Meta Research

We present experiments using real datasets with up to 15k users and items, which show that our approach obtains better trade-offs than the baselines on a variety of...

We introduce a novel regularizer which can describe those distributional preferences, while keeping the problem tractable. We show that this regularizer can be integrated into an...

This paper studies equilibrium quality of semi-separable position auctions (known as the Ad Types setting [9]) with greedy or optimal allocation combined with generalized...

In this paper we provide an overview of broken liability proof systems used in production today and suggest fixes, in the hope of closing the gap between theory and practice.

In this paper, we present the current state of affairs in relation to NFTs and the cultural heritage sector, identifying challenges, whilst highlighting opportunities that they...

This work formalizes the PoA requirements in account-based blockchains, focusing on the unique hierarchical account structure of the Diem blockchain, formerly known as Libra.

Since 2015, we have aligned to the vision of the United Nations Sustainable Development Goals, of which SDG 8 ‘decent work and economic growth’ is a key focus area.

In this paper we tackle the problem, which is also known as profile inference and profile rectification. We investigate the classical approach for profile inference, based on computing minimum-cost maximum flows in a control-flow graph, and develop an extended model capturing the desired properties of real-world profiles.

We train and calibrate the estimates using nationally representative household survey data from 56 LMICs and then validate their accuracy using four independent sources of household survey data from 18 countries.

We initiate the theoretical study of Ext-TSP, a problem that originates in the area of profile-guided binary optimization.