1 |
9/3/25 |
intro, le cam, uniformity testing lower bound |
draft |
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2 |
9/8/25 |
overview, linear and logistic regression, start sparse regression |
draft |
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3 |
9/10/25 |
sparse regression, compressed sensing |
Moitra book, Ch. 5 |
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4 |
9/15/25 |
learning a gaussian and a product distribution – tv versus parameter learning |
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5 |
9/17/25 |
introduction to MRFs, ising uniformity testing |
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6 |
9/22/25 |
tree-structured graphical models I – belief propagation |
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7 |
9/24/25 |
tree-structured graphical models II – chow-liu, fano |
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8 |
9/29/25 |
parameter learning MRFs |
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9 |
10/1/25 |
tv learning MRFs, tournament |
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10 |
10/6/25 |
kesten-stigum bound, temperature |
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11 |
10/8/25 |
log sobolev – sampling and concentration of measure |
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12 |
10/15/25 |
svd, pca, best rank-one approximation (steurer notes) |
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13 |
10/20/25 |
spectral clustering I: gaussian mixtures |
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14 |
10/22/25 |
spectral clustering II: stochastic block model |
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15 |
10/27/25 |
stochastic block model robustness and ultra-sparse regime – grothendieck inequality and sdp |
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16 |
10/29/25 |
matrix completion |
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17 |
11/3/25 |
tensor decomposition I: Jenrich’s algorithm |
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18 |
11/5/25 |
tensor decomposition II: ICA, HMMs, and friends |
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19 |
11/12/25 |
robust mean estimation via filter |
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20 |
11/17/25 |
robust learning ising models |
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21 |
11/19/25 |
SQ I |
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22 |
11/24/25 |
SQ II – friends of SQ including low degree, overlap gap, SoS |
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23 |
11/26/25 |
planted clique – robust sparse mean estimation |
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24 |
12/1/25 |
lwe reduction?? |
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25 |
12/3/25 |
(sam traveling – possibly cancel class or rehearse presentations) |
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26 |
12/8/25 |
project presentations |
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27 |
12/10/25 |
project presentations |
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