2023
Statistics Colloquium: Russell Lyons
4:30–5:30 pm Math/Stat 112
BILLINGSLEY LECTURES ON PROBABILITY
RUSSELL LYONS, Department of Mathematics, Indiana University
“Voronoi Tessellations without Nuclei”
CAM Colloquium: Chi-Kwong Li
3:00–4:00 pm Jones 303
CHI-KWONG LI, Department of Mathematics, College of William and Mary & Institute for Quantum Computing, University of Waterloo
“Some Recent Results in Quantum Tomography”
Student Seminar: Irina Cristali
2:30–4:00 pm Jones 304
Dissertation Proposal Presentation
IRINA CRISTALI, Department of Statistics, The University of Chicago
“Two Applications of Machine Learning: Causally Estimating Peer Influence on Networks and Learning Concepts from Text and Images”
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: Rachel Ward
4:00–5:00 pm Jones 303
Joint Colloquium with The Data Science Institute
RACHEL WARD, Oden Institute for Computational Engineering & Sciences, Department of Mathematics, The University of Texas at Austin
“Gradient Descent for Low-Rank Matrix Factorization”
CAM PhD Dissertation Defense: Solomon Quinn
3:00–4:00 pm Jones 303
CAM PhD Dissertation Defense
SOLOMON QUINN, Computational and Applied Mathematics, University of Chicago
“Asymmetric Transport in Continuous Topological Insulators”
Statistics Colloquium: Johannes Schmidt-Hieber
4:30–5:30 pm Jones 303
JOHANNES SCHMIDT-HIEBER, Department of Statistics, University of Twente
“Statistical learning in biological neural networks”
CAM and Stats Student Seminar: Melissa Adrian
12:30–1:30 pm Jones 226
MELISSA ADRIAN, Department of Statistics, The University of Chicago
“Data Assimilation in Data-Driven Weather Forecasting: Pairing FourCastNet with the Auto-Differentiable Ensemble Kalman Filter”
CAM & DSI Joint Colloquium: Amit Singer
3:00–4:00 pm Jones 303
Joint Colloquium with The Data Science Institute
AMIT SINGER, Department of Mathematics, Program in Applied and Computational Mathematics (PACM), & Center for Statistics and Machine Learning (CSML), Princeton University
“Method of Moments in Cryo-EM”
Statistics Colloquium: Sara van de Geer
3:30–4:30 pm Jones 303
BAHADUR MEMORIAL LECTURES
Lecture 22 (May 1st and 4th)
SARA VAN DE GEER, Department of Mathematics, Seminar für Statistik (SfS), ETH Zürich
“Small noise, no regularization”