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2020 – today
- 2024
[j20]Vijay Kamble
, Patrick Loiseau, Jean C. Walrand:
An Approximate Dynamic Programming Approach to Repeated Games with Vector Losses. Oper. Res. 72(1): 373-388 (2024)- [j19]Xiaohu Wu, Patrick Loiseau:
Algorithms for Scheduling Deadline-Sensitive Malleable Tasks. Oper. Res. Forum 5(2): 30 (2024) - [i38]Rémi Castera, Felipe Garrido-Lucero, Mathieu Molina, Simon Mauras, Patrick Loiseau, Vianney Perchet:
The Price of Fairness in Bipartite Matching. CoRR abs/2403.00397 (2024) - [i37]Simon Finster, Patrick Loiseau, Simon Mauras, Mathieu Molina, Bary S. R. Pradelski:
Equitable Pricing in Auctions. CoRR abs/2403.07799 (2024) - [i36]Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet:
Prophet Inequalities: Competing with the Top ℓ Items is Easy. CoRR abs/2408.07616 (2024) - 2023
- [j18]Xiaohu Wu, Patrick Loiseau:
Efficient approximation algorithms for scheduling moldable tasks. Eur. J. Oper. Res. 310(1): 71-83 (2023) - [c42]Johnnatan Messias, Vabuk Pahari, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau:
Dissecting Bitcoin and Ethereum Transactions: On the Lack of Transaction Contention and Prioritization Transparency in Blockchains. FC 2023: 221-240 - [c41]Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet:
Trading-off price for data quality to achieve fair online allocation. NeurIPS 2023 - [c40]Eleni Gkiouzepi, Athanasios Andreou, Oana Goga, Patrick Loiseau:
Collaborative Ad Transparency: Promises and Limitations. SP 2023: 2639-2657 - [i35]Johnnatan Messias, Vabuk Pahari, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau:
Dissecting Bitcoin and Ethereum Transactions: On the Lack of Transaction Contention and Prioritization Transparency in Blockchains. CoRR abs/2302.06962 (2023) - [i34]Johnnatan Messias, Vabuk Pahari, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau:
Understanding Blockchain Governance: Analyzing Decentralized Voting to Amend DeFi Smart Contracts. CoRR abs/2305.17655 (2023) - [i33]Felipe Garrido-Lucero, Benjamin Heymann, Maxime Vono, Patrick Loiseau, Vianney Perchet:
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation. CoRR abs/2306.02071 (2023) - [i32]Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet:
Trading-off price for data quality to achieve fair online allocation. CoRR abs/2306.13440 (2023) - 2022
- [j17]Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On fair selection in the presence of implicit and differential variance. Artif. Intell. 302: 103609 (2022) - [c39]Benjamin Roussillon, Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos:
Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources. ALT 2022: 931-967 - [c38]Mathieu Molina, Patrick Loiseau:
Bounding and Approximating Intersectional Fairness through Marginal Fairness. NeurIPS 2022 - [c37]Rémi Castera, Patrick Loiseau, Bary S. R. Pradelski:
Statistical Discrimination in Stable Matchings. EC 2022: 373-374 - [c36]Vitalii Emelianov, Nicolas Gast, Patrick Loiseau:
Fairness in Selection Problems with Strategic Candidates. EC 2022: 375-403 - [c35]Till Kletti, Jean-Michel Renders, Patrick Loiseau:
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model. SIGIR 2022: 748-758 - [c34]Till Kletti, Jean-Michel Renders, Patrick Loiseau:
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings. WSDM 2022: 498-507 - [i31]Till Kletti, Jean-Michel Renders, Patrick Loiseau:
Introducing the Expohedron for Efficient Pareto-optimal Fairness-Utility Amortizations in Repeated Rankings. CoRR abs/2202.03237 (2022) - [i30]Till Kletti, Jean-Michel Renders, Patrick Loiseau:
