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Found 41 events
OLD CHEMISTRY 116 X 09/26/2023 X
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Accurate and scalable large-scale variational inference for mixed models

Sponsor(s): Statistical Science
Friday, September 29, 2023
3:30 pm - 4:30 pm
Old Chemistry 116
Omiros Papaspiliopoulos, Professor, Bocconi University
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When a little imprecision can help: Case studies from statistical privacy

Sponsor(s): Statistical Science
Friday, October 06, 2023
3:30 pm - 4:30 pm
Old Chemistry 116
Ruobin Gong, Assistant Professor, Rutgers
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Collaborative and Federated Data Analytics Beyond Predictive Modeling

Sponsor(s): Statistical Science
Friday, October 20, 2023
3:30 pm - 4:30 pm
Old Chemistry 116
Raed Al Kontar, Assistant Professor, University of Michigan
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Machine Learning to Infer and Control Brain State

Sponsor(s): Statistical Science
Friday, November 03, 2023
3:30 pm - 4:30 pm
Old Chemistry 116
David Carlson, Assistant Professor, Civil and Environmental Engineering, Duke University
portraits of speakers

Career Opportunities in Academic Healthcare

Sponsor(s): Statistical Science
Wednesday, November 08, 2023
3:05 pm - 4:20 pm
Old Chemistry 116
Gina-Maria Pomann PhD, Assistant Professor, Department of Biostatistics and Bioinformatics, Duke University School of Medicine and Richard Barfield, Staff Biostatistician, Department of Biostatistics and Bioinformatics, Duke University School of Medicine
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Grey-Box Bayesian Optimization for Human-in-the-loop Optimization

Sponsor(s): Statistical Science
Friday, November 10, 2023
3:30 pm - 4:30 pm
Old Chemistry 116
Peter Frazier Eleanor and Howard Morgan Professor Operations Research and Information Engineering Cornell University
Flyer of the event which has title, day, date, time of the event. Speakers' headshots, names and affiliations, Africa Initiative logo and image of a few soldiers.

The Sahel Region: Coups, Jihadism, Wagner & Anti-French Sentiments

Sponsor(s): Africa Initiative
Thursday, November 16, 2023
11:30 am - 1:00 pm
Old Chemistry 116
Leif Brottem (Grinnell College), Marc-Antoine Pérouse de Montclos (IRD, Paris), Alioune Sow (University of Florida), Stephen Smith (Duke)
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On low-dimensional structure in transport and inference

Sponsor(s): Statistical Science
Friday, November 17, 2023
3:30 pm - 4:30 pm
Old Chemistry 116
Youssef Marzouk, Professor, MIT
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BET and BELIEF

Sponsor(s): Statistical Science
Friday, December 01, 2023
3:30 pm - 4:30 pm
Old Chemistry 116
Kai Zhang, Associate Professor, UNC
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Model selection over partially ordered sets

Sponsor(s): Statistical Science
Friday, December 08, 2023
3:30 pm - 4:30 pm
Old Chemistry 116
Armeen Taeb, Assistant Professor, University of Washington
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Video Imputation and Prediction Methods with Applications in Space Weather

Sponsor(s): Statistical Science
Friday, January 12, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Yang Chen, Assistant Professor, University of Michigan
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Probabilistic methods for designing functional protein structures

Sponsor(s): Statistical Science
Friday, January 19, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Brian Trippe, Columbia University
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Bridged Posterior: Optimization, Profile Likelihood and a New Approach of Generalized Bayes

Sponsor(s): Statistical Science
Monday, January 22, 2024
11:45 am - 12:45 pm
Old Chemistry 116
Leo Duan, Assistant Professor, University of Florida
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An Exact Sampler for Inference after Polyhedral Selection

Sponsor(s): Statistical Science
Friday, January 26, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Sifan Liu, Stanford University
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CANCELLED:Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects

Sponsor(s): Statistical Science
Monday, January 29, 2024
11:45 am - 12:45 pm
Old Chemistry 116
Satarupa Bhattacharjee, Pennsylvania State
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The Many Facets of Monte Carlo Methods: From Sampling Algorithms to Unbiased Estimators

Sponsor(s): Statistical Science
Friday, February 02, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Guanyang Wang, Assistant Professor, Rutgers University
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Inference for machine learning under dependence

