Statistics Seminar

Seminars from previous years can be found at All Past Events by filtering for the Statistics Seminar series. An archive of abstracts from past events is available; these documents extend back to the 1999-2000 academic year.

Questions about this series may be sent to seminars [at] stat.stanford.edu (subject: Seminars%20Question) (seminars[at]stat[dot]stanford[dot]edu). You can receive a weekly announcement of seminar offerings by subscribing to our mailing list at any time!

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Upcoming Events

April
1

Title to come

  CoDa E160
  Rob Tibshirani, Stanford BDS and Statistics
April
8

How to tell the difference between machine learning and (bio)statistics

  CoDa E160
  Mike Baiocchi, Stanford SoM and Statistics
,
  Jordan Rodu, University of Virginia
April
15

Title to come

  CoDa E160
  Subhro Ghosh, National University of Singapore
April
16

Title to come

  UC Berkeley
  Brian Trippe, Stanford Statistics
April
22

Title to come

  CoDa E160
  Kaizheng Wang, Columbia
April
29

Title to come

  CoDa E160
  Adam Kalai, OpenAI
May
6

Title to come

  CoDa E160
  Sam Pimentel, UC Berkeley
May
13

Title to come

  CoDa E160
  Anderson Zhang, University of Pennsylvania
May
20

Title to come

  CoDa E160
  David Ritzwoller, Stanford GSB

Past Events

Learning from missing and imperfect information

  Tuesday, March 11, 2025, 4:30pm
  Manolis Zampetakis, Yale

Same root, different leaves: Time series and cross-sectional methods in panel data

  Tuesday, March 4, 2025, 4:30pm
  Dennis Shen, USC

Incremental effects and sensitivity analysis

  Tuesday, February 25, 2025, 4:30pm
  Edward Kennedy, CMU

The value of information in model-assisted decision-making

  Tuesday, February 18, 2025, 4:30pm
  Jessica Hullman, Northwestern

Anytime-valid inference and time-uniform central limit theory

  Tuesday, February 11, 2025, 4:30pm
  Ian Waudby-Smith, UC Berkeley

Spectral clustering in the Gaussian mixture block model

  Tuesday, February 4, 2025, 4:30pm
  Shuangping Li, Stanford Statistics

Statistical foundations of trustworthy AI engineering

  Tuesday, January 28, 2025, 4:30pm
  Anastasios Angelopoulos, UC Berkeley

Algorithmic thresholds in random optimization problems

  Tuesday, January 21, 2025, 4:30pm
  Brice Huang, MIT

Powerful and valid subgroup selection via machine learning

  Tuesday, January 14, 2025, 4:30pm
  Lucas Janson, Harvard University

AI-assisted approaches to data collection and inference

  Tuesday, January 7, 2025, 4:30pm
  Tijana Zrnic, Stanford Statistics