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model. CoRR abs/2205.07647 (2022) - [i29]Vitalii Emelianov, Nicolas Gast, Patrick Loiseau:
Fairness in Selection Problems with Strategic Candidates. CoRR abs/2205.12204 (2022) - [i28]Mathieu Molina, Patrick Loiseau:
Bounding and Approximating Intersectional Fairness through Marginal Fairness. CoRR abs/2206.05828 (2022) - 2021
- [c33]Benjamin Roussillon, Patrick Loiseau:
Scalable Optimal Classifiers for Adversarial Settings Under Uncertainty. GameSec 2021: 80-97 - [c32]Johnnatan Messias, Mohamed Alzayat, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove:
Selfish & opaque transaction ordering in the Bitcoin blockchain: the case for chain neutrality. Internet Measurement Conference 2021: 320-335 - [c31]Dong Quan Vu, Patrick Loiseau:
Colonel Blotto Games with Favoritism: Competitions with Pre-allocations and Asymmetric Effectiveness. EC 2021: 862-863 - [i27]Dong Quan Vu, Patrick Loiseau:
Colonel Blotto Games with Favoritism: Competitions with Pre-allocations and Asymmetric Effectiveness. CoRR abs/2106.00617 (2021) - [i26]Mohamed Alzayat, Johnnatan Messias, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau:
Modeling Coordinated vs. P2P Mining: An Analysis of Inefficiency and Inequality in Proof-of-Work Blockchains. CoRR abs/2106.02970 (2021) - [i25]Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos, Benjamin Roussillon:
Asymptotic Degradation of Linear Regression Estimates With Strategic Data Sources. CoRR abs/2106.14636 (2021) - [i24]Patrick Loiseau, Benjamin Roussillon:
Scalable Optimal Classifiers for Adversarial Settings under Uncertainty. CoRR abs/2106.14702 (2021) - [i23]Johnnatan Messias, Mohamed Alzayat, Balakrishnan Chandrasekaran, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove:
Selfish & Opaque Transaction Ordering in the Bitcoin Blockchain: The Case for Chain Neutrality. CoRR abs/2110.11740 (2021) - [i22]Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On Fair Selection in the Presence of Implicit and Differential Variance. CoRR abs/2112.05630 (2021) - 2020
- [j16]Remy Kusters, Dusan Misevic, Hugues Berry, Antoine Cully, Yann Le Cunff, Loic Dandoy, Natalia Díaz Rodríguez, Marion Ficher, Jonathan Grizou, Alice Othmani, Themis Palpanas, Matthieu Komorowski, Patrick Loiseau, Clément Moulin-Frier, Santino Nanini, Daniele Quercia, Michèle Sebag, Françoise Fogelman-Soulié, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie, Fatima Wehbi:
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. Frontiers Big Data 3: 577974 (2020) - [j15]Nicolas Gast, Stratis Ioannidis, Patrick Loiseau, Benjamin Roussillon:
Linear Regression from Strategic Data Sources. ACM Trans. Economics and Comput. 8(2): 10:1-10:24 (2020) - [j14]Xiaohu Wu, Patrick Loiseau, Esa Hyytiä:
Toward Designing Cost-Optimal Policies to Utilize IaaS Clouds with Online Learning. IEEE Trans. Parallel Distributed Syst. 31(3): 501-514 (2020) - [c30]Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh:
Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek. AAAI 2020: 2252-2259 - [c29]Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On Fair Selection in the Presence of Implicit Variance. EC 2020: 649-675 - [i21]Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On Fair Selection in the Presence of Implicit Variance. CoRR abs/2006.13699 (2020)
2010 – 2019
- 2019
- [j13]Mohsen Minaei, Mainack Mondal, Patrick Loiseau, Krishna P. Gummadi, Aniket Kate:
Lethe: Conceal Content Deletion from Persistent Observers. Proc. Priv. Enhancing Technol. 2019(1): 206-226 (2019) - [c28]Dong Quan Vu, Patrick Loiseau, Alonso Silva:
