activity
20182026
most citedRobust Maximization of Non-Submodular Objectives

27 citations · 32 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.GT2026

From No-Regret to Strategically Robust Learning in Repeated Auctions

Junyao Zhao

In Bayesian single-item auctions, a monotone bidding strategy--one that prescribes a higher bid for a higher value type--can be equivalently represented as a partition of the quant…

cs.GT2024

Strategizing against No-Regret Learners in First-Price Auctions

Aviad Rubinstein, Junyao Zhao

We study repeated first-price auctions and general repeated Bayesian games between two players, where one player, the learner, employs a no-regret learning algorithm, and the other…

cs.GT2023

The Power of Menus in Contract Design

Guru Guruganesh, Jon Schneider, Joshua Wang +1

We study the power of menus of contracts in principal-agent problems with adverse selection (agents can be one of several types) and moral hazard (we cannot observe agent actions d…

cs.GT2023★ 2 cited

Multi-Channel Auction Design in the Autobidding World

Gagan Aggarwal, Andres Perlroth, Junyao Zhao

Over the past few years, more and more Internet advertisers have started using automated bidding for optimizing their advertising campaigns. Such advertisers have an optimization g…

cs.GT2022

Beyond Worst-Case Budget-Feasible Mechanism Design

Aviad Rubinstein, Junyao Zhao

Motivated by large-market applications such as crowdsourcing, we revisit the problem of budget-feasible mechanism design under a "small-bidder assumption". Anari, Goel, and Nikzad…

cs.GT2021

The Randomized Communication Complexity of Randomized Auctions

Aviad Rubinstein, Junyao Zhao

We study the communication complexity of incentive compatible auction-protocols between a monopolist seller and a single buyer with a combinatorial valuation function over item…

cs.GT2020★ 3 cited

Exponential Communication Separations between Notions of Selfishness

Aviad Rubinstein, Raghuvansh R. Saxena, Clayton Thomas +2

We consider the problem of implementing a fixed social choice function between multiple players (which takes as input a type from each player and outputs an outcome $f(t_…