Sponsor(s): Statistical Science
Monday, February 05, 2024
11:45 am - 12:45 pm
Old Chemistry 116
Arkajyoti Saha, University of Washington
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A Day in the Life: JMP R&D

Sponsor(s): Statistical Science
Wednesday, February 07, 2024
3:05 pm - 4:20 pm
Old Chemistry 116
Dr. Ryan Lekivetz, Senior Manager, Advanced Analytics R&D, JMP
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Debiasing in the inconsistency regime

Sponsor(s): Statistical Science
Friday, February 09, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Michael Celentano, University of California, Berkeley
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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
Old Chemistry 116
Huiyan Sang Professor of Statistics Texas A&M University
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InfiAgent: A Multi-Tool Agent for AI Operating Systems

Sponsor(s): Statistical Science
Wednesday, February 28, 2024
3:05 pm - 4:20 pm
Old Chemistry 116
Dr. Hongxia Yang, Head of Large Models, ByteDance US
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Leveraging Visual Cognition in Data Visualization

Sponsor(s): Statistical Science
Friday, March 01, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Danielle Szafir, Assistant Professor of Computer Science at the University of North Carolina-Chapel Hill
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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
Old Chemistry 116
Linxi Liu, Assistant Professor, University of Pittsburgh
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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
Old Chemistry 116
Ying Hung, Professor, Rutgers University
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Advances in Adversarial Risk Analysis

Sponsor(s): Statistical Science
Friday, April 05, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Fabrizio Ruggeri, CNR IMATI, Milano, Italy
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Quantum Markov chain Monte Carlo(s)

Sponsor(s): Statistical Science
Friday, April 12, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Andrew Holbrook, Assistant Professor, UCLA
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Sparse topic modeling via spectral decomposition and thresholding

Sponsor(s): Statistical Science
Friday, April 19, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Claire Donnat, Department of Statistics, University of Chicago
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Utilizing Network Structure to Flexibly Model Areal Data

Sponsor(s): Statistical Science
Friday, June 07, 2024
10:00 am - 12:00 pm
Old Chemistry 116
Michael Christensen
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Graphical and Isoperimetric Perspectives in Sampling and Regularization

Sponsor(s): Statistical Science
Thursday, July 11, 2024
11:00 am - 1:00 pm
Old Chemistry 116
Ed Tam
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Ensembling and Coordination Methods for Sequential Decision Making Under Uncertainty

Sponsor(s): Statistical Science
Tuesday, July 16, 2024
10:00 am - 12:00 pm
Old Chemistry 116
Joseph Lawson
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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
Old Chemistry 116
Mike West, The Arts & Sciences Distinguished Professor (Emeritus Fall 2024) of Statistics & Decision Sciences, Duke University
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German Studies Fall 2024 Teacher & Student Mixer!

Sponsor(s): German Studies
Thursday, September 12, 2024
6:30 pm - 8:30 pm
Old Chemistry 116
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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
Old Chemistry 116
Alessandro Arlotto, Associate Professor of Business Administration and Mathematics. Decision Sciences, The Fuqua School of Business, Duke University
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Normatively Backwards Rubric Scoring: Evidence from NIH Peer Review

Sponsor(s): Statistical Science
Friday, September 20, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Elena Erosheva, Professor, University of Washington
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Causally Sound Priors for Binary Experiments

Sponsor(s): Statistical Science
Friday, September 27, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Carlos Cinelli, Assistant Professor, University of Washington
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The Bayesian Infinitesimal Jackknife for Variance

Sponsor(s): Statistical Science
Friday, October 04, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Ryan Giordano, Berkeley
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Phystatistics: The Rise of the Data Physicist

Sponsor(s): Statistical Science
Friday, October 18, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Benjamin Nachman, Staff Scientist, Lawrence Berkeley National Laboratory
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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
Old Chemistry 116
Nhat Ho, Assistant Professor, The University of Texas at Austin
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Two Tales of L1 Variants for Sparse Signal and Low-rank Tensor Recovery

Sponsor(s): Statistical Science
Friday, November 08, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Yifei Lou, Associate Professor, School of Data Science and Society, The University of North Carolina
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Data integration approaches to estimate heterogeneous treatment effects

Sponsor(s): Statistical Science
Friday, November 15, 2024
3:30 pm - 4:30 pm
Old Chemistry 116
Carly Brantner, Assistant Professor of Biostatistics & Bioinformatics, Duke University
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