Computer Sciences Dept.

CS 880 - Advanced Complexity Theory

Spring 2008

Lecture Notes

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Date Topic Scribe
1 1/23 Introduction Jeff Kinne
2 1/25 Background on Harmonic Analysis Priyananda Shenoy
3 1/28 Harmonic Analysis over Finite Groups Adeel Pervez
4 1/30 Linearity Testing Dalibor Zeleny
5 2/1 Dictatorship Testing Scott Diehl
6 2/4 Influence and Noise Sensitivity David Malec
7 2/8 Passive Learning Thomas Watson
8 2/11 Active Learning Chi Man Liu
9 2/13 Learning DNFs Matt Anderson
10 2/15 Hypercontractivity Baris Aydinlioglu
11 2/18 Concentration on Influential Variables Seeun Umboh
12 2/20 Social Choice Theory Mark Liu
13 2/22 Average-Case Hardness Thomas Watson
14 2/25 Hardness Amplification Adeel Pervez
15 2/29 Hardness Amplification within NP Priyananda Shenoy
16 3/3 Noise Sensitivity of Majority Chi Man Liu
17 3/5 Hardness of Approximation David Malec
18 3/7 Inapproximability of Maximum 3-SAT Jeff Kinne
19 3/10 Inapproximability of Maximum Cut Matt Anderson
20 3/12 Inapproximability of Minimum Vertex Cover Mark Liu
21 3/14 Small-Bias Pseudorandom Generators Dalibor Zeleny
22 3/24 Biased Harmonic Analysis Baris Aydinlioglu
23 3/26 Threshold Phenomena Seeun Umboh
24 3/31 Additive Combinatorics Scott Diehl
25 4/4 Coding Theory Dalibor Zeleny
26 4/9 The Harmonic Sieve Baris Aydinlioglu
27 4/11 Influence in Decision Trees Mark Liu
28 4/18 Uniform Hardness Amplification Seeun Umboh
29 4/21 Metric Embeddings David Malec

 
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