Combinatorial Bandits for Sequential Learning in Colonel Blotto Games. CDC 2019: 867-872 - [c27]Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau:
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. FAT 2019: 129-138 - [c26]Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
The Price of Local Fairness in Multistage Selection. IJCAI 2019: 5836-5842 - [c25]Athanasios Andreou, Márcio Silva, Fabrício Benevenuto, Oana Goga, Patrick Loiseau, Alan Mislove:
Measuring the Facebook Advertising Ecosystem. NDSS 2019 - [c24]Sarath Yasodharan, Patrick Loiseau:
Nonzero-sum Adversarial Hypothesis Testing Games. NeurIPS 2019: 7310-7320 - [i20]Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh:
Colonel Blotto Games and Hide-and-Seek Games as Path Planning Problems with Side Observations. CoRR abs/1905.11151 (2019) - [i19]Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
The Price of Local Fairness in Multistage Selection. CoRR abs/1906.06613 (2019) - [i18]Dong Quan Vu, Patrick Loiseau, Alonso Silva:
Combinatorial Bandits for Sequential Learning in Colonel Blotto Games. CoRR abs/1909.04912 (2019) - [i17]Sarath Yasodharan, Patrick Loiseau:
Nonzero-sum Adversarial Hypothesis Testing Games. CoRR abs/1909.13031 (2019) - [i16]Dong Quan Vu, Patrick Loiseau, Alonso Silva:
Approximate Equilibria in Non-constant-sum Colonel Blotto and Lottery Blotto Games with Large Numbers of Battlefields. CoRR abs/1910.06559 (2019) - 2018
- [j12]Rainer Böhme, Richard Clayton, Jens Grossklags, Katrina Ligett, Patrick Loiseau, Galina Schwartz:
Special Issue on the Economics of Security and Privacy: Guest Editors' Introduction. ACM Trans. Internet Techn. 18(4): 47:1-47:3 (2018) - [c23]Dong Quan Vu, Patrick Loiseau, Alonso Silva:
A Simple and Efficient Algorithm to Compute Epsilon-Equilibria of Discrete Colonel Blotto Games: Epsilon-Equilibria of Discrete Colonel Blotto Games. AAMAS 2018: 2115-2117 - [c22]Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Nunes Ribeiro, George Arvanitakis, Fabrício Benevenuto, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove:
Potential for Discrimination in Online Targeted Advertising. FAT 2018: 5-19 - [c21]Dong Quan Vu, Patrick Loiseau, Alonso Silva:
Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games. IJCAI 2018: 519-526 - [c20]Athanasios Andreou, Giridhari Venkatadri, Oana Goga, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove:
Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebooks Explanations. NDSS 2018 - [c19]Giridhari Venkatadri, Athanasios Andreou, Yabing Liu, Alan Mislove, Krishna P. Gummadi, Patrick Loiseau, Oana Goga:
Privacy Risks with Facebook's PII-Based Targeting: Auditing a Data Broker's Advertising Interface. IEEE Symposium on Security and Privacy 2018: 89-107 - [i15]Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau:
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. CoRR abs/1811.08690 (2018) - 2017
- [j11]Raimo Kantola, Hammad Kabir, Patrick Loiseau:
Cooperation and end-to-end in the Internet. Int. J. Commun. Syst. 30(12) (2017) - [j10]Lemonia Dritsoula, Patrick Loiseau, John Musacchio:
A Game-Theoretic Analysis of Adversarial Classification. IEEE Trans. Inf. Forensics Secur. 12(12): 3094-3109 (2017) - [c18]Athanasios Andreou, Oana Goga, Patrick Loiseau:
Identity vs. Attribute Disclosure Risks for Users with Multiple Social Profiles. ASONAM 2017: 163-170 - [c17]Xiaohu Wu, Patrick Loiseau, Esa Hyytiä:
Towards Designing Cost-Optimal Policies to Utilize IaaS Clouds with Online Learning. ICCAC 2017: 160-171 - [c16]Michela Chessa, Patrick Loiseau:
