1 citations · 1 across the 10 of their papers we have counts for
12 papers
Pairwise Exchanges of Freely Replicable Goods with Negative Externalities
Shangyuan Yang, Kirthevasan Kandasamy
We study a setting where a set of agents engage in pairwise exchanges of freely replicable goods (e.g., digital goods such as data), where two agents grant each other a copy of a g…
Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget
Michael O. Harding, Vikas Singh, Kirthevasan Kandasamy
Data collection is a critical component of modern statistical and machine learning pipelines, particularly when data must be gathered from multiple heterogeneous sources to study a…
Strategy-robust Online Learning in Contextual Pricing
Joon Suk Huh, Kirthevasan Kandasamy
Learning effective pricing strategies is crucial in digital marketplaces, especially when buyers' valuations are unknown and must be inferred through interaction. We study the onli…
Constrained Best Arm Identification with Tests for Feasibility
Ting Cai, Kirthevasan Kandasamy
Best arm identification (BAI) aims to identify the highest-performance arm among a set of arms by collecting stochastic samples from each arm. In real-world problems, the best…
Agora: A System for Consumption-Based GPU Pricing
Ian McDougall, Noah Scott, Joon Huh +2
We present Agora, a lightweight system designed for cloud-based GPUs which meters a three-dimensional resource vector from commodity performance counters and prices it with a funct…
A Cramér-von Mises Approach to Incentivizing Truthful Data Sharing
Alex Clinton, Thomas Zeng, Yiding Chen +2
Modern data marketplaces and data sharing consortia increasingly rely on incentive mechanisms to encourage agents to contribute data. However, schemes that reward agents based on t…