Antonio Molina Lovett

dblp:232/1903 · DBLP profile ↗
← Back
3ranked-venue papers
1as first author
2since 2021 · last 2022
0000-0002-1890-9517ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 3 · 1 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021
YearPublicationVenuePosition
2022 Max-Weight Online Stochastic Matching: Improved Approximations Against the Online Benchmark
abstract
In this paper, we study max-weight stochastic matchings on online bipartite graphs under both vertex and edge arrivals. We focus on designing polynomial time approximation algorithms with respect to the online benchmark, which was first considered by Papadimitriou, Pollner, Saberi, and Wajc [EC'21].
Mark Braverman, Mahsa Derakhshan, Antonio Molina Lovett
EC3
2022 Computational aspects of sturdy and flimsy numbers
Trevor Clokie, Thomas F. Lidbetter, Antonio Molina Lovett, Jeffrey Shallit, Leon Witzman
Theor. Comput. Sci.3
2019 Optimal Regular Expressions for Permutations
abstract
The permutation language $P_n$ consists of all words that are permutations of a fixed alphabet of size $n$. Using divide-and-conquer, we construct a regular expression $R_n$ that specifies $P_n$. We then give explicit bounds for the length of $R_n$, which we find to be $4^n n^{-(\lg n)/4+Θ(1)}$, and use these bounds to show that $R_n$ has minimum size over all regular expressions specifying $P_n$.
Antonio Molina Lovett, Jeffrey Shallit
ICALP1