A cooperative game-theoretic approach to quantify the value of personal data in networks. NetEcon@EC 2017: 9:1 - [i14]Mohsen Minaei, Mainack Mondal, Patrick Loiseau, Krishna P. Gummadi, Aniket Kate:
Forgetting the Forgotten with Letheia, Concealing Content Deletion from Persistent Observers. CoRR abs/1710.11271 (2017) - 2016
- [j9]Hadrien Hours, Ernst W. Biersack, Patrick Loiseau, Alessandro Finamore, Marco Mellia:
A study of the impact of DNS resolvers on CDN performance using a causal approach. Comput. Networks 109: 200-210 (2016) - [j8]Hadrien Hours, Ernst W. Biersack, Patrick Loiseau:
A Causal Approach to the Study of TCP Performance. ACM Trans. Intell. Syst. Technol. 7(2): 25:1-25:25 (2016) - [c15]Alberto Benegiamo, Patrick Loiseau, Giovanni Neglia:
Dissecting demand response mechanisms: the role of consumption forecasts and personalized offers. ACC 2016: 3225-3230 - [i13]Vijay Kamble, Patrick Loiseau, Jean C. Walrand:
Regret-optimal Strategies for Playing Repeated Games with Discounted Losses. CoRR abs/1603.04981 (2016) - [i12]Patrick Loiseau, Xiaohu Wu:
Simple Algorithms for Scheduling Monotonic Moldable Tasks. CoRR abs/1609.08588 (2016) - [i11]Lemonia Dritsoula, Patrick Loiseau, John Musacchio:
A Game-Theoretic Analysis of Adversarial Classification. CoRR abs/1610.04972 (2016) - [i10]Alberto Benegiamo, Patrick Loiseau, Giovanni Neglia:
Dissecting demand response mechanisms: the role of consumption forecasts and personalized offers. CoRR abs/1612.04721 (2016) - 2015
- [c14]Xiaohu Wu, Patrick Loiseau:
Algorithms for scheduling deadline-sensitive malleable tasks. Allerton 2015: 530-537 - [c13]Michela Chessa, Jens Grossklags, Patrick Loiseau:
A Game-Theoretic Study on Non-monetary Incentives in Data Analytics Projects with Privacy Implications. CSF 2015: 90-104 - [c12]Michela Chessa, Jens Grossklags, Patrick Loiseau:
A Short Paper on the Incentives to Share Private Information for Population Estimates. Financial Cryptography 2015: 427-436 - [c11]Oana Goga, Patrick Loiseau, Robin Sommer, Renata Teixeira, Krishna P. Gummadi:
On the Reliability of Profile Matching Across Large Online Social Networks. KDD 2015: 1799-1808 - [c10]Hadrien Hours, Ernst W. Biersack, Patrick Loiseau, Alessandro Finamore, Marco Mellia:
A Study of the Impact of DNS Resolvers on Performance Using a Causal Approach. ITC 2015: 10-18 - [i9]Patrick Loiseau, Xiaohu Wu:
Greedy and Dynamic Programming Algorithms for Scheduling Deadline-Sensitive Parallel Tasks. CoRR abs/1501.04343 (2015) - [i8]Michela Chessa, Jens Grossklags, Patrick Loiseau:
A Game-Theoretic Study on Non-Monetary Incentives in Data Analytics Projects with Privacy Implications. CoRR abs/1505.02414 (2015) - [i7]Oana Goga, Patrick Loiseau, Robin Sommer, Renata Teixeira, Krishna P. Gummadi:
On the Reliability of Profile Matching Across Large Online Social Networks. CoRR abs/1506.02289 (2015) - 2014
- [j7]John Chuang, Patrick Loiseau:
The Joint Workshop on Pricing and Incentives in Networks and Systems (WPIN+NetEcon 2014). SIGMETRICS Perform. Evaluation Rev. 42(3): 2-3 (2014) - [j6]Costas Courcoubetis, Roch Guérin, Patrick Loiseau, David C. Parkes, Jean C. Walrand, Adam Wierman:
Special Issue on Pricing and Incentives in Networks and Systems: Guest Editors' Introduction. ACM Trans. Internet Techn. 14(2-3): 8:1-8:3 (2014) - [j5]Patrick Loiseau, Galina Schwartz, John Musacchio, Saurabh Amin, S. Shankar Sastry:
Incentive Mechanisms for Internet Congestion Management: Fixed-Budget Rebate Versus Time-of-Day Pricing. IEEE/ACM Trans. Netw. 22(2): 647-661 (2014) - [c9]Galina Schwartz, Patrick Loiseau, Shankar S. Sastry:
