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20112020
most citedOn Optimal Multi-Dimensional Mechanism Design

14 citations · 18 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.GT2020

Optimal Mechanism Design for Single-Minded Agents

Nikhil Devanur, Kira Goldner, Raghuvansh Saxena +2

We consider revenue-optimal mechanism design in the interdimensional setting, where one dimension is the 'value' of the buyer, and one is a 'type' that captures some auxiliary info…

cs.GT2018★ 1 cited

A Duality-Based Unified Approach to Bayesian Mechanism Design

Yang Cai, Nikhil R. Devanur, S. Matthew Weinberg

We provide a unified view of many recent developments in Bayesian mechanism design, including the black-box reductions of Cai et al. [CDW13b], simple auctions for additive buyers […

cs.GT2016

Revenue Maximization and Ex-Post Budget Constraints

Constantinos Daskalakis, Nikhil R. Devanur, S. Matthew Weinberg

We consider the problem of a revenue-maximizing seller with m items for sale to n additive bidders with hard budget constraints, assuming that the seller has some prior distributio…

cs.GT2014★ 3 cited

Bayesian Truthful Mechanisms for Job Scheduling from Bi-criterion Approximation Algorithms

Constantinos Daskalakis, S. Matthew Weinberg

We provide polynomial-time approximately optimal Bayesian mechanisms for makespan minimization on unrelated machines as well as for max-min fair allocations of indivisible goods, w…

cs.GT2013

Reducing Revenue to Welfare Maximization: Approximation Algorithms and other Generalizations

Yang Cai, Constantinos Daskalakis, S. Matthew Weinberg

It was recently shown in [http://arxiv.org/abs/1207.5518] that revenue optimization can be computationally efficiently reduced to welfare optimization in all multi-dimensional Baye…

cs.GT2011★ 14 cited

On Optimal Multi-Dimensional Mechanism Design

Constantinos Daskalakis, S. Matthew Weinberg

We efficiently solve the optimal multi-dimensional mechanism design problem for independent bidders with arbitrary demand constraints when either the number of bidders is a constan…