Applications Parts I & II
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Tuesday, June 21, 2016
2:00 pm - 4:50 pm
The Interference Channel Parts I & II
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, June 22, 2016
9:00 am - 11:50 am
Natasha Devroye Associate Professor, University of Illinois at Chicago
The Mathematics of Deep Learning Parts I & II
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, June 22, 2016
2:00 pm - 4:50 pm
Helmut Bölcskei Professor, ETH Zurich
Global Optimality in Matrix and Tensor Factorization, Deep Learning, and Beyond Parts I & II
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, June 23, 2016
9:00 am - 11:50 am
René Vidal Professor, Johns Hopkins University
Robust Uncertainty Quantification and Scalable Computation for Computer Models with Massive Output
Sponsor(s):
Statistical Science
Friday, July 08, 2016
10:00 am - 12:00 pm
Mengyang Gu
Methods for Imputing Missing Values & Synthesizing Confidential Values for Continuous & Magnitude Data
Sponsor(s):
Statistical Science
Monday, July 18, 2016
1:00 pm - 2:00 pm
Lan Wei
Machine Learning Seminar
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Friday, September 02, 2016
3:30 pm - 5:00 pm
Tyler McCormick
Machine Learning Seminar
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Duke Center for Systems Biology (DCSB), Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, September 07, 2016
3:30 pm - 5:00 pm
Philip Schniter
Bayesian models for multivariate dynamic survey data
Sponsor(s):
Statistical Science
Friday, September 09, 2016
3:30 pm - 4:30 pm
Amy Herring, UNC Gillings School of Global Public Health
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, September 15, 2016
11:45 am - 1:15 pm
Fred Isbell (SAP Services)
Convergence Analysis of MCMC Samplers for Bayesian Linear Mixed Models with p > N
Sponsor(s):
Statistical Science
Friday, September 16, 2016
3:30 pm - 4:30 pm
Tavis Abrahamsen, Visiting Assistant Professor, Duke University
Machine Learning Seminar
Sponsor(s):
Information Initiative at Duke (iiD), Biomedical Engineering (BME), Computer Science, Duke Center for Systems Biology (DCSB), Mathematics, Physics, Pratt School of Engineering, and Statistical Science
Wednesday, September 21, 2016
3:30 pm - 4:30 pm
Dr. Christopher Wiggins
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, September 22, 2016
11:45 am - 12:45 pm
Angel Hsu and Mark DeLong
The Dynamics of Expected Returns: Evidence from Multi-Scale Time Series Modeling
Sponsor(s):
Statistical Science
Friday, September 23, 2016
3:30 pm - 4:30 pm
Daniele Bianchi, Warwick Business School
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, September 29, 2016
11:45 am - 12:45 pm
Daniel Egger
Large Bayesian time varying parameter models for macroeconomic forecasting
Sponsor(s):
Statistical Science
Friday, September 30, 2016
3:30 pm - 4:30 pm
Gianni Amisano, Federal Reserve
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Electrical and Computer Engineering (ECE), Mathematics, and Statistical Science
Thursday, October 06, 2016
11:45 am - 1:00 pm
Raja Giryes
Sparse Graphical Vector Autoregression: A Bayesian Approach
Sponsor(s):
Statistical Science
Friday, October 14, 2016
3:30 pm - 4:30 pm
Daniel Ahelegbey, Boston University
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, and Statistical Science
Thursday, October 20, 2016
11:45 am - 1:00 pm
Allison Vonderstrasse
Bayesian inference of intra-tumor heterogeneity based on next-generation sequencing data
Sponsor(s):
Statistical Science
Friday, October 21, 2016
3:30 pm - 4:30 pm
Yuan Ji, University of Chicago
Machine Learning Seminar
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Computer Science, Duke Center for Systems Biology (DCSB), Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 26, 2016
3:30 pm - 5:00 pm
Florent Krzakala
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, and Statistical Science
Thursday, October 27, 2016
11:45 am - 1:00 pm
Larry Blakeman
On a class of interacting randomly reinforced processes
Sponsor(s):
Statistical Science
Friday, October 28, 2016
3:30 pm - 4:30 pm
Sonia Petrone, Bocconi University
Machine Learning Seminar
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Computer Science, Duke Center for Systems Biology (DCSB), Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, November 02, 2016
3:30 pm - 4:30 pm
Tyler McCormick
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Computer Science, Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, and Statistical Science
Thursday, November 03, 2016
11:45 am - 12:45 pm
David Levin
Sparse Graphs via CRMs and Advances in the Associated MCMC
Sponsor(s):
Statistical Science
Friday, November 04, 2016
3:30 pm - 4:30 pm
Emily Fox, University of Washington
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, November 10, 2016
11:45 am - 1:00 pm
Jim Moody, Laura Sheble, Molly Chen
Macroeconomic Predictions with Big Data: The Illusion of Sparsity
Sponsor(s):
Statistical Science
Friday, November 11, 2016
3:30 pm - 4:30 pm
Domenico Giannone, Federal Reserve Bank of New York
Machine Learning/Sensing, Signals, and Communication Seminar
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Duke Center for Systems Biology (DCSB), Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Friday, November 11, 2016
All Day
Stark Draper
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, and Statistical Science
Thursday, November 17, 2016
11:45 am - 1:00 pm
McVey/TransLoc
Bayesian Predictive Density Combinations for Exchange Rate Models
Sponsor(s):
Statistical Science
Friday, November 18, 2016
3:30 pm - 4:30 pm
Knut Are Aastveit, Norges Bank
Machine Learning Seminar
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections, Computer Science, Duke Center for Systems Biology (DCSB), Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, November 30, 2016
3:30 pm - 5:00 pm
Ben Marlin, UMass CS Dept.
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Computer Science, Duke Center for Systems Biology (DCSB), Electrical and Computer Engineering (ECE), Machine Learning, Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, December 01, 2016
11:45 am - 1:00 pm
Jessie Tenenbaum
STATS 440 Case Studies Capstone Poster Event
Sponsor(s):
Information Initiative at Duke (iiD), Biology, Biostatistics and Bioinformatics, Electrical and Computer Engineering (ECE), Mathematics, and Statistical Science
Wednesday, December 07, 2016
11:45 am - 1:00 pm
Statistical Science Faculty Meetings
Sponsor(s):
Statistical Science
Monday, January 09, 2017
11:45 am - 1:00 pm
Merlise Clyde, Chair
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, January 12, 2017
11:45 am - 2:00 pm
Wei Zhu
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