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Algorithmic Advances for Statistical Inference with Combinatorial Structure
Program
Computational Complexity of Statistical Inference
Date
Monday, Oct. 11
–
Friday, Oct. 15, 2021
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The Workshop
Schedule
Videos
Monday, Oct. 11, 2021
8:30
–
8:50 a.m.
Coffee & Check-In
8:50
–
9 a.m.
Opening Remarks
9
–
9:45 a.m.
Random Combinatorial Matrices
Amin Coja-Oghlan (Goethe University)
9:45
–
10:15 a.m.
Break
10:15
–
11 a.m.
Correlated Stochastic Block Models: Graph Matching And Community Recovery
Miklos Racz (Princeton University)
11 a.m.
–
2 p.m.
Lunch
2
–
2:45 p.m.
Statistical Estimation from Dependent Data
Constantinos Daskalakis (MIT)
2:45
–
3:15 p.m.
Break
3:15
–
4 p.m.
Tractability And Overparametrization In Some Simple Models
Andrea Montanari (Stanford University)
4
–
5 p.m.
Reception
Tuesday, Oct. 12, 2021
9
–
9:45 a.m.
How Close To Optimal Sample Complexity Does Gradient Descent Get In Phase Retrieval?
Lenka Zdeborová (École polytechnique fédérale de Lausanne)
9:45
–
10:15 a.m.
Break
10:15
–
11 a.m.
Causal Matrix Estimation
Devavrat Shah (MIT)
11 a.m.
–
2 p.m.
Lunch
2
–
2:45 p.m.
Differential Privacy Meets Robust Statistics
Sewoong Oh (University of Washington, Seattle)
2:45
–
3:15 p.m.
Break
3:15
–
4 p.m.
Exact Minimax Estimation for Phase Synchronization
Chao Gao (University of Chicago)
Wednesday, Oct. 13, 2021
9
–
9:45 a.m.
A Curious Case Of Symmetric Binary Perceptron Model: Algorithms And Barriers
David Gamarnik (MIT)
9:45
–
10:15 a.m.
Break
10:15
–
11 a.m.
Metric Representations: Algorithms and Geometry
Anna Gilbert (Yale University)
11 a.m.
–
2 p.m.
Lunch
2
–
2:45 p.m.
Approximate Message Passing Algorithms For Orthogonally Invariant Models
Zhou Fan (Yale University)
2:45
–
3:15 p.m.
Break
3:15
–
4 p.m.
Learning Minimax Estimators Via Online Learning
Pradeep Ravikumar (Carnegie Mellon University)
Thursday, Oct. 14, 2021
9
–
9:45 a.m.
New Algorithms For The Graph Alignment Problem
Marc Lelarge (Inria)
9:45
–
10:15 a.m.
Break
10:15
–
11 a.m.
Structures Of Local Minima In K-Means And Mixture Models
Yudong Chen (Cornell University)
11 a.m.
–
2 p.m.
Lunch
2
–
2:45 p.m.
Tensor Graphical Models For Complex And High Dimensional Data
Shuheng Zhou (UC Riverside)
2:45
–
3:15 p.m.
Break
3:15
–
4 p.m.
Uncertainty Quantification In The Bradley-Terry-Luce Model
Anderson Ye Zhang (The Wharton School, University of Pennsylvania)
Friday, Oct. 15, 2021
9
–
9:45 a.m.
Novel Approaches For Network Data Modelling And Analysis
Sofia Olhede (École polytechnique fédérale de Lausanne)
9:45
–
10:15 a.m.
Break
10:15
–
11 a.m.
Deep Generative Models And Unsupervised Methods For Inverse Problems
Alex Dimakis (University of Texas at Austin)
11 a.m.
–
2 p.m.
Lunch
2
–
2:45 p.m.
Exact Matching Of Random Graphs With Constant Correlation
Cheng Mao (Georgia Tech)
2:45
–
3:15 p.m.
Break
3:15
–
4 p.m.
Estimation Beyond the IID Setting: Two Vignettes
Gregory Valiant (Stanford University)
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