Events


We keep a short list of special events on campus or nearby relevant to machine learning here.

For the latest information about these events, click the links below or see the primary source: Tufts CS Events Webpage

Reading group: Interested research students are also invited to our machine learning reading group (we meet once a week). For details, please contact a faculty member.

Events: Spring 2020

MAR

19

Event: TRIPODS IDEAS Lab

  • 03/19
  • 9:00AM
  • TBD

Speaker: Several internal and external speakers

JAN

31

Event: Launch of the NSF-funded TRIPODS institute at Tufts

  • 01/31
  • 9:00AM
  • TBD

Speaker: Several internal and external speakers

Events: Fall 2019

NOV

19

NOV

7

Colloquium: What is your data worth? Quantifying the value of data in machine learning

  • 11/07
  • 3:00PM
  • Halligan 102

Speaker: James Zou, Stanford

Events: Spring 2019

MAR

04

Colloquium: Data Enrichment for Data Science

  • 03/04
  • 3:00PM
  • Halligan 102

Speaker: Fatemeh Nargesian, U. Toronto

FEB

07

Colloquium: Natural Language Understanding for Events and Participants in Text

  • 02/07
  • 3:00PM
  • Halligan 102

Speaker: Rachel Rudinger, Johns Hopkins

FEB

04

Colloquium: Structured Approaches to Natural Language Understanding

  • 02/04
  • 3:00PM
  • Halligan 102

Speaker: Snighda Chaturvedi, UCSC

JAN

31

Colloquium: Algorithmic Human-Robot Interaction for All People

  • 01/31
  • 3:00PM
  • Halligan 102

Speaker: Elaine Short, UT-Austin

JAN

28

Colloquium: Learning from Natural Language Supervision

  • 01/28
  • 3:00PM
  • Halligan 102

Speaker: Shashank Srivastava, CMU

Events: Fall 2018

DEC

13

Colloquium: Streaming Data Analytics

  • 12/13
  • 3:00PM
  • Halligan 102

Speaker: Erieta Liarou (Vertica)

DEC

06

Colloquium: Aurum: A Data Discovery System

  • 12/06
  • 3:00PM
  • Halligan 102

Speaker: Raul Castro Fernandez (MIT)

NOV

29

Colloquium: Reliable Decision-Support using Counterfactual models

  • 11/29
  • 3:00PM
  • Halligan 102

Speaker: Peter Schulam (Johns Hopkins)

NOV

06

Colloquium: Data Science Humanely

  • 11/06
  • 3:00PM
  • Halligan 102

Speaker: Carlos Scheidegger (University of Arizona)

OCT

26

OCT

12

OCT

11

Guest Lecture: Horseshoe Priors for Bayesian Neural Networks

  • 10/11
  • 3:00PM
  • Halligan 111A

Speaker: Soumya Ghosh (IBM Research)

OCT

04

Colloquium: Online Algorithms for Extreme Clustering and Automated Integration of Crowdsourced Feedback

  • 10/04
  • 3:00PM
  • Halligan 102

Speaker: Ari Kobren (University of Massachusetts, Amherst)

SEP

27

Colloquium: Bayesian Nonparametric Machine Learning for Discrete Random Structures

  • 09/27
  • 3:00PM
  • Halligan 102

Speaker: Diana Cai (Princeton)

SEP

06

Colloquium: Human-in-the-Loop AI for Autonomous Problem Solving (or why humans ruin the best things)

  • 09/06
  • 3:00PM
  • Halligan 102

Speaker: Kartik Talamadupula, IBM