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Meet the Fellows Welcome Event Fall 2022
Location
Calvin Lab Auditorium
Date
Thursday, Sept. 8
–
Friday, Sept. 9, 2022
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Workshop & Symposia
Meet the Fellows Welcome Event Fall 2022
Secondary tabs
The Workshop
Schedule
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Videos
Thursday, Sept. 8, 2022
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
Friday, Sept. 9, 2022
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)
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