activity
20142025
most citedSynthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls

5 citations · 20 across the 11 of their papers we have counts for

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Showing cs.GTShow all

9 papers · 1 filter

cs.GT2025

Iterative Vickrey Auctions via Linear Programming

Sébastien Lahaie, Benjamin Lubin

Building on the linear programming approach to competitive equilibrium pricing, we develop a general method for constructing iterative auctions that achieve Vickrey-Clarke-Groves (…

cs.GT2021

Robust Clearing Price Mechanisms for Reserve Price Optimization

Zhe Feng, Sébastien Lahaie

Setting an effective reserve price for strategic bidders in repeated auctions is a central question in online advertising. In this paper, we investigate how to set an anonymous res…

cs.GT2020★ 2 cited

Reserve Price Optimization for First Price Auctions

Zhe Feng, Sébastien Lahaie, Jon Schneider +1

The display advertising industry has recently transitioned from second- to first-price auctions as its primary mechanism for ad allocation and pricing. In light of this, publishers…

cs.GT2018

Fast Iterative Combinatorial Auctions via Bayesian Learning

Gianluca Brero, Sébastien Lahaie, Sven Seuken

Iterative combinatorial auctions (CAs) are often used in multi-billion dollar domains like spectrum auctions, and speed of convergence is one of the crucial factors behind the choi…

cs.GT2017

A Bayesian Clearing Mechanism for Combinatorial Auctions

Gianluca Brero, Sébastien Lahaie

We cast the problem of combinatorial auction design in a Bayesian framework in order to incorporate prior information into the auction process and minimize the number of rounds to…

cs.GT2017

Fair Allocation of Indivisible Goods to Asymmetric Agents

Alireza Farhadi, Mohammad Ghodsi, MohammadTaghi Hajiaghayi +5

We study fair allocation of indivisible goods to agents with unequal entitlements. Fair allocation has been the subject of many studies in both divisible and indivisible settings.…

cs.GT2017★ 4 cited

A Decomposition of Forecast Error in Prediction Markets

Miroslav Dudík, Sébastien Lahaie, Ryan Rogers +1

We analyze sources of error in prediction market forecasts in order to bound the difference between a security's price and the ground truth it estimates. We consider cost-function-…

cs.GT2016★ 3 cited

Arbitrage-Free Combinatorial Market Making via Integer Programming

Christian Kroer, Miroslav Dudík, Sébastien Lahaie +1

We present a new combinatorial market maker that operates arbitrage-free combinatorial prediction markets specified by integer programs. Although the problem of arbitrage-free pric…

cs.GT2015★ 1 cited

Rate of Price Discovery in Iterative Combinatorial Auctions

Jacob Abernethy, Sébastien Lahaie, Matus Telgarsky

We study a class of iterative combinatorial auctions which can be viewed as subgradient descent methods for the problem of pricing bundles to balance supply and demand. We provide…