Patrick Loiseau

Orcid: 0000-0003-0674-3369

According to our database1, Patrick Loiseau authored at least 74 papers between 2007 and 2024.

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Bibliography

2024
Equitable Pricing in Auctions.
CoRR, 2024

The Price of Fairness in Bipartite Matching.
CoRR, 2024

2023
Efficient approximation algorithms for scheduling moldable tasks.
Eur. J. Oper. Res., 2023

DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation.
CoRR, 2023

Understanding Blockchain Governance: Analyzing Decentralized Voting to Amend DeFi Smart Contracts.
CoRR, 2023

Collaborative Ad Transparency: Promises and Limitations.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Trading-off price for data quality to achieve fair online allocation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dissecting Bitcoin and Ethereum Transactions: On the Lack of Transaction Contention and Prioritization Transparency in Blockchains.
Proceedings of the Financial Cryptography and Data Security, 2023

2022
On fair selection in the presence of implicit and differential variance.
Artif. Intell., 2022

Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Fairness in Selection Problems with Strategic Candidates.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Statistical Discrimination in Stable Matchings.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Bounding and Approximating Intersectional Fairness through Marginal Fairness.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2021
Modeling Coordinated vs. P2P Mining: An Analysis of Inefficiency and Inequality in Proof-of-Work Blockchains.
CoRR, 2021

Colonel Blotto Games with Favoritism: Competitions with Pre-allocations and Asymmetric Effectiveness.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Selfish & opaque transaction ordering in the Bitcoin blockchain: the case for chain neutrality.
Proceedings of the IMC '21: ACM Internet Measurement Conference, 2021

Scalable Optimal Classifiers for Adversarial Settings Under Uncertainty.
Proceedings of the Decision and Game Theory for Security - 12th International Conference, 2021

2020
Toward Designing Cost-Optimal Policies to Utilize IaaS Clouds with Online Learning.
IEEE Trans. Parallel Distributed Syst., 2020

Linear Regression from Strategic Data Sources.
ACM Trans. Economics and Comput., 2020

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities.
Frontiers Big Data, 2020

On Fair Selection in the Presence of Implicit Variance.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Lethe: Conceal Content Deletion from Persistent Observers.
Proc. Priv. Enhancing Technol., 2019

Approximate Equilibria in Non-constant-sum Colonel Blotto and Lottery Blotto Games with Large Numbers of Battlefields.
CoRR, 2019

Colonel Blotto Games and Hide-and-Seek Games as Path Planning Problems with Side Observations.
CoRR, 2019

Nonzero-sum Adversarial Hypothesis Testing Games.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Measuring the Facebook Advertising Ecosystem.
Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019

The Price of Local Fairness in Multistage Selection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Combinatorial Bandits for Sequential Learning in Colonel Blotto Games.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Special Issue on the Economics of Security and Privacy: Guest Editors' Introduction.
ACM Trans. Internet Techn., 2018

Privacy Risks with Facebook's PII-Based Targeting: Auditing a Data Broker's Advertising Interface.
Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebooks Explanations.
Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Potential for Discrimination in Online Targeted Advertising.
Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

A Simple and Efficient Algorithm to Compute Epsilon-Equilibria of Discrete Colonel Blotto Games: Epsilon-Equilibria of Discrete Colonel Blotto Games.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
A Game-Theoretic Analysis of Adversarial Classification.
IEEE Trans. Inf. Forensics Secur., 2017

Cooperation and end-to-end in the Internet.
Int. J. Commun. Syst., 2017

Forgetting the Forgotten with Letheia, Concealing Content Deletion from Persistent Observers.
CoRR, 2017

A cooperative game-theoretic approach to quantify the value of personal data in networks.
Proceedings of the 12th workshop on the Economics of Networks, Systems and Computation, 2017

Towards Designing Cost-Optimal Policies to Utilize IaaS Clouds with Online Learning.
Proceedings of the 2017 International Conference on Cloud and Autonomic Computing, 2017

