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20062023
most citedLearning Simple Auctions

69 citations · 423 across the 56 of their papers we have counts for

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Showing 2018Show all

9 papers · 1 filter

econ.TH2018

Approximately Optimal Mechanism Design

Tim Roughgarden, Inbal Talgam-Cohen

Optimal mechanism design enjoys a beautiful and well-developed theory, and also a number of killer applications. Rules of thumb produced by the field influence everything from how…

cs.GT2018

Simple versus Optimal Contracts

Paul Dütting, Tim Roughgarden, Inbal Talgam-Cohen

We consider the classic principal-agent model of contract theory, in which a principal designs an outcome-dependent compensation scheme to incentivize an agent to take a costly and…

cs.LG2018

On the Computational Power of Online Gradient Descent

Vaggos Chatziafratis, Tim Roughgarden, Joshua R. Wang

We prove that the evolution of weight vectors in online gradient descent can encode arbitrary polynomial-space computations, even in very simple learning settings. Our results impl…

cs.DS2018★ 4 cited

Beyond Worst-Case Analysis

Tim Roughgarden

In the worst-case analysis of algorithms, the overall performance of an algorithm is summarized by its worst performance on any input. This approach has countless success stories,…

cs.LG2018★ 3 cited

An Optimal Algorithm for Online Unconstrained Submodular Maximization

Tim Roughgarden, Joshua R. Wang

We consider a basic problem at the interface of two fundamental fields: submodular optimization and online learning. In the online unconstrained submodular maximization (online USM…

cs.DS2018★ 23 cited

Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization

Rad Niazadeh, Tim Roughgarden, Joshua R. Wang

In this paper we study the fundamental problems of maximizing a continuous non-monotone submodular function over the hypercube, both with and without coordinate-wise concavity. Thi…