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1
Intro
2
Sampling from discrete distributions
3
Isotropy for continuous distributions
4
Isotropy for discrete distributions
5
Main results
6
Log-concave generating polynomials
7
Prior work: Log-concave polynomials
8
Determinantal Point Processes (DPPs)
9
Prior work: Sampling from DPP
10
Distortion-free intermediate sampling beyond DPPS
11
New approach: Instant mixing + Hierarchical walk
12
Techniques: Negative dependence properties
13
Negative dependence for intermediate sampling
14
Converting to isotropic position
15
Conclusions and open questions
16
References
Description:
Explore the concept of isotropy and log-concave polynomials in this 20-minute IEEE conference talk. Delve into accelerated sampling techniques and high-precision counting of matroid bases. Learn about discrete and continuous distributions, log-concave generating polynomials, and Determinantal Point Processes (DPPs). Discover a new approach combining instant mixing and hierarchical walk, and understand negative dependence properties. Gain insights into converting to isotropic position and consider open questions in this field presented by Nima Anari from Stanford and Michal Derezinski from UC-Berkeley.

Isotropy and Log-Concave Polynomials

IEEE
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