Past Events

2023

Angzhi Fan, PhD Student

Student Seminar: Angzhi Fan

1:00–2:30 pm Jones 304

Dissertation Proposal Presentation
ANGZHI FAN, Department of Statistics, The University of Chicago
“Applications of Generative Models in Deep Learning”

Feb 24
Antonio (Tuca) Auffinger

CAM Colloquium: Antonio (Tuca) Auffinger

4:00–5:00 pm Jones 303

ANTONIO (TUCA) AUFFINGER, Department of Mathematics, Northwestern University
“Dimension Reduction Methods for Data Visualization”

Feb 23
Armin Karbasi

DSI Events: Amin Karbasi

2:00–3:00 pm JCL 390

AMIN KARBASI, Yale School of Engineering and Applied Science
“Statistical Limits of Interactive Learning”

Feb 23

CAM and Stats Student Seminar: Erasmo Tani

12:30–1:30 pm Jones 303

ERASMO TANI, Department of Computer Science, University of Chicago
“Active Learning of Partitions via Same-Cluster Oracle”

Feb 21
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