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ORCIDNicolas Gast
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- affiliation: INRIA, Grenoble, France
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2020 – today
- 2024
[j37]Nicolas Gast
, Benny Van Houdt:
Approximations to Study the Impact of the Service Discipline in Systems with Redundancy. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 14:1-14:33 (2024)- [c27]Nicolas Gast, Benny Van Houdt:
Approximations to Study the Impact of the Service Discipline in Systems with Redundancy. SIGMETRICS/Performance (Abstracts) 2024: 1-2 - [i23]Nicolas Gast, Benny Van Houdt:
Approximations to Study the Impact of the Service Discipline in Systems with Redundancy. CoRR abs/2401.07713 (2024) - [i22]Sebastian Allmeier, Nicolas Gast:
Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise. CoRR abs/2405.14285 (2024) - [i21]Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet:
Prophet Inequalities: Competing with the Top ℓ Items is Easy. CoRR abs/2408.07616 (2024) - 2023
- [j36]Nicolas Gast, Bruno Gaujal, Kimang Khun:
Testing indexability and computing Whittle and Gittins index in subcubic time. Math. Methods Oper. Res. 97(3): 391-436 (2023) - [j35]Sebastian Allmeier, Nicolas Gast:
Bias and Refinement of Multiscale Mean Field Models. Proc. ACM Meas. Anal. Comput. Syst. 7(1): 23:1-23:29 (2023) - [j34]Nicolas Gast, Bruno Gaujal, Chen Yan:
Exponential asymptotic optimality of Whittle index policy. Queueing Syst. Theory Appl. 104(1-2): 107-150 (2023) - [j33]Nicolas Gast, Bruno Gaujal, Kimang Khun:
What is an Optimal Policy in Time-Average MDP? SIGMETRICS Perform. Evaluation Rev. 51(2): 30-32 (2023) - [c26]Romain Cravic, Nicolas Gast, Bruno Gaujal:
Decentralized Model-Free Reinforcement Learning in Stochastic Games with Average-Reward Objective. AAMAS 2023: 1230-1238 - [c25]Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet:
Trading-off price for data quality to achieve fair online allocation. NeurIPS 2023 - [c24]Sebastian Allmeier, Nicolas Gast:
Bias and Refinement of Multiscale Mean Field Models. SIGMETRICS (Abstracts) 2023: 29-30 - [i20]Romain Cravic, Nicolas Gast, Bruno Gaujal:
Decentralized model-free reinforcement learning in stochastic games with average-reward objective. CoRR abs/2301.05630 (2023) - [i19]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
- [j32]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) - [j31]Sebastian Allmeier, Nicolas Gast:
Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works! Proc. ACM Meas. Anal. Comput. Syst. 6(1): 13:1-13:43 (2022) - [j30]Nicolas Gast:
Why (and when) do asymptotic methods work so well? Queueing Syst. Theory Appl. 100(3-4): 297-299 (2022) - [j29]Nicolas Gast, Neil Walton:
Special Issue on the Workshop about Reinforcement Learning in Networks and Queues (RLNQ 2021). SIGMETRICS Perform. Evaluation Rev. 49(2): 42 (2022) - [j28]Sebastian Allmeier, Nicolas Gast:
rmf tool - A library to Compute (Refined) Mean Field Approximation(s). SIGMETRICS Perform. Evaluation Rev. 49(4): 35-40 (2022) - [j27]Nicolas Gast, Bruno Gaujal, Kimang Khun:
Learning Algorithms for Markovian Bandits:\\Is Posterior Sampling more Scalable than Optimism? Trans. Mach. Learn. Res. 2022 (2022) - [c23]Benjamin Roussillon, Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos:
Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources. ALT 2022: 931-967 - [c22]Gontzal Sagastabeitia, Josu Doncel, Nicolas Gast:
