Bi-Weekly Seminar Series

Seminars are bi-weekly, on Thursdays at 12pm ET (more time zones) and last 90 minutes.

To receive announcements of upcoming seminars, join our mailing list or subscribe to our YouTube. To participate in Zoom, locate the registration link below (posted a few days before the seminar). If you are interested in giving a talk, contact trustworthyml@gmail.com.

FORMAT and instructions

The seminars will take place in Zoom Webinar; some may be recorded and live-streamed to YouTube.

The first hour typically follows one of these formats:

  • 40-min talk, followed by 20-min Q&A and moderated chat on the speaker's journey in ML and research process.

  • Rising Star Spotlights: Two talks of 20-25 mins each, followed by 5-10 min Q&A.

Then after a 5-min break, we reconvene for discussions with fellow participants. Our hope is that this participant-driven discussion in the second hour allows participants to meet new people working in similar research areas. Each seminar will also have a Twitter thread to continue the conversation.

By participating in the seminar, you agree to abide by the Code of Conduct. Please report any issues to trustworthyml@gmail.com.

Joining Zoom: There is a limit of 100 participants in Zoom, first-come-first-serve; registering does not guarantee you a spot. You can join Zoom by clicking the link in your registration confirmation email shortly before the seminar starts. We recommend downloading and installing Zoom in advance.

Live-stream and recording: If Zoom reaches capacity, please watch the YouTube live-stream and check Zoom again in case spots open up. If you do not wish to appear in the live-stream and recording, please only join Zoom in the second hour. You can find recordings of previous seminars here.

Participate: In Zoom, you will be muted in the first hour however you can ask questions using Zoom's Q&A tool. You can also upvote and leave comments on questions. The moderator will select questions, and may call on you to ask yours. In the second hour, you will be un-muted for a free-form discussion with fellow participants. You can use the Twitter thread to continue the conversation after the seminar.

UPCOMING SEMINARS

Click to see abstract, bio, registration link, and Twitter thread. Click here to see the recordings of the past seminars.

Jan 21, 2021: Zachary Lipton, Carnegie Mellon University

Prediction and Data-Driven Decision-Making in Real World Environments.

Abstract: Most machine learning methodology is developed to address prediction problems under restrictive assumptions and applied to drive decisions in environments where those assumptions are violated. This disconnect between our methodological frameworks and their application has caused confusion both among researchers (who often lack the right formalism to tackle these problems coherently) and practitioners (who have developed a folks tradition of ad hoc practices for deploying and monitoring systems). In this talk I'll discuss some of the critical disconnects plaguing the application of machine learning and our fledgling efforts to bridge some of these gaps.

Bio: Zachary Chase Lipton is the BP Junior Chair Assistant Professor of Operations Research and Machine Learning at Carnegie Mellon University and a Visiting Scientist at Amazon AI. His research spans core machine learning methods and their social impact and addresses diverse application areas, including clinical medicine and natural language processing. Current research focuses include robustness under distribution shift, breast cancer screening, the effective and equitable allocation of organs, and the intersection of causal thinking and the messy high-dimensional data that characterizes modern deep learning applications. He is the founder of the Approximately Correct blog (approximatelycorrect.com) and a co-author of Dive Into Deep Learning, an interactive open-source book drafted entirely through Jupyter notebooks. Find on Twitter (@zacharylipton) or GitHub (@zackchase).

Zoom registration: https://us02web.zoom.us/webinar/register/WN_HCip_6VzQSOucLtL97Crng

YouTube live-stream and recording: https://youtu.be/fvL6MSzsQ6Q

Twitter thread to continue the conversation: Check back again after the seminar/

Feb 4, 2021: Steven Wu, Carnegie Mellon University

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

Feb 18, 2021: Celia Cintas, IBM Research Africa

A tale of adversarial attacks & out-of-distribution detection stories

Abstract: Most deep learning models assume ideal conditions and rely on the assumption that test/production data comes from the in-distribution samples from the training data. However, this assumption is not satisfied in most real-world applications. Test data could differ from the training data either due to adversarial perturbations, new classes, noise, or other distribution changes. These shifts in the input data can lead to classifying unknown types, classes that do not appear during training, as known with high confidence. On the other hand, adversarial perturbations in the input data can cause a sample to be incorrectly classified. We will discuss approaches based on group-based and individual subset scanning methods from the anomalous pattern detection domain and how they can be applied over off-the-shelf DL models.

Bio: Celia Cintas is a Research Scientist at IBM Research Africa - Nairobi, Kenya. She is a member of the AI Science team at the Kenya Lab. Her current research focuses on the improvement of ML techniques to address challenges on Global Health in developing countries and exploring subset scanning for anomaly detection under generative models.

Previously, grantee from National Scientific and Technical Research Council (CONICET) working on Deep Learning and Geometrics Morphometrics for populations studies at LCI-UNS and IPCSH-CONICET (Argentina) as part of the Consortium for Analysis of the Diversity and Evolution of Latin America (CANDELA). During her PhD, she was a visiting student at the University College of London (UK). She was also a Postdoc researcher visitor at Jaén University (Spain) applying ML to Heritage and Archeological studies.

She holds a Ph.D. in Computer Science from Universidad del Sur (Argentina). Co-chair of several Scipy Latinamerica conferences and happy member of LinuxChix Argentina. Financial Aid Co-Chair for the SciPy (USA) Committee (2016-2019) and Diversity Co-Chair for SciPy 2020.

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

Mar 4, 2021 Rising Star Spotlights

Shibani Shanturkar, MIT

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

Mar 18, 2021: Katherine Heller, Google / Duke University

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

Apr 1, 2021: Gautam Kamath, University of Waterloo

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

Apr 15, 2021: Suresh Venkatasubramanian, University of Utah

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

Apr 29, 2021 Rising Star Spotlights

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

May 13, 2021: Alexander D'Amour, Google Brain

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

May 27, 2021: Hoda Heidari, Carnegie Mellon University

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

June 24, 2021 Rising Star Spotlights

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

July 8, 2021: Cynthia Rudin, Duke University

Title TBA

Abstract TBA

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YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

August 19, 2021 Rising Star Spotlights

Title TBA

Abstract TBA

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YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

Sep 16, 2021: Sherri Rose, Stanford University

Identifying Subgroups in Algorithmic Fairness

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

Sep 30, 2021: Sanmi Koyejo, University of Illinois at Urbana-Champaign

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.

Oct 14, 2021 Rising Star Spotlights

Title TBA

Abstract TBA

Zoom registration: Check back again a few days before the seminar.

YouTube live-stream and recording: Check back again a few days before the seminar.

Twitter thread to continue the conversation: Check back again after the seminar.