Silvio Lattanzi

most citedAccelerating Scientific Research with Gemini: Case Studies and Common Techniques

3 citations · 3 across the 3 of their papers we have counts for

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cs.DS2026

Learning Multinomial Logits in $O (n lo g n)$ time

Flavio Chierichetti, Mirko Giacchini, Ravi Kumar +4

A Multinomial Logit (MNL) model is composed of a finite universe of items $[n] = {1, ..., n}$ , each assigned a positive weight. A query specifies an admissible subset -- called a sl…

cs.DS2024

Data-Driven Solution Portfolios

Marina Drygala, Silvio Lattanzi, Andreas Maggiori +3

In this paper, we consider a new problem of portfolio optimization using stochastic information. In a setting where there is some uncertainty, we ask how to best select $k$ potenti…

Learning Multinomial Logits in O(nlogn) time

Data-Driven Solution Portfolios

Learning Multinomial Logits in $O (n lo g n)$ time