To Confine or Not to Confine: A Mean Field Game Analysis of the End of an Epidemic. PASM 2022: 61-80 - [c21]Vitalii Emelianov, Nicolas Gast, Patrick Loiseau:
Fairness in Selection Problems with Strategic Candidates. EC 2022: 375-403 - [c20]Sebastian Allmeier, Nicolas Gast:
Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works! SIGMETRICS (Abstracts) 2022: 103-104 - [i18]Nicolas Gast, Bruno Gaujal, Kimang Khun:
Computing Whittle (and Gittins) Index in Subcubic Time. CoRR abs/2203.05207 (2022) - [i17]Vitalii Emelianov, Nicolas Gast, Patrick Loiseau:
Fairness in Selection Problems with Strategic Candidates. CoRR abs/2205.12204 (2022) - [i16]Sebastian Allmeier, Nicolas Gast:
Bias and Refinement of Multiscale Mean Field Models. CoRR abs/2211.11382 (2022) - 2021
- [j26]Nicolas Gast, Mohammed Khatiri, Denis Trystram, Frédéric Wagner:
Analysis of Work Stealing with latency. J. Parallel Distributed Comput. 153: 119-129 (2021) - [j25]Giuliano Casale, Nicolas Gast:
Performance Analysis Methods for List-Based Caches With Non-Uniform Access. IEEE/ACM Trans. Netw. 29(2): 651-664 (2021) - [i15]Nicolas Gast, Bruno Gaujal, Kimang Khun:
Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism? CoRR abs/2106.08771 (2021) - [i14]Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos, Benjamin Roussillon:
Asymptotic Degradation of Linear Regression Estimates With Strategic Data Sources. CoRR abs/2106.14636 (2021) - [i13]Sebastian Allmeier, Nicolas Gast:
Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works! CoRR abs/2111.01594 (2021) - [i12]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
- [b2]Nicolas Gast:
Refinements of Mean Field Approximation. (Raffinements de l'approximation champ moyen). Grenoble Alpes University, France, 2020 - [j24]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) - [c19]Nicolas Gast, Diego Latella, Mieke Massink:
Refined Mean Field Analysis: The Gossip Shuffle Protocol Revisited. COORDINATION 2020: 230-239 - [c18]Josu Doncel, Nicolas Gast, Bruno Gaujal:
Vaccination in a Large Population: Mean Field Equilibrium Versus Social Optimum. NetGCooP 2020: 51-59 - [c17]Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On Fair Selection in the Presence of Implicit Variance. EC 2020: 649-675 - [i11]Nicolas Gast, Diego Latella, Mieke Massink:
Refined Mean Field Analysis of the Gossip Shuffle Protocol - extended version -. CoRR abs/2004.07519 (2020) - [i10]Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
On Fair Selection in the Presence of Implicit Variance. CoRR abs/2006.13699 (2020) - [i9]Nicolas Gast, Bruno Gaujal, Chen Yan:
Exponential Convergence Rate for the Asymptotic Optimality of Whittle Index Policy. CoRR abs/2012.09064 (2020)
2010 – 2019
- 2019
- [j23]Nicolas Gast, Luca Bortolussi, Mirco Tribastone:
Size expansions of mean field approximation: Transient and steady-state analysis. Perform. Evaluation 129: 60-80 (2019) - [c16]Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
The Price of Local Fairness in Multistage Selection. IJCAI 2019: 5836-5842 - [c15]Josu Doncel, Nicolas Gast, Mirco Tribastone, Max Tschaikowski, Andrea Vandin:
UTOPIC: Under-Approximation Through Optimal Control. QEST 2019: 277-291 - [i8]Vitalii Emelianov, George Arvanitakis, Nicolas Gast, Krishna P. Gummadi, Patrick Loiseau:
The Price of Local Fairness in Multistage Selection. CoRR abs/1906.06613 (2019) - 2018
- [j22]Nicolas Gast, Diego Latella, Mieke Massink:
