Past Events

2023

YoonHaeng Hur, PhD Student

Student Seminar: YoonHaeng Hur

1:00–2:00 pm Jones 111

Dissertation Proposal Presentation
YOONHAENG HUR, Department of Statistics, The University of Chicago
“Infinite-dimensional inference and learning via optimal transport”

Mar 8
Saadia Gabriel

DSI Events: Saadia Gabriel

2:00–3:00 pm JCL 390

SAADIA GABRIEL, Paul G. Allen School of Computer Science & Engineering, University of Washington
“Socially Responsible and Factual Reasoning for Equitable AI Systems”

Mar 7
Vasileios Katsianos, PhD Student

Student Seminar: Vasileios (Bill) Katsianos

1:30–3:00 pm Via Zoom

Dissertation Proposal Presentation
VASILEIOS (BILL) KATSIANOS, Department of Statistics, The University of Chicago
“Association Analysis of Phenotypes Jointly Influenced by a Pair of Organisms”

Mar 7
Aldo Pacchiano

Statistics Colloquium: Aldo Pacchiano

4:30–5:30 pm Jones 303

ALDO PACCHIANO, Postdoctoral Researcher, Microsoft Research NYC
“Learning Systems in Adaptive Environments. Theory, Algorithms and Design”

Mar 6
Kristy Choi

Statistics Colloquium: Kristy Choi

2:00–3:00 pm Jones 303

KRISTY CHOI, Department of Computer Science, Stanford University
“Harnessing Computational Creativity with Controllable Generation”

Mar 2
Jake Soloff

CAM and Stats Student Seminar: Jake A. Soloff

12:30–1:30 pm Jones 303

JAKE A. SOLOFF, Department of Statistics, University of Chicago
“Principal-Agent Hypothesis Testing”

Feb 28
Frederic Koehler

Statistics Colloquium: Frederic Koehler

4:30–5:30 pm Jones 303

FREDERIC KOEHLER, Department of Computer Science, Stanford University
“Towards the Statistically Principled Design of ML Algorithms”

Feb 27
Tian Li

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”

Feb 27
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