Encounters with imprecise probabilities
Sponsor(s):
Statistical Science
Friday, September 01, 2017
3:30 pm - 4:30 pm
James Berger, Duke University
Change-point detection for locally dependent data
Sponsor(s):
Statistical Science
Friday, September 08, 2017
3:30 pm - 4:30 pm
Hao Chen, University California, Davis
Machine Learning Seminar
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Political Science, Pratt School of Engineering, Social Science Research Institute (SSRI), and Statistical Science
Wednesday, September 13, 2017
3:30 pm - 4:30 pm
Dave Seigal
Data Dialogues
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, September 14, 2017
11:45 am - 1:00 pm
Mark Sendak, Clinical Informatics DIHI
Claude Shannon: A Mind at Play
Sponsor(s):
Information Initiative at Duke (iiD), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, September 14, 2017
4:30 pm - 5:30 pm
Jimmy Soni and Rob Goodman, Duke Alumni
Multi-scale Classification using Localized Spatial Depth
Sponsor(s):
Statistical Science
Friday, September 15, 2017
3:30 pm - 4:30 pm
Subhajit Dutta
Machine Learning Seminar
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, September 20, 2017
3:30 pm - 4:30 pm
David Choi Assistant Professor of Statistics and Information Systems
Data Dialogues
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, September 21, 2017
11:45 am - 1:00 pm
Carolyn Zhang
Global-Local Priors for Small Area Estimation
Sponsor(s):
Statistical Science
Friday, September 22, 2017
3:30 pm - 4:30 pm
Malay Ghosh, University of Florida
Understanding Features in Reinforcement Learning
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, September 27, 2017
3:30 pm - 4:30 pm
Ron Parr, Duke Computer Science
Machine Learning in 10 Epochs
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, September 28, 2017
11:45 am - 1:00 pm
Nishant Shukla, UCLA
Information Recovery in Shuffled Graphs via Graph Matching
Sponsor(s):
Statistical Science
Friday, September 29, 2017
3:30 pm - 4:30 pm
Vince Lyzinski, Johns Hopkins University
Controlling Machine Learning with Deep Lattice Networks and Policy Constraints
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 04, 2017
3:30 pm - 4:30 pm
Maya Gupta, Google Research
Percent Change Estimation in A/B Testing
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, October 05, 2017
11:45 am - 1:00 pm
Jacopo Soriano
Three principles of data science: predictability, stability, and computability
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 11, 2017
11:45 am - 1:00 pm
Bin Yu, Statistics, University of California, Berkeley
CANCELLED More for Less: Adaptive Labeling Payments in Online Labor Markets
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 11, 2017
3:30 pm - 4:30 pm
Maytal Saar-Tsechansky, Associate Professor, University of Texas
Classical Music Composition Using State Space Models
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, October 12, 2017
11:45 am - 1:00 pm
Anna Yanchenko
Iron Age Hebrew Epigraphy in the Silicon Age: An Algorithmic Approach To Study Paleo-Hebrew Inscriptions
Sponsor(s):
Information Initiative at Duke (iiD), Art, Art History & Visual Studies, Arts & Sciences (A&S), Asian & Middle Eastern Studies (AMES), Bass Connections-Information, Society & Culture, Center for Jewish Studies, Classical Studies, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, October 12, 2017
2:00 pm - 3:00 pm
Barak Sober (Tel Aviv University)
Unbiased Markov chain Monte Carlo with couplings
Sponsor(s):
Statistical Science
Friday, October 13, 2017
3:30 pm - 4:30 pm
Pierre Jacob, Harvard University
Landscapes of the brain: analysis and modeling of behavior and large-scale neural activity
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Duke Center for Genomic and Computational Biology (GCB), Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Tuesday, October 17, 2017
12:00 pm - 2:00 pm
Tim Dunn (Duke Health Data Science Fellow)
Expression Recovery in Single Cell RNA Sequencing
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), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 18, 2017
12:00 pm - 1:00 pm
Nancy Zhang, Statistics, University of Pennsylvania
Simulation Based Fungal Disease Modeling In Agriculture Using Big Data
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, October 19, 2017
11:45 am - 12:45 pm
Drew Marticorena
A projection-based approach for spatial generalized linear mixed models
Sponsor(s):
Statistical Science
Friday, October 20, 2017
3:30 pm - 4:30 pm
Murali Haran, Penn State
On Perfect Classification and Clustering for Gaussian Processes
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, October 25, 2017
3:30 pm - 4:30 pm
Subhajit Dutta
Can Data+ bring democracy to America?
