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Computational Complexity of Statistical Inference_hi-res logo

Joint IFML/CCSI Symposium

Program
Computational Complexity of Statistical Inference
Date
Tuesday, Nov. 2 – Friday, Nov. 5, 2021
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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
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)
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)
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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  • Home
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    • Public Lectures
    • Research Pods
    • Internal Program Activities
    • Algorithms, Society, and the Law
  • People
    • Scientific Leadership
    • Staff
    • Current Long-Term Visitors
    • Research Fellows
    • Postdoctoral Researchers
    • Scientific Advisory Board
    • Governance Board
    • Industry Advisory Council
    • Affiliated Faculty
    • Science Communicators in Residence
    • Law and Society Fellows
  • Participate
    • Apply to Participate
    • Plan Your Visit
    • Location & Directions
    • Postdoctoral Research Fellowships
    • Law and Society Fellowships
    • Science Communicator in Residence Program
    • Circles
    • Breakthroughs Workshops and Goldwasser Exploratory Workshops
  • Support
    • Annual Fund
    • Funders
    • Industrial Partnerships
  • News & Videos
    • News
    • Videos
  • About

Utility navigation

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