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Foundations of Information, Networks, and Decision Systems

FIND Seminar

The FIND Seminar is a bi-weekly seminar series that hosts cutting-edge research talks on topics related to the broad themes of Foundations of Information, Networks and Decision Systems. Talks are about 50 minutes long with time for questions and discussion.

Location: Rhodes Hall 310 and Zoom
Time: 4:15PM ET, bi-weekly on (alternating) Thursdays

Delivery format: All talks will have a live audience in Rhodes Hall 310. Until circumstances allow otherwise, external speakers will give the talk remotely via Zoom (broadcasted in RH310). Remote audience is also welcome, but in-person participation is encouraged.

Mailing list: To subscribe to the FIND seminar mailing list, email find-seminar-l-request@cornell.edu, with “join” in the subject line and a blank email body. All talks info and reminders will be sent via the mailing list.

Upcoming Talk
Title: Autonomous Design in Piecewise-Stationary Environments
Speaker: Subhonmesh Bose
Date and Time: 03/13/2025, 4:15PM ET
Location: Rhodes Hall 310 and Zoom

Abstract:

Key to autonomous design is the ability to control a system in dynamic non-stationary environments. While off-the-shelf models may not be available for these environments, it is vitally important to build models on the fly in a way where models can be compared, and learned controllers in environments can be repurposed to warm-start reinforcement learning algorithms in similar environments. In this talk, we will present a framework for autonomous design in piecewise-stationary environments, offer simulation results, and identify key theoretical analysis required to study the computational considerations for said design. Specifically, we will present two sets of theoretical results that define key elements of this design. Namely, they are characterization of computational complexity of sparse model learning in reproducing kernel Hilbert spaces and an analysis of change detection in transition kernels of Markov decision processes.

Schedule for Spring 2025: 

A list of previous talks can be found here.