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Randomized Communication Complexity || @ CMU || Lecture 23c of CS Theory Toolkit
Communication Complexity of Equality || @ CMU || Lecture 10d of CS Theory Toolkit
Lecture 26 Communication Complexity
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Computational Models: Circuits || @ CMU || Lecture 6b of CS Theory Toolkit
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Pseudoexpectations || @ CMU || Lecture 21(d) of CS Theory Toolkit
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Last Updated: October 27, 2026
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Basic definitions and examples (Equality, Disjointness, Inner-Product-mod-2) for Herein: the statement of Yao's Minimax Theorem, the main tool for proving randomized Information Complexity: a modern way to understand Every nonzero degree-d polynomial has at most d roots. A very simple fact, but what is it good for? One application is to the ... Anup Rao, University of Washington simons.berkeley.edu/talks/lower-bounds- Boolean circuits as a computational model. Circuit classes, upper and lower bounds, uniformity and non-uniformity. Members' Seminar Topic: Lower Bounds in Complexity ISIT 2015 Tutorial Information and The dual of the Sherali--Adams and SOS proof systems involve "pseudoexpectations": 'fake' probability distributions on the ...
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