A refined mean field approximation of synchronous discrete-time population models. Perform. Evaluation 126: 1-21 (2018) - [j21]Nicolas Gast, Diego Latella, Mieke Massink:
A Refined Mean Field Approximation for Synchronous Population Processes. SIGMETRICS Perform. Evaluation Rev. 46(2): 30-32 (2018) - [j20]Nicolas Gast, Luca Bortolussi, Mirco Tribastone:
Size Expansions of Mean Field Approximation: Transient and Steady-State Analysis. SIGMETRICS Perform. Evaluation Rev. 46(3): 25-26 (2018) - [j19]Benoît Vinot, Florent Cadoux, Nicolas Gast:
Congestion Avoidance in Low-Voltage Networks by using the Advanced Metering Infrastructure. SIGMETRICS Perform. Evaluation Rev. 46(3): 89-91 (2018) - [c14]Nicolas Gast, Benny Van Houdt:
A Refined Mean Field Approximation. SIGMETRICS (Abstracts) 2018: 113 - [i7]Nicolas Gast, Mohammed Khatiri, Denis Trystram, Frédéric Wagner:
A new analysis of Work Stealing with latency. CoRR abs/1805.00857 (2018) - [i6]Nicolas Gast, Diego Latella, Mieke Massink:
A refined mean field approximation of synchronous discrete-time population models. CoRR abs/1807.08585 (2018) - 2017
- [j18]Nicolas Gast, Benny Van Houdt:
TTL approximations of the cache replacement algorithms LRU(m) and h-LRU. Perform. Evaluation 117: 33-57 (2017) - [j17]Nicolas Gast:
Expected Values Estimated via Mean-Field Approximation are 1/N-Accurate. Proc. ACM Meas. Anal. Comput. Syst. 1(1): 17:1-17:26 (2017) - [j16]Nicolas Gast, Benny Van Houdt:
A Refined Mean Field Approximation. Proc. ACM Meas. Anal. Comput. Syst. 1(2): 33:1-33:28 (2017) - [c13]Nicolas Gast:
Expected Values Estimated via Mean-Field Approximation are 1/N-Accurate: Extended Abstract. SIGMETRICS (Abstracts) 2017: 50 - 2016
- [j15]Christine Fricker, Nicolas Gast:
Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity. EURO J. Transp. Logist. 5(3): 261-291 (2016) - [j14]Nicolas Gast, Benny Van Houdt:
Transient and steady-state regime of a family of list-based cache replacement algorithms. Queueing Syst. Theory Appl. 83(3-4): 293-328 (2016) - [j13]Nicolas Gast:
Construction of Lyapunov Functions via Relative Entropy with Application to Caching. SIGMETRICS Perform. Evaluation Rev. 44(2): 6-8 (2016) - [j12]Josu Doncel, Nicolas Gast, Bruno Gaujal:
Are Mean-field Games the Limits of Finite Stochastic Games? SIGMETRICS Perform. Evaluation Rev. 44(2): 18-20 (2016) - [c12]Luca Bortolussi, Nicolas Gast:
Mean Field Approximation of Uncertain Stochastic Models. DSN 2016: 287-298 - [c11]Luca Bortolussi, Nicolas Gast:
Mean-Field Limits Beyond Ordinary Differential Equations. SFM 2016: 61-82 - [c10]Nicolas Gast, Benny Van Houdt:
Asymptotically Exact TTL-Approximations of the Cache Replacement Algorithms LRU(m) and h-LRU. ITC 2016: 157-165 - 2015
- [j11]Nicolas Gast:
The Power of Two Choices on Graphs: the Pair-Approximation is Accurate? SIGMETRICS Perform. Evaluation Rev. 43(2): 69-71 (2015) - [c9]Nicolas Gast, Guillaume Massonnet, Daniël Reijsbergen, Mirco Tribastone:
Probabilistic Forecasts of Bike-Sharing Systems for Journey Planning. CIKM 2015: 703-712 - [c8]Nicolas Gast, Benny Van Houdt:
Transient and Steady-state Regime of a Family of List-based Cache Replacement Algorithms. SIGMETRICS 2015: 123-136 - 2014
- [j10]Nicolas Gast, Dan-Cristian Tomozei, Jean-Yves Le Boudec:
Optimal Generation and Storage Scheduling in the Presence of Renewable Forecast Uncertainties. IEEE Trans. Smart Grid 5(3): 1328-1339 (2014) - [c7]Nicolas Gast, Jean-Yves Le Boudec, Dan-Cristian Tomozei:
