The deadline to register to the Women In Theory workshop is January 16, 2018. As Omer Reingold posted, this is a wonderful workshop with a strong set of speakers (confirmed speakers include Bonnie Berger, Yael Kalai, Julia Kempe, Gillat Kol, Nancy Lynch, and Barna Saha). It is sure to have a great technical content, as well … Continue reading Women In Theory – registration deadline getting closer
Month: December 2017
ITCS early registration deadline
Message from Costis, Yael, and Vinod: ITCS is back in the east coast, and will be at MIT from January 11-14, 2018. As you know, ITCS is a conference that is unique in many respects: it's a conference that emphasizes dialog and discussion among all sub-areas of TCS, facilitating it with a single track structure and "chair … Continue reading ITCS early registration deadline
Sam Hopkins’s 6 part learning via SoS series
(I'm a non native speaker - is it Hopkins' or Hopkins's? --Boaz) Sam Hopkins just completed a heroic 6 part blog post sequence on using the Sum of Squares algorithm for unsupervised learning. The goal of unsupervised learning is to recover the underlying structure of a distribution $latex \mathcal{D}$ given samples $latex X_1,\ldots,X_n$ sampled from … Continue reading Sam Hopkins’s 6 part learning via SoS series
Clustering and Sum of Squares Proofs, Part 6
This is the 6th and final part of a series on clustering, Gaussian mixtures, and Sum of Squares (SoS) proofs. If you have not read them yet, I recommend starting with Part 1, Part 2, Part 3, Part 4, and Part 5. Also, if you find errors please mention them in the comments (or otherwise … Continue reading Clustering and Sum of Squares Proofs, Part 6
Clustering and Sum of Squares Proofs, Part 5
This is part 5 of a continuing series on clustering, Gaussian mixtures, and Sum of Squares (SoS) proofs. If you have not read them yet, I recommend starting with Part 1, Part 2, Part 3, and Part 4. Also, if you find errors please mention them in the comments (or otherwise get in touch with … Continue reading Clustering and Sum of Squares Proofs, Part 5
Clustering and Sum of Squares Proofs, Part 4
This is part 4 of a continuing series on clustering, Gaussian mixtures, and Sum of Squares (SoS) proofs. If you have not read them yet, I recommend starting with Part 1, Part 2, and Part 3. Also, if you find errors please mention them in the comments (or otherwise get in touch with me) and … Continue reading Clustering and Sum of Squares Proofs, Part 4
Clustering and Sum of Squares Proofs, Part 3
This is part 3 of a continuing series on clustering, Gaussian mixtures, and Sum of Squares (SoS) proofs. If you have not read them yet, I recommend starting with Part 1 and Part 2. Also, if you find errors please mention them in the comments (or otherwise get in touch with me) and I will … Continue reading Clustering and Sum of Squares Proofs, Part 3
Clustering and Sum of Squares Proofs, Part 2
This is part 2 of a series on clustering, Gaussian mixtures, and Sum of Squares (SoS) proofs. If you have not read it yet, I recommend starting with Part 1. Also, if you find errors please mention them in the comments (or otherwise get in touch with me) and I will fix them ASAP. Welcome … Continue reading Clustering and Sum of Squares Proofs, Part 2
Clustering and Sum of Squares Proofs, Part 1
Update (1/5/18): a pdf containing all six posts in this series is now available on my website. I am excited to (temporarily) join the Windows on Theory family as a guest blogger! This is the first post in a series which will appear on Windows on Theory in the coming weeks. The aim is to … Continue reading Clustering and Sum of Squares Proofs, Part 1
On the (Im)possiblity of intelligence explosion
(In this post I am following the venerable tradition of bloggers opining about matters on which they don't really know much about. I hope I learn something from the feedback --Boaz). Nothing is impossible, Child, nothing is impossible. Every bridge is crossable. Every tooth is flossable. Every win is lossable. Every worker's bossable. Every cookie's … Continue reading On the (Im)possiblity of intelligence explosion