Program Booklet

Name: IFDS Annual Meeting
Start: 2023-08-01T00:00:00-05:00
End: 2023-08-02T23:59:59-05:00
Location: Orchard View Room

August 1

IFDS Annual Meeting

Start	End	Speaker	Title/Activity
9:30	9:45		Welcome and Introduction
Faculty 30 Minute Talks
9:45	10:15	Ilias Diakonikolas	Provably learning neural networks
10:15	10:45	Qin Li	NN-training and ODE-constrained optimization
10:45	11:00		Break
11:00	11:30	Kevin Jamieson	Towards Instance-Optimal Algorithms for Reinforcement Learning
11:30	12:00	Sebastien Roch	Inverting random trees
12:00	1:45		Lunch
1:45	2:15	Ramya Vinayak	Learning from Diverse Data in Metric and Preference Learning
2:15	2:45	Rina Foygel-Barber
2:45	3:00		Break
3:00	3:30	Ludwig Schmidt	DataComp: In search of the next generation of multimodal datasets
3:30	4:00		Break
4:00	6:00		Poster Session

Start	End	Speaker	Title/Activity
Faculty 30 Minute Talks
9:00	9:30	Rebecca Willett	Mathematical foundations of machine learning
9:30	10:00	Abel Rodriguez	Sparsity and model selection:a unified perspective
10:00	10:15		Break
10:15	10:45	Lise Getoor	Foundations for Neuro-Symbolic Systems
10:45	11:15	Dmitriy Drusvyatskiy	Aiming towards minimizers: fast convergence of SGD for overparameterized problems
11:15	11:30		Break
11:30	1:30		Lunch
Postdoc 15 Minute Talks
1:30	1:45	Ahmet Alacaoglu	Improving the complexity of primal-dual coordinate algorithms
1:45	2:00	Jeongyeol Kwon	RL in latent environments via moment-exploration
2:00	2:15		Break
2:15	2:30	Lijun Ding	Flat minima generalize for low-rank matrix recovery
2:30	2:45	Jake Soloff	Bagging provides assumption-free stability
2:45	3:00		Break
3:00	3:15	David Clancy	Reconstructing mutation rates on binary trees
3:15	3:30	Jasper Lee	Beyond Worst-Case Optimality in Mean Estimation
3:30	3:45		Break
3:45	4:00	Steve Mussmann	Exploratory set cover for data subset selection
4:00	4:15	Ruhui Jin	Optimal experimental design via gradient flow
4:15	4:30		Break
4:30	5:30	Steve, Becca, Lise, Maryam	Panel Discussion