Identity vs. Attribute Disclosure Risks for Users with Multiple Social Profiles.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
A Causal Approach to the Study of TCP Performance.
ACM Trans. Intell. Syst. Technol., 2016

Simple Algorithms for Scheduling Monotonic Moldable Tasks.
CoRR, 2016

Regret-optimal Strategies for Playing Repeated Games with Discounted Losses.
CoRR, 2016

A study of the impact of DNS resolvers on CDN performance using a causal approach.
Comput. Networks, 2016

Dissecting demand response mechanisms: the role of consumption forecasts and personalized offers.
Proceedings of the 2016 American Control Conference, 2016

2015
Greedy and Dynamic Programming Algorithms for Scheduling Deadline-Sensitive Parallel Tasks.
CoRR, 2015

A Study of the Impact of DNS Resolvers on Performance Using a Causal Approach.
Proceedings of the 27th International Teletraffic Congress, 2015

On the Reliability of Profile Matching Across Large Online Social Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A Short Paper on the Incentives to Share Private Information for Population Estimates.
Proceedings of the Financial Cryptography and Data Security, 2015

A Game-Theoretic Study on Non-monetary Incentives in Data Analytics Projects with Privacy Implications.
Proceedings of the IEEE 28th Computer Security Foundations Symposium, 2015

Algorithms for scheduling deadline-sensitive malleable tasks.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Incentive Mechanisms for Internet Congestion Management: Fixed-Budget Rebate Versus Time-of-Day Pricing.
IEEE/ACM Trans. Netw., 2014

Special Issue on Pricing and Incentives in Networks and Systems: Guest Editors' Introduction.
ACM Trans. Internet Techn., 2014

The Joint Workshop on Pricing and Incentives in Networks and Systems (WPIN+NetEcon 2014).
SIGMETRICS Perform. Evaluation Rev., 2014

Causal study of Network Performance.
CoRR, 2014

The heterogeneous Colonel Blotto game.
Proceedings of the 7th International Conference on NETwork Games, COntrol and OPtimization, 2014

2013
Linear Regression as a Non-cooperative Game.
Proceedings of the Web and Internet Economics - 9th International Conference, 2013

2012
Dynamic Resource Management in Clouds: A Probabilistic Approach.
IEICE Trans. Commun., 2012

Un modèle de trafic adapté à la volatilité de charge d'un service de vidéo à la demande: Identification, validation et application à la gestion dynamique de ressources.
CoRR, 2012

Computing the Nash Equilibria of Intruder Classification Games.
Proceedings of the Decision and Game Theory for Security - Third International Conference, 2012

A game-theoretical approach for finding optimal strategies in an intruder classification game.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
On the impact of the flow size distribution's tail index on network performance with TCP connections.
SIGMETRICS Perform. Evaluation Rev., 2011

Congestion pricing using a raffle-based scheme.
Proceedings of the 5th International Conference on NETwork Games, COntrol and OPtimization, 2011

Incentive schemes for Internet congestion management: Raffles versus time-of-day pricing.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Investigating Self-Similarity and Heavy-Tailed Distributions on a Large-Scale Experimental Facility.
IEEE/ACM Trans. Netw., 2010

Modeling TCP throughput: An elaborated large-deviations-based model and its empirical validation.
Perform. Evaluation, 2010

2009
Contributions to the Analysis of Scaling Laws and Quality of Service in Networks: Experimental and Theoretical Aspects. (Contributions à l'analyse des lois d'échelles et de la qualité de service dans les réseaux : aspects expérimentaux et théoriques).
PhD thesis, 2009

Metroflux: A high performance system for analysing flow at very fine-grain.
Proceedings of the 5th International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 2009

Maximum likelihood estimation of the flow size distribution tail index from sampled packet data.
Proceedings of the Eleventh International Joint Conference on Measurement and Modeling of Computer Systems, 2009

2007
A comparative study of different heavy tail index estimators of the flow size from sampled data.
Proceedings of the 1st International ICST Conference on Networks for Grid Applications, 2007


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