5 citations · 10 across the 6 of their papers we have counts for
5 papers · 1 filter
The Price is (Probably) Right: Learning Market Equilibria from Samples
Vignesh Viswanathan, Omer Lev, Neel Patel +1
Equilibrium computation in markets usually considers settings where player valuation functions are known. We consider the setting where player valuations are unknown; using a PAC l…
Model Explanations with Differential Privacy
Neel Patel, Reza Shokri, Yair Zick
Black-box machine learning models are used in critical decision-making domains, giving rise to several calls for more algorithmic transparency. The drawback is that model explanati…
High Dimensional Model Explanations: an Axiomatic Approach
Neel Patel, Martin Strobel, Yair Zick
Complex black-box machine learning models are regularly used in critical decision-making domains. This has given rise to several calls for algorithmic explainability. Many explanat…
Keeping Your Friends Close: Land Allocation with Friends
Edith Elkind, Neel Patel, Alan Tsang +1
We examine the problem of assigning plots of land to prospective buyers who prefer living next to their friends. They care not only about the plot they receive, but also about thei…
Discrete Richman-bidding Scoring Games
Urban Larsson, Neel Patel, Ravi Kant Rai
We study zero-sum (combinatorial) games, within the framework of so-called Richman auctions (Lazarus et al. 1996) namely, we modify the alternating play scoring ruleset Cumulative…