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20192026
most citedThrottling Equilibria in Auction Markets

2 citations · 6 across the 12 of their papers we have counts for

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8 papers · 1 filter

cs.GT2026

Online Generalized-Mean Welfare Maximization: Achieving Near-Optimal Regret from Samples

Zongjun Yang, Rachitesh Kumar, Christian Kroer

We study online fair allocation of sequentially arriving items among agents with heterogeneous preferences, with the objective of maximizing generalized-mean welfare, defin…

cs.GT2025

Prior-Independent Bidding Strategies for First-Price Auctions

Rachitesh Kumar, Omar Mouchtaki

First-price auctions are one of the most popular mechanisms for selling goods and services, with applications ranging from display advertising to timber sales. Unlike their close c…

cs.GT2024

Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions

Rachitesh Kumar, Jon Schneider, Balasubramanian Sivan

Learning to bid in repeated first-price auctions is a fundamental problem at the interface of game theory and machine learning, which has seen a recent surge in interest due to the…

cs.GT2022

Single-Leg Revenue Management with Advice

Santiago Balseiro, Christian Kroer, Rachitesh Kumar

Single-leg revenue management is a foundational problem of revenue management that has been particularly impactful in the airline and hotel industry: Given units of a resource,…

cs.GT2021★ 2 cited

Throttling Equilibria in Auction Markets

Xi Chen, Christian Kroer, Rachitesh Kumar

Throttling is a popular method of budget management for online ad auctions in which the platform modulates the participation probability of an advertiser in order to smoothly spend…

cs.GT2021

The Complexity of Pacing for Second-Price Auctions

Xi Chen, Christian Kroer, Rachitesh Kumar

Budget constraints are ubiquitous in online advertisement auctions. To manage these constraints and smooth out the expenditure across auctions, the bidders (or the platform on beha…

cs.GT2021★ 2 cited

Contextual Standard Auctions with Budgets: Revenue Equivalence and Efficiency Guarantees

Santiago Balseiro, Christian Kroer, Rachitesh Kumar

The internet advertising market is a multi-billion dollar industry, in which advertisers buy thousands of ad placements every day by repeatedly participating in auctions. An import…

cs.GT2019

Fair and Efficient Cake Division with Connected Pieces

Eshwar Ram Arunachaleswaran, Siddharth Barman, Rachitesh Kumar +1

The classic cake-cutting problem provides a model for addressing fair and efficient allocation of a divisible, heterogeneous resource (metaphorically, the cake) among agents with d…