Meet the Fellows Welcome Event Fall 2022

Location

Calvin Lab Auditorium

Date

Thursday, Sept. 8 – Friday, Sept. 9, 2022

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9:30 – 9:55 a.m.

Coffee and Check-In

9:55 – 10 a.m.

Opening Remarks

10 – 10:15 a.m.

Understanding the Geometry of Graph Neural Networks

Claire Donnat (University of Chicago)

10:15 – 10:30 a.m.

Transmission Neural Networks: From Virus Spread Models to Neural Networks

Shuang Gao (McGill University)

10:30 – 10:45 a.m.

Diversity and inequality in social networks

Ana-Andreea Stoica (Columbia University/ MPI Tubingen)

10:45 – 11 a.m.

Misinformation, Persuasion, and News Media on Social Networks

Chin-Chia Hsu (Microsoft)

11 – 11:30 a.m.

Break

11:30 – 11:45 a.m.

Estimation of Games under No Regret

Niccolo Lomys (Toulouse School of Economics)

11:45 a.m. – 12 p.m.

On universal portfolios with continuous side information

Alankrita Bhatt (Simons Institute)

12 – 12:15 p.m.

Exploration for Algorithmic Fairness

Jackie Baek (MIT / NYU)

12:15 – 12:30 p.m.

Approximately Efficient Bilateral Trade

Kangning Wang (Simons Institute, UC Berkeley)

12:30 – 2 p.m.

Lunch

2 – 2:15 p.m.

The Power of Two Matrices in Spectral Algorithms

Souvik Dhara (University of California, Berkeley)

2:15 – 2:30 p.m.

Recent Trends in Minimum Cut Algorithms

Jason Li (Simons Institute)

2:30 – 2:45 p.m.

Quantum Algorithms for Hamiltonian Simulation with Unbounded Operators

Di Fang (University of California, Berkeley)

2:45 – 3 p.m.

Quantum Scientific Computation

Jin-Peng Liu (Simons Institute, Berkeley)

3 – 3:30 p.m.

Break

3:30 – 3:45 p.m.

How Robust Is the Gittins Index? A Queueing Case Study

Ziv Scully (UC Berkeley (formerly CMU)

3:45 – 4 p.m.

Incentive-Aware Machine Learning

Chara Podimata (UC Berkeley)

4 – 4:15 p.m.

Adaptive Online Learning without Prior Knowledge

Chen-Yu Wei (Simons Institute)

4:15 – 5:15 p.m.

Reception

9:30 – 10 a.m.

Coffee and Check-In

10 – 10:15 a.m.

Competititve Control

Gautam Goel (Simons Institute)

10:15 – 10:30 a.m.

Pseudorandom Generators and Small-Space Derandomization

William Hoza (Simons Institute)

10:30 – 10:45 a.m.

Taming the Sign Problem of Explicitly Antisymmetrized Neural Networks via Rough Activation Functions

Nilin Abrahamsen (UC Berkeley)

10:45 – 11 a.m.

Beyond Worst Case Analysis in ML

Emmanouil-Vasileios Vlatakis-Gkaragkounis (Simons Institute/FODSI)

11 – 11:30 a.m.

Break

11:30 – 11:45 a.m.

Algorithms Using Local Graph Features to Predict Epidemics

Yeganeh Alimohammadi (Stanford)

11:45 a.m. – 12 p.m.

Simplicity and Optimality in Algorithmic Economics

Divyarthi Mohan (Tel Aviv University)

12 – 12:15 p.m.

Machine Learning on Large-Scale Graphs

Luana Ruiz (University of Pennsylvania)