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Joint IFML/CCSI Symposium
Program
Computational Complexity of Statistical Inference
Date
Tuesday, Nov. 2
–
Friday, Nov. 5, 2021
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Workshop & Symposia
Joint IFML/CCSI Symposium
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The Workshop
Schedule
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Videos
Tuesday, Nov. 2, 2021
9:50
–
10 a.m.
Welcome
10
–
10:40 a.m.
A Data-Centric View on Robustness
Ludwig Schmidt (University of Washington)
10:40
–
11 a.m.
Break
11
–
11:40 a.m.
On the Power of Differentiable Learning
Nathan Srebro (Toyota Technological Institute at Chicago)
11:40 a.m.
–
1:30 p.m.
Lunch
1:30
–
3 p.m.
Student Poster Session & Reception
Wednesday, Nov. 3, 2021
10
–
10:40 a.m.
Yes, Generative Models Are the New Sparsity
Alex Dimakis (UT Austin)
10:40
–
11 a.m.
Break
11
–
11:40 a.m.
The Surprising Power of the Lenstra-Lenstra-Lovasz Algorithm for Noiseless Inference
Ilias Zadik (MIT)
Thursday, Nov. 4, 2021
10
–
10:40 a.m.
Learning and Optimization with Adaptive Smoothed Adversaries
Nika Haghtalab (UC Berkeley)
10:40
–
11 a.m.
Break
11
–
11:40 a.m.
Scalable and Reliable Inference for Probabilistic Modeling
Ruqi Zhang (UT Austin)
Friday, Nov. 5, 2021
10
–
10:40 a.m.
The Planted Matching Problem: Sharp Threshold and Infinite-Order Phase Transition
Dana Yang (Simons Institute)
10:40
–
11 a.m.
Break
11
–
11:40 a.m.
Function Space View of Bounded Weight Norm Networks
Suriya Gunasekar (Microsoft Research)
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