activity
20172026
most citedNearly Minimax-Optimal Regret for Linearly Parameterized Bandits

62 citations · 128 across the 42 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.GT2025

Three Tiers and Thresholds: Incentives in Private Market Investing

Jussi Keppo, Yingkai Li

This paper studies optimal contract design in private market investing, focusing on internal decision making in venture capital and private equity firms. A principal relies on an a…

cs.GT2025

Fair Team Contracts

Matteo Castiglioni, Junjie Chen, Yingkai Li

A principal selects a team of agents for collaborating on a joint project. The principal aims to design a revenue-optimal contract that incentivizes the team of agents to exert cos…

cs.GT2025

Scale-robust Auctions

Jason Hartline, Aleck Johnsen, Yingkai Li

We study auctions that are robust at any scale, i.e., they can be applied to sell both expensive and cheap items and achieve the best multiplicative approximation of the optimal re…

cs.GT2025

Algorithmic Fair Contracts

Matteo Castiglioni, Junjie Chen, Yingkai Li

We initiate the algorithmic study of fair contract design. A principal assigns multiple tasks to heterogeneous agents and chooses task-level linear contracts; agents differ in cost…

cs.GT2025

Competition Complexity in Multi-Item Auctions: Beyond VCG and Regularity

Hedyeh Beyhaghi, Linda Cai, Yiding Feng +2

We quantify the value of the monopoly's bargaining power in terms of competition complexity--that is, the number of additional bidders the monopoly must attract in simple auctions…

cs.GT2025

Multi-Project Contracts

Tal Alon, Matteo Castiglioni, Junjie Chen +3

We study a new class of contract design problems where a principal delegates the execution of multiple projects to a set of agents. The principal's expected reward from each projec…

cs.GT2025

Multi-Dimensional Screening with Endogenous Information Disclosure

Yang Cai, Yingkai Li, Jinzhao Wu

We study multi-product monopoly pricing where the seller jointly designs the selling mechanism and the information structure for the buyer to learn his values. Unlike the case with…