GS-BART: Graph split additive decision trees for classification and nonparametric regression of spatial and network data
Sponsor(s):
Statistical Science
Friday, February 23, 2024
3:30 pm - 4:30 pm
Huiyan Sang Professor of Statistics Texas A&M University
InfiAgent: A Multi-Tool Agent for AI Operating Systems
Sponsor(s):
Statistical Science
Wednesday, February 28, 2024
3:05 pm - 4:20 pm
Dr. Hongxia Yang, Head of Large Models, ByteDance US
Leveraging Visual Cognition in Data Visualization
Sponsor(s):
Statistical Science
Friday, March 01, 2024
3:30 pm - 4:30 pm
Danielle Szafir, Assistant Professor of Computer Science at the University of North Carolina-Chapel Hill
Bayesian trees and forests for unsupervised learning and their spatial adaptation properties
Sponsor(s):
Statistical Science
Friday, March 08, 2024
3:30 pm - 4:30 pm
Linxi Liu, Assistant Professor, University of Pittsburgh
Surrogate modeling and uncertainty quantification for inverse problems and dynamical systems
Sponsor(s):
Statistical Science
Friday, March 29, 2024
3:30 pm - 4:30 pm
Ying Hung, Professor, Rutgers University
Advances in Adversarial Risk Analysis
Sponsor(s):
Statistical Science
Friday, April 05, 2024
3:30 pm - 4:30 pm
Fabrizio Ruggeri, CNR IMATI, Milano, Italy
Quantum Markov chain Monte Carlo(s)
Sponsor(s):
Statistical Science
Friday, April 12, 2024
3:30 pm - 4:30 pm
Andrew Holbrook, Assistant Professor, UCLA
Sparse topic modeling via spectral decomposition and thresholding
Sponsor(s):
Statistical Science
Friday, April 19, 2024
3:30 pm - 4:30 pm
Claire Donnat, Department of Statistics, University of Chicago
Utilizing Network Structure to Flexibly Model Areal Data
Sponsor(s):
Statistical Science
Friday, June 07, 2024
10:00 am - 12:00 pm
Michael Christensen
Graphical and Isoperimetric Perspectives in Sampling and Regularization
Sponsor(s):
Statistical Science
Thursday, July 11, 2024
11:00 am - 1:00 pm
Ed Tam
Ensembling and Coordination Methods for Sequential Decision Making Under Uncertainty
Sponsor(s):
Statistical Science
Tuesday, July 16, 2024
10:00 am - 12:00 pm
Joseph Lawson
Bayesian forecasting and decisions under model uncertainty: Here and back again (1988–2024)
Sponsor(s):
Statistical Science
Friday, September 06, 2024
3:30 pm - 4:30 pm
Mike West, The Arts & Sciences Distinguished Professor (Emeritus Fall 2024) of Statistics & Decision Sciences, Duke University
German Studies Fall 2024 Teacher & Student Mixer!
Sponsor(s):
German Studies
Thursday, September 12, 2024
6:30 pm - 8:30 pm
Ballot design and electoral outcomes: The role of candidate order and party affiliation
Sponsor(s):
Statistical Science
Friday, September 13, 2024
3:30 pm - 4:30 pm
Alessandro Arlotto, Associate Professor of Business Administration and Mathematics. Decision Sciences, The Fuqua School of Business, Duke University
Normatively Backwards Rubric Scoring: Evidence from NIH Peer Review
Sponsor(s):
Statistical Science
Friday, September 20, 2024
3:30 pm - 4:30 pm
Elena Erosheva, Professor, University of Washington
Causally Sound Priors for Binary Experiments
Sponsor(s):
Statistical Science
Friday, September 27, 2024
3:30 pm - 4:30 pm
Carlos Cinelli, Assistant Professor, University of Washington
The Bayesian Infinitesimal Jackknife for Variance
Sponsor(s):
Statistical Science
Friday, October 04, 2024
3:30 pm - 4:30 pm
Ryan Giordano, Berkeley
Phystatistics: The Rise of the Data Physicist
Sponsor(s):
Statistical Science
Friday, October 18, 2024
3:30 pm - 4:30 pm
Benjamin Nachman, Staff Scientist, Lawrence Berkeley National Laboratory
On Mixture of Experts in Large-Scale Statistical Machine Learning Applications
Sponsor(s):
Statistical Science
Friday, October 25, 2024
3:30 pm - 4:30 pm
Nhat Ho, Assistant Professor, The University of Texas at Austin
Data integration approaches to estimate heterogeneous treatment effects
Sponsor(s):
Statistical Science
Friday, November 15, 2024
3:30 pm - 4:30 pm
Carly Brantner, Assistant Professor of Biostatistics & Bioinformatics, Duke University
