Past Events

2023

Chao Ma

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”

Feb 20
Mina Lee

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”

Feb 20
Keisha Prowoznik

Registration for Spring 2023

Through February 24, 2023 Jones 222

Graduate registration for Spring 2023 runs from Monday, February 20th through noon, Friday, February 24th, 2023.

Feb 20
JungHo Lee, MS Student

Student Seminar: JungHo Lee

3:30–4:00 pm Via Zoom

Master’s Thesis Presentation
JUNGHO LEE, Department of Statistics, The University of Chicago
“Extending Summability to Matrices”

Feb 16
Taewan Kim, MS Student

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”

Feb 16
Gerald White, MS Student

Student Seminar: Gerald White

1:00–1:30 pm Via Zoom

Master’s Thesis Presentation
GERALD WHITE, Department of Statistics, The University of Chicago
“Exploring Denoising Autoencoder Architectures for Self-Supervised Learning”

Feb 16

Student Seminar: Sansen Wei

12:15–12:45 pm Via Zoom

Master’s Thesis Presentation
SANSEN WEI, Department of Statistics, The University of Chicago
“Structured Sparsity via the Generalized Elastic Net”

Feb 16

Student Seminar: Yunhong Wang

4:30–5:00 pm Via Zoom

Master’s Thesis Presentation
YUNHONG WANG, Department of Statistics, The University of Chicago
“Understanding the Sample Complexity of Offline Robust Reinforcement Learning With A General Uncertainty Set”

Feb 15

Student Seminar: Zilai Si

2:00–2:30 pm Jones 303

Master’s Thesis Presentation
ZILAI SI, Department of Statistics, The University of Chicago
“Path-Following in Bayesian Inference”

Feb 15
Ilgee Hong, MS Student

Student Seminar: Ilgee Hong

1:00–1:30 pm Via Zoom

Master’s Thesis Presentation
ILGEE HONG, Department of Statistics, The University of Chicago
“Simplified Framework for Contrastive Learning for Node Representations”

Feb 15