Fall 2024 Mentorship Workshop

In Fall 2024, we will organize a mentorship workshop centered on diversity in approaches to learning theory research for Masters/senior undergraduate students, PhD students, and Postdocs interested in Learning Theory and adjacent fields. Sponsored in part by FODSI!

The event will take place virtually (on gather.town) on November 13-14, 2024.

Register by filling out this short form.

Speakers: Shipra Agrawal, Kamalika Chaudhuri, Nicolas Flammarion, Tor Lattimore, Gergely Neu, Ariel Procaccia, Aaron Roth, Jonathan Scarlett, Tselil Schramm, Aaron Sidford, Christina Lee Yu, Angela Zhou.

Mentors: TBD.

Volunteers: TBD.

There will be two sessions, Session 1 from 8.45-13.30 ET, and Session 2 from 20.15-01.00 ET. Both sessions start on November 13 according to ET and will cover the same topics. Please find the full schedule below.

Mentorship Workshop

Event Schedule

Welcome Remarks.

Venue: Seminar Room (gather.town)

Nicolas Flammarion
Christina Lee Yu

Discussion 1: Different types of learning theory research. Nicolas Flammarion, Christina Lee Yu

Venue: Seminar Room (gather.town)

Example topics: modeling, algorithmic and analytical contributions; connecting theory to practice.

Break.

Venue: Lounge (gather.town)

Shipra Agrawal
Gergely Neu

Discussion 2: "Fast" and "slow" approaches to research. Shipra Agrawal, Gergely Neu

Venue: Seminar Room (gather.town)

Example topics: impact from single vs. multiple papers, differences between conference and journal submission.

Break.

Venue: Lounge (gather.town)

Tor Lattimore
Aaron Roth

Discussion 3: Individual and collaborative approaches to research. Tor Lattimore, Aaron Roth

Venue: Seminar room (gather.town)

Example topics: deciding when to collaborate, working individually.

Mentoring Tables.

Venue: Lounge (gather.town)

This session is intended to be free time to socialize with members of the community as well as other participants. There will be tables where a mentor would be available to seek advice and answer your questions!

Social Hour.

Venue: Lounge (gather.town)

Welcome Remarks.

Venue: Seminar Room (gather.town)

Ariel Procaccia
Tselil Schramm

Discussion 1: Different types of learning theory research. Ariel Procaccia, Tselil Schramm

Venue: Seminar Room (gather.town)

Example topics: modeling, algorithmic and analytical contributions; connecting theory to practice.

Break.

Venue: Lounge (gather.town)

Kamalika Chaudhuri
Angela Zhou

Discussion 2: "Fast" and "slow" approaches to research. Kamalika Chaudhuri, Angela Zhou

Venue: Seminar room (gather.town)

Example topics: impact from single vs. multiple papers, differences between conference and journal submission..

Break.

Venue: Lounge (gather.town)

Jonathan Scarlett
Aaron Sidford

Discussion 3: Individual and collaborative approaches to research. Jonathan Scarlett, Aaron Sidford

Venue: Seminar Room (gather.town)

Example topics: deciding when to collaborate, working individually.

Mentoring Tables.

Venue: Lounge (gather.town)

This session is intended to be free time to socialize with members of the community as well as other participants. There will be tables where a mentor would be available to seek advice and answer your questions!

Social Hour.

Venue: Lounge (gather.town)

Team

Organizers

Ciara Pike-Burke

Lecturer in Statistics, Imperial College London Department of Mathematics

Thodoris Lykouris

Assistant Professor, MIT Sloan

Tijana Zrnic

Ram and Vijay Shriram Postdoctoral Fellow, Stanford Statistics

Vidya Muthukumar

Assistant Professor, ECE and ISyE, Georgia Tech