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, October 26, 2017
11:45 am - 1:00 pm
Jonathan Mattingly/Greg Herschlag
Bayesian Approaches for Dynamic Model Selection: two contributions
Sponsor(s):
Statistical Science
Friday, October 27, 2017
3:30 pm - 4:30 pm
Michele Guindani, University of California, Irvine
The Story Algorithm: Practical Communication Tools for Conveying the Reality of Research
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, November 01, 2017
3:30 pm - 4:30 pm
Katherine Gorman, Executive Producer and Co-Host of @TlkngMchns
CANCELLED: Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, November 02, 2017
11:45 am - 12:45 pm
Michael Catanzaro
An MCMC Approach to Empirical Bayes Inference and Bayesian Sensitivity Analysis via Empirical Processes
Sponsor(s):
Statistical Science
Friday, November 03, 2017
3:30 pm - 4:30 pm
Hani Doss, University of Florida
Using Machine Learning for High-Stakes Decision Making
Sponsor(s):
Machine Learning, Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Information Initiative at Duke (iiD), Mathematics, and Statistical Science
Monday, November 06, 2017
12:00 pm - 1:00 pm
Hima Lakkaraju
Applications & Computation of Stateful Polya Trees
Sponsor(s):
Statistical Science
Tuesday, November 07, 2017
10:00 am - 12:00 pm
Jonathan Christensen
Data Dialogue
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biostatistics and Bioinformatics, Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, November 09, 2017
11:45 am - 1:00 pm
Anthea Monod (Columbia University)
Bayesian Non-Parametric Priors for Functional Data & Partition Labeling Models
Sponsor(s):
Statistical Science
Thursday, November 09, 2017
1:45 pm - 3:45 pm
Christoph Hellmayr
Meta-Analysis With Multiple Imputation: Constructing Data Banks for Hard-To-Study Populations
Sponsor(s):
Statistical Science
Friday, November 10, 2017
3:30 pm - 4:30 pm
Elly Kaizar, Ohio State
Interactive Learning of Structures
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), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, November 15, 2017
3:30 pm - 4:30 pm
Sanjoy Dasgupta, Professor of Computer Science and Engineering, UC San Diego
Spectral Approaches to Partial Shape Matching
Sponsor(s):
Information Initiative at Duke (iiD), Bass Connections-Information, Society & Culture, Biomedical Engineering (BME), Biostatistics and Bioinformatics, Computational Biology and Bioinformatics (CBB), Computer Science, Electrical and Computer Engineering (ECE), Mathematics, Pratt School of Engineering, and Statistical Science
Thursday, November 16, 2017
2:00 pm - 3:00 pm
Emanuele RodolĂ
Statistical Concepts for Single-Cell Genomics
Sponsor(s):
Statistical Science
Friday, November 17, 2017
3:30 pm - 4:30 pm
Lior Pachter, Cal Tech
Teaching to Learn: Statistics in Data Science
Sponsor(s):
Statistical Science
Monday, November 27, 2017
2:00 pm - 3:00 pm
David Dalpiaz, University of Illinois
Bias in, bias out: predictive models in the criminal justice system
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), Mathematics, Pratt School of Engineering, and Statistical Science
Wednesday, November 29, 2017
3:30 pm - 4:30 pm
Kristian Lum, Lead Statistician at Human Rights Data Analysis Group
Anchored Bayesian Mixture Models
Sponsor(s):
Statistical Science
Wednesday, November 29, 2017
3:30 pm - 4:30 pm
Deborah Kunkel, The Ohio State University
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