Impact of demand-response on the efficiency and prices in real-time electricity markets. e-Energy 2014: 171-182 - 2013
- [j9]Marc Tchiboukdjian, Nicolas Gast, Denis Trystram:
Decentralized list scheduling. Ann. Oper. Res. 207(1): 237-259 (2013) - [j8]Ramin Khalili, Nicolas Gast, Miroslav Popovic, Jean-Yves Le Boudec:
MPTCP Is Not Pareto-Optimal: Performance Issues and a Possible Solution. IEEE/ACM Trans. Netw. 21(5): 1651-1665 (2013) - [c6]Nicolas Gast, Jean-Yves Le Boudec, Alexandre Proutière, Dan-Cristian Tomozei:
Impact of storage on the efficiency and prices in real-time electricity markets. e-Energy 2013: 15-26 - 2012
- [j7]Nicolas Gast, Bruno Gaujal:
Markov chains with discontinuous drifts have differential inclusion limits. Perform. Evaluation 69(12): 623-642 (2012) - [j6]Nicolas Gast, Dan-Cristian Tomozei, Jean-Yves Le Boudec:
Optimal storage policies with wind forecast uncertainties. SIGMETRICS Perform. Evaluation Rev. 40(3): 28-32 (2012) - [j5]Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec:
Mean Field for Markov Decision Processes: From Discrete to Continuous Optimization. IEEE Trans. Autom. Control. 57(9): 2266-2280 (2012) - [c5]Ramin Khalili, Nicolas Gast, Miroslav Popovic, Utkarsh Upadhyay, Jean-Yves Le Boudec:
MPTCP is not pareto-optimal: performance issues and a possible solution. CoNEXT 2012: 1-12 - 2011
- [j4]Nicolas Gast, Bruno Gaujal:
A mean field approach for optimization in discrete time. Discret. Event Dyn. Syst. 21(1): 63-101 (2011) - [j3]François Baccelli, Nicholas Bambos, Nicolas Gast:
Distributed Delay-Power Control Algorithms for Bandwidth Sharing in Wireless Networks. IEEE/ACM Trans. Netw. 19(5): 1458-1471 (2011) - [i5]Nicolas Gast:
Computing hitting times via fluid approximation: application to the coupon collector problem. CoRR abs/1107.3385 (2011) - [i4]Marc Tchiboukdjian, Nicolas Gast, Denis Trystram:
Decentralized List Scheduling. CoRR abs/1107.3734 (2011) - 2010
- [b1]Nicolas Gast:
Optimization and Control of Large Systems: Fighting the Curse of Dimensionality. (Optimisation et contrôle de systèmes à grande échelle: comment combattre l'optimisation combinatoire). Grenoble Alpes University, France, 2010 - [j2]Nicolas Gast, Bruno Gaujal:
Mean field limit of non-smooth systems and differential inclusions. SIGMETRICS Perform. Evaluation Rev. 38(2): 30-32 (2010) - [j1]Nicolas Gast, Bruno Gaujal:
Infinite labeled trees: From rational to Sturmian trees. Theor. Comput. Sci. 411(7-9): 1146-1166 (2010) - [c4]Marc Tchiboukdjian, Nicolas Gast, Denis Trystram, Jean-Louis Roch, Julien Bernard:
A Tighter Analysis of Work Stealing. ISAAC (2) 2010: 291-302 - [c3]Nicolas Gast, Bruno Gaujal:
A mean field model of work stealing in large-scale systems. SIGMETRICS 2010: 13-24 - [i3]Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec:
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization. CoRR abs/1004.2342 (2010)
2000 – 2009
- 2009
- [c2]Nicolas Gast, Bruno Gaujal:
A mean field approach for optimization in particle systems and applications. VALUETOOLS 2009: 39 - [i2]Nicolas Gast, Bruno Gaujal:
A Mean Field Approach for Optimization in Particles Systems and Applications. CoRR abs/0903.2352 (2009) - 2008
- [i1]Nicolas Gast, Bruno Gaujal:
Distributing Labels on Infinite Trees. CoRR abs/0809.1989 (2008) - 2005
- [c1]Florent de Dinechin, Alexey V. Ershov, Nicolas Gast:
Towards the Post-Ultimate libm. IEEE Symposium on Computer Arithmetic 2005: 288-295
Coauthor Index
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