Writing

Papers, presentations, notes, and random musings.


Preprints

Antares Chen, Jonathan Shi, and Luca Trevisan
arXiv 2008.05648

Publications

Eliane S. Wiese, Michael Yen, Antares Chen, Lucas A. Santos, and Armando Fox.
Learning@Scale 2017
Antares Chen, Eliane S. Wiese, HeZheng Yin, Rohan Choudhury, and Armando Fox.
LWMOOCS 2016 [slides]
Antares Chen, David G. Harris, Aravind Srinivasan
SODA 2016 [slides]

Notes from Berkeley's UGTCS

Approximation Algorithms. Ball-growing with its application to Garg, Vazirani, and Yannakakis's \( 4 \ln (k+1) \)-approximation for multicut.
Approximation Algorithms. Buchbinder, Feldman, Naor, and Schwartz's double greedy algorithm for maximizing non-monotone submodular functions.
Approximation Algorithms. Cornuejols, Fisher, and Nemhauser's \( (1 - \frac{1}{e}) \)-approximation for maximizing monotone submodular functions.
Beyond Worst Case Analysis. Exactly recovering the planted bipartition in a stochastic block model using Abbe, Bandeira, and Hall's SDP-based algorithm.
Beyond Worst Case Analysis. McSherry's matrix perturbative analysis of a spectral algorithm for finding planted bipartitions in a stochastic block model.
Beyond Worst Case Analysis. Feige and Killian's SDP-based algorithm for finding planted cliques in \( \mathcal{G}_{n,p} \) and semi-random graphs.
Beyond Worst Case Analysis. The second-moment calculation demonstrating the largest clique in a \( \mathcal{G}_{n,1/2} \) graph has close to \( 2 \log n \) w.h.p. and a greedy algorithm for finding such a clique.
Beyond Worst Case Analysis. A review of discrete probability and linear algebra results useful for studying spectral and SDP-based algorithms.

Notes from classes

Berkeley's CS294-154. SDP duality and the relationship between Sum of Squares and Sherali-Adams relaxation hierarchies.
Berkeley's CS294-154. Semi-definite programming and the degree-2 SoS relaxation for maxcut.
Berkeley's CS169. Derivations for the average wait times of M/M/1 and M/G/1 queues.
Berkeley's CS169. Derivation of Little's Law.
Berkeley's CS270. Final report on Buchbinder and Naor's online cover-pack framework with applications to competitive algorithms for online set cover and routing.
Berkeley CS294-128. Follow the Regularized Leader, Bregman divergence, and Online Mirror Descent.
Berkeley CS294-128. The \( \Omega(\log k) \)-competitive lower bound for randomized online paging and an introduction to the online cover-pack framework.