59 citations · 192 across the 56 of their papers we have counts for
6 papers · 1 filter
Adversarial Bandits with Knapsacks
Nicole Immorlica, Karthik Abinav Sankararaman, Robert Schapire +1
We consider Bandits with Knapsacks (henceforth, BwK), a general model for multi-armed bandits under supply/budget constraints. In particular, a bandit algorithm needs to solve a we…
Incentivizing Exploration with Selective Data Disclosure
Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins +1
We propose and design recommendation systems that incentivize efficient exploration. Agents arrive sequentially, choose actions and receive rewards, drawn from fixed but unknown ac…
Access to Population-Level Signaling as a Source of Inequality
Nicole Immorlica, Katrina Ligett, Juba Ziani
We identify and explore differential access to population-level signaling (also known as information design) as a source of unequal access to opportunity. A population-level signal…
Secure Relaying in Non-Orthogonal Multiple Access: Trusted and Untrusted Scenarios
Ahmed Arafa, Wonjae Shin, Mojtaba Vaezi +1
A downlink single-input single-output non-orthogonal multiple access setting is considered, in which a base station (BS) is communicating with two legitimate users in two possible…
Unleashing Linear Optimizers for Group-Fair Learning and Optimization
Daniel Alabi, Nicole Immorlica, Adam Tauman Kalai
Most systems and learning algorithms optimize average performance or average loss -- one reason being computational complexity. However, many objectives of practical interest are m…
The Importance of Communities for Learning to Influence
Eric Balkanski, Nicole Immorlica, Yaron Singer
We consider the canonical problem of influence maximization in social networks. Since the seminal work of Kempe, Kleinberg, and Tardos, there have been two largely disjoint efforts…