Explore advanced concepts in statistical inference with a focus on distributed and constrained settings in this IEEE conference talk. Delve into topics such as simulation and inference, discrete inference, non-interactive inference, and domain compression. Examine a discrete distribution example to solidify understanding. Gain valuable insights into lower bounds for statistical inference and their applications in various computational environments.
Cookbook - Lower Bounds for Statistical Inference in Distributed and Constrained Settings - Part 4
Overview
Syllabus
Introduction
Simulation and Inference
Discrete Inference
NonInteractive Inference
Domain Compression
Discrete Distribution Example
Summary
Taught by
IEEE FOCS: Foundations of Computer Science
Tags
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