Student Seminar: Xinyi Gu
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation
XINYI GU, Department of Statistics, The University of Chicago
“Non-Contrastive Self-Supervised Learning with Video Frames”
Student Seminar: Seung Chul Lee
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
SEUNG CHUL LEE, Department of Statistics, The University of Chicago
“Understanding Shift-Share Instruments: an Application”
Student Seminar: Kwong Wai (Theo) Man
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
KWONG WAI (THEO) MAN, Department of Statistics, The University of Chicago
“Modeling Subject-level Variances on Intensive Longitudinal Data: An Application of Mixed-effects Location Scale Model”
Student Seminar: Ruizheng (Patrick) Bai
2:00–2:30 pm Jones 303
Master’s Thesis Presentation
RUIZHENG (PATRICK) BAI, Department of Statistics, The University of Chicago
“Functional Principal Trade-off Analysis: Universal Approximation via Disc Game Embedding”
Statistics Colloquium: Matthias Katzfuss
4:30–5:30 pm Jones 303
MATTHIAS KATZFUSS, Department of Statistics, Texas A&M University
“Scalable Gaussian-Process Inference via Sparse Inverse Cholesky Factorization”
DSI Events: Ari Holtzman
2:00–3:00 pm JCL 390
ARI HOLTZMAN, Department of Computer Science, University of Washington
“Controlling Large Language Models: Generating (Useful) Text from Models We Don’t Fully Understand”
Statistics Colloquium: Gemma Moran
4:30–5:30 pm Jones 303
GEMMA MORAN, Data Science Institute, Columbia University
“Identifiable deep generative models via sparse decoding”
Student Seminar: Jake Singleton
10:00–10:30 am Jones 111
Master’s Thesis Presentation
JAKE SINGLETON, Department of Statistics, The University of Chicagoi
“Bayesian Bradley-Terry Models Infer Tennis Player Skills and Predict Tennis Match Results”
Student Seminar: Sowon Jeong
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
SOWON JEONG, Department of Statistics, The University of Chicago
“Understanding Graph Neural Network as a Dimension Reduction Technique”
Student Seminar: Ilgee Hong
1:00–1:30 pm Via Zoom
Master’s Thesis Presentation
ILGEE HONG, Department of Statistics, The University of Chicago
“Contrastive Learning for Node Representations: A Study of Alignment vs Uniformity”
Student Seminar: Taewan Kim
3:00–3:30 pm Via Zoom
Master’s Thesis Presentation
TAEWAN KIM, Department of Statistics, The University of Chicago
“Understanding the Transcriptional Regulation with 3D Genomic Structure”
Student Seminar: JungHo Lee
3:30–4:00 pm Via Zoom
Master’s Thesis Presentation
JUNGHO LEE, Department of Statistics, The University of Chicago
“TBA”
DSI Events: Mina Lee
3:00–4:00 pm JCL 390
MINA LEE, Department of Computer Science, Stanford University
“Designing and Evaluating Language Models for Human Interaction”
Statistics Colloquium: Chao Ma
4:30–5:30 pm
CHAO MA, Department of Mathematics, Stanford University
“Implicit bias of optimization algorithms and generalization of over-parameterized neural networks”
DSI Events: Amin Karbasi
2:00–3:00 pm JCL 390
AMIN KARBASI, Yale School of Engineering and Applied Science
“TBA”
CAM Colloquium: Antonio (Tuca) Auffinger
4:00–5:00 pm Jones 303
ANTONIO (TUCA) AUFFINGER, Department of Mathematics, Northwestern University
“TBA”
Student Seminar: Angzhi Fan
1:00–2:30 pm Jones 304
Dissertation Proposal Presentation
ANGZHI FAN, Department of Statistics, The University of Chicago
“TBA”
DSI Events: Tian Li
3:00–4:00 pm JCL 390
TIAN LI, Department of Computer Science, Carnegie Mellon University
“Scalable and Trustworthy Learning in Heterogeneous Networks”
Statistics Colloquium: Frederic Koehler
4:30–5:30 pm Jones 303
FREDERIC KOEHLER, Department of Computer Science, Stanford University
“TBA”
Statistics Colloquium: Kristy Choi
4:30–5:30 pm Jones 303
KRISTY CHOI, Department of Computer Science, Stanford University
“TBA”
Statistics Colloquium: Aldo Pacchiano
4:30–5:30 pm Jones 303
ALDO PACCHIANO, Postdoctoral Researcher, Microsoft Research NYC
“TBA”
Statistics Colloquium: Art Owen
4:30–5:30 pm Jones 303
ART OWEN, Department of Statistics, Stanford University
“Tie-breaker Designs”
CAM Colloquium: Peter Šemrl
4:00–5:00 pm Jones 303
PETER ŠEMRL, Institute of Mathematics, Physics and Mechanics, University of Ljubljana
“TBA”
Statistics Colloquium: Yuting Wei
4:30–5:30 pm Jones 303
YUTING WEI, Department of Statistics and Data Science, The Wharton School, University of Pennsylvania
“A Non-asymptotic Framework for Approximate Message Passing Algorithm”
Statistics Colloquium: Molly Offer-Westort
4:30–5:30 pm Jones 303
MOLLY OFFER-WESTORT, Department of Political Science, University of Chicago
“TBA”
Statistics Colloquium: Lars Peter Hansen
4:30–5:30 pm Jones 303
LARS PETER HANSEN, Departments of Statistics and Economics; University of Chicago Booth School of Business
“TBA”
CAM Colloquium: Kui Ren
4:00–5:00 pm Jones 303
KUI REN, Department of Applied Physics & Applied Mathematics, Columbia University
“TBA”
Statistics Colloquium: Ruodu Wang
4:30–5:30 pm Jones 303
RUODU WANG, Department of Statistics and Actuarial Science, University of Waterloo
“TBA”
CAM Colloquium: Lexing Ying
4:00–5:00 pm Jones 303
LEXING YING, Department of Mathematics and Institute for Computational and Mathematical Engineering, Stanford University
“TBA”
Statistics Colloquium: Xihong Lin
4:30–5:30 pm Jones 303
XIHONG LIN, Department of Biostatistics, Harvard University
“Ensemble methods for testing a global null with applications to whole genome sequencing studies”
Statistics Colloquium: Sara van de Geer
4:30–5:30 pm Jones 303
BAHADUR MEMORIAL LECTURES
Lecture 22
SARA VAN DE GEER, Department of Mathematics, ETH Zürich
“TBA”
Statistics Colloquium: Sara van de Geer
Time TBA TBA
BAHADUR MEMORIAL LECTURES
Lecture 22
SARA VAN DE GEER, Department of Mathematics, Seminar für Statistik (SfS), ETH Zürich
“TBA”
Statistics Colloquium: Johannes Schimidt-Hieber
4:30–5:30 pm Jones 303
JOHANNES SCHMIDT-HIEBER, Department of Statistics, University of Twente
“TBA”
Statistics Colloquium: Peng Ding
4:30–5:30 pm Jones 303
PENG DING, Department of Statistics, University of California Berkeley
“Interpretable sensitivity analysis for the Baron–Kenny approach to mediation with unmeasured confounding”
CAM Colloquium: Chi-Kwong Li
4:00–5:00 pm Jones 303
CHI-KWONG LI, Department of Mathematics, College of William and Mary
“TBA”
Statistics Colloquium: Russell Lyons
4:30–5:30 pm Kent 120
BILLINGSLEY LECTURES ON PROBABILITY
RUSSELL LYONS, Department of Mathematics, Indiana University
“TBA”