BLISS Seminar

About

The BLISS seminar is the area seminar of the Berkeley Laboratory for Information and System Sciences. Talks at the seminar cover topics including but not limited to information and coding theory, signal processing, optimization, statistics, and control. The list of talks for the current semester can be found below, and past seminars from 2016 onwards are listed here. For an archive of all talks from 1996-2015, visit the old webpage.

Fall 2024
Regular seminar time: Fridays 1 PM - 2 PM PT
Regular seminar venue: Hughes Room, 400 Cory Hall, Berkeley subscribe to our mailing list for more details.

To give a talk at the seminar, contact Mert Cemri or Tom Courtade.

Fall 2024 Schedule

Recordings of the talks are available here.

Dates marked in bold indicate that talks are at non-regular dates / times.

Oct 11 Sandeep Pradhan (University of Michigan) Quantum Bayesian Framework for Efficient Storage of Quantum Information details
Oct 24 (Cory 400, 1pm-2pm) Minghua Chen (City University of Hong Kong) Machine Learning for Real-Time Constrained Optimization: The Case of Optimal Power Flow and Beyond details
Oct 25 Varun Jog (University of Cambridge) Old problems, new perspectives: A fresh look at classical hypothesis testing details
Nov 1 Yusu Wang (UC San Diego) Size (OOD) generalization of neural models via Algorithmic alignment details
Nov 8 Ramya Vinayak (UW-Madison) Towards Pluralistic Alignment: Foundations for Learning Diverse Human Preferences details
Nov 15 Han Zhao (UIUC) Revisiting Scalarization in Multi-Task Learning details