The heterogeneous Colonel Blotto game. NetGCooP 2014: 232-238 - [i6]Hadrien Hours, Ernst W. Biersack, Patrick Loiseau:
Causal study of Network Performance. CoRR abs/1404.5481 (2014) - 2013
- [c8]Stratis Ioannidis, Patrick Loiseau:
Linear Regression as a Non-cooperative Game. WINE 2013: 277-290 - [i5]Patrick Loiseau, Galina Schwartz, John Musacchio, Saurabh Amin, S. Shankar Sastry:
Incentive Mechanisms for Internet Congestion Management: Fixed-Budget Rebate versus Time-of-Day Pricing. CoRR abs/1305.6971 (2013) - [i4]Stratis Ioannidis, Patrick Loiseau:
Linear Regression as a Non-Cooperative Game. CoRR abs/1309.7824 (2013) - 2012
- [j4]Paulo Gonçalves, Shubhabrata Roy, Thomas Begin, Patrick Loiseau:
Dynamic Resource Management in Clouds: A Probabilistic Approach. IEICE Trans. Commun. 95-B(8): 2522-2529 (2012) - [c7]Lemonia Dritsoula, Patrick Loiseau, John Musacchio:
A game-theoretical approach for finding optimal strategies in an intruder classification game. CDC 2012: 7744-7751 - [c6]Lemonia Dritsoula, Patrick Loiseau, John Musacchio:
Computing the Nash Equilibria of Intruder Classification Games. GameSec 2012: 78-97 - [i3]Lemonia Dritsoula, Patrick Loiseau, John Musacchio:
A Game-Theoretical Approach for Finding Optimal Strategies in an Intruder Classification Game. CoRR abs/1207.0745 (2012) - [i2]Paulo Gonçalves, Shubhabrata Roy, Thomas Begin, Patrick Loiseau:
Dynamic Resource Management in Clouds: A Probabilistic Approach. CoRR abs/1209.4806 (2012) - [i1]Shubhabrata Roy, Thomas Begin, Patrick Loiseau, Paulo Gonçalves:
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 abs/1209.5158 (2012) - 2011
- [j3]Oana Goga, Patrick Loiseau, Paulo Gonçalves:
On the impact of the flow size distribution's tail index on network performance with TCP connections. SIGMETRICS Perform. Evaluation Rev. 39(2): 62-64 (2011) - [c5]Patrick Loiseau, Galina Schwartz, John Musacchio, Saurabh Amin:
Incentive schemes for Internet congestion management: Raffles versus time-of-day pricing. Allerton 2011: 103-110 - [c4]Patrick Loiseau, Galina A. Schwartz, John Musacchio, Saurabh Amin, S. Shankar Sastry:
Congestion pricing using a raffle-based scheme. NetGCoop 2011: 1-8 - 2010
- [j2]Patrick Loiseau, Paulo Gonçalves, Julien Barral, Pascale Vicat-Blanc Primet:
Modeling TCP throughput: An elaborated large-deviations-based model and its empirical validation. Perform. Evaluation 67(11): 1030-1043 (2010) - [j1]Patrick Loiseau, Paulo Gonçalves, Guillaume Dewaele, Pierre Borgnat, Patrice Abry, Pascale Vicat-Primet:
Investigating Self-Similarity and Heavy-Tailed Distributions on a Large-Scale Experimental Facility. IEEE/ACM Trans. Netw. 18(4): 1261-1274 (2010)
2000 – 2009
- 2009
- [b1]Patrick Loiseau:
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). École normale supérieure de Lyon, France, 2009 - [c3]Patrick Loiseau, Paulo Gonçalves, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet:
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data. SIGMETRICS/Performance 2009: 263-274 - [c2]Patrick Loiseau, Paulo Gonçalves, Romaric Guillier, Matthieu Imbert, Yuetsu Kodama, Pascale Vicat-Blanc Primet:
Metroflux: A high performance system for analysing flow at very fine-grain. TRIDENTCOM 2009: 1-9 - 2007
- [c1]Patrick Loiseau, Paulo Gonçalves, Pascale Vicat-Blanc Primet:
A comparative study of different heavy tail index estimators of the flow size from sampled data. GridNets 2007: 25
Coauthor Index
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