Towards the Post-Ultimate libm. - Florent de Dinechin; Alexey V. Ershov; Nicolas Gast (IEEE Symposium on Computer Arithmetic, 2005)

Distributing Labels on Infinite Trees - Nicolas Gast; Bruno Gaujal (CoRR, 2008)

A mean field approach for optimization in particle systems and applications. - Nicolas Gast; Bruno Gaujal (VALUETOOLS, 2009)

A Mean Field Approach for Optimization in Particles Systems and Applications - Nicolas Gast; Bruno Gaujal (CoRR, 2009)

A Tighter Analysis of Work Stealing. - Marc Tchiboukdjian; Nicolas Gast; Denis Trystram; Jean-Louis Roch; Julien Bernard 001 (ISAAC (2), 2010)

A mean field model of work stealing in large-scale systems. - Nicolas Gast; Bruno Gaujal (SIGMETRICS, 2010)

Mean field limit of non-smooth systems and differential inclusions. - Nicolas Gast; Bruno Gaujal (SIGMETRICS Perform. Evaluation Rev., 2010)

Infinite labeled trees: From rational to Sturmian trees. - Nicolas Gast; Bruno Gaujal (Theor. Comput. Sci., 2010)

Optimization and Control of Large Systems: Fighting the Curse of Dimensionality. (Optimisation et contrôle de systèmes à grande échelle: comment combattre l'optimisation combinatoire). - Nicolas Gast (2010)

Computing hitting times via fluid approximation: application to the coupon collector problem - Nicolas Gast (CoRR, 2011)

A mean field approach for optimization in discrete time. - Nicolas Gast; Bruno Gaujal (Discret. Event Dyn. Syst., 2011)

Distributed Delay-Power Control Algorithms for Bandwidth Sharing in Wireless Networks. - François Baccelli; Nicholas Bambos; Nicolas Gast (IEEE/ACM Trans. Netw., 2011)

MPTCP is not pareto-optimal: performance issues and a possible solution. - Ramin Khalili; Nicolas Gast; Miroslav Popovic; Utkarsh Upadhyay; Jean-Yves Le Boudec (CoNEXT, 2012)

Markov chains with discontinuous drifts have differential inclusion limits. - Nicolas Gast; Bruno Gaujal (Perform. Evaluation, 2012)

Optimal storage policies with wind forecast uncertainties. - Nicolas Gast; Dan-Cristian Tomozei; Jean-Yves Le Boudec (SIGMETRICS Perform. Evaluation Rev., 2012)

Mean Field for Markov Decision Processes: From Discrete to Continuous Optimization. - Nicolas Gast; Bruno Gaujal; Jean-Yves Le Boudec (IEEE Trans. Autom. Control., 2012)

Impact of storage on the efficiency and prices in real-time electricity markets. - Nicolas Gast; Jean-Yves Le Boudec; Alexandre Proutière; Dan-Cristian Tomozei (e-Energy, 2013)

Decentralized list scheduling. - Marc Tchiboukdjian; Nicolas Gast; Denis Trystram (Ann. Oper. Res., 2013)

MPTCP Is Not Pareto-Optimal: Performance Issues and a Possible Solution. - Ramin Khalili; Nicolas Gast; Miroslav Popovic; Jean-Yves Le Boudec (IEEE/ACM Trans. Netw., 2013)

Impact of demand-response on the efficiency and prices in real-time electricity markets. - Nicolas Gast; Jean-Yves Le Boudec; Dan-Cristian Tomozei (e-Energy, 2014)

Optimal Generation and Storage Scheduling in the Presence of Renewable Forecast Uncertainties. - Nicolas Gast; Dan-Cristian Tomozei; Jean-Yves Le Boudec (IEEE Trans. Smart Grid, 2014)

Probabilistic Forecasts of Bike-Sharing Systems for Journey Planning. - Nicolas Gast; Guillaume Massonnet; Daniël Reijsbergen; Mirco Tribastone (CIKM, 2015)

The Power of Two Choices on Graphs: the Pair-Approximation is Accurate? - Nicolas Gast (SIGMETRICS Perform. Evaluation Rev., 2015)

Mean Field Approximation of Uncertain Stochastic Models. - Luca Bortolussi; Nicolas Gast (DSN, 2016)

Mean-Field Limits Beyond Ordinary Differential Equations. - Luca Bortolussi; Nicolas Gast (SFM, 2016)

Asymptotically Exact TTL-Approximations of the Cache Replacement Algorithms LRU(m) and h-LRU. - Nicolas Gast; Benny Van Houdt (ITC, 2016)

Incentives and redistribution in homogeneous bike-sharing systems with stations of finite capacity. - Christine Fricker; Nicolas Gast (EURO J. Transp. Logist., 2016)

Transient and steady-state regime of a family of list-based cache replacement algorithms. - Nicolas Gast; Benny Van Houdt (Queueing Syst. Theory Appl., 2016)

Are Mean-field Games the Limits of Finite Stochastic Games? - Josu Doncel; Nicolas Gast; Bruno Gaujal (SIGMETRICS Perform. Evaluation Rev., 2016)

Construction of Lyapunov Functions via Relative Entropy with Application to Caching. - Nicolas Gast (SIGMETRICS Perform. Evaluation Rev., 2016)

Expected Values Estimated via Mean-Field Approximation are 1/N-Accurate: Extended Abstract. - Nicolas Gast (SIGMETRICS (Abstracts), 2017)

TTL approximations of the cache replacement algorithms LRU(m) and h-LRU. - Nicolas Gast; Benny Van Houdt (Perform. Evaluation, 2017)

Expected Values Estimated via Mean-Field Approximation are 1/N-Accurate. - Nicolas Gast (Proc. ACM Meas. Anal. Comput. Syst., 2017)

A Refined Mean Field Approximation. - Nicolas Gast; Benny Van Houdt (Proc. ACM Meas. Anal. Comput. Syst., 2017)

A new analysis of Work Stealing with latency. - Nicolas Gast; Mohammed Khatiri; Denis Trystram; Frédéric Wagner (CoRR, 2018)

A refined mean field approximation of synchronous discrete-time population models. - Nicolas Gast; Diego Latella; Mieke Massink (Perform. Evaluation, 2018)

A Refined Mean Field Approximation for Synchronous Population Processes. - Nicolas Gast; Diego Latella; Mieke Massink (SIGMETRICS Perform. Evaluation Rev., 2018)

Congestion Avoidance in Low-Voltage Networks by using the Advanced Metering Infrastructure. - Benoît Vinot; Florent Cadoux; Nicolas Gast (SIGMETRICS Perform. Evaluation Rev., 2018)

The Price of Local Fairness in Multistage Selection. - Vitalii Emelianov 001; George Arvanitakis; Nicolas Gast; Krishna P. Gummadi; Patrick Loiseau (IJCAI, 2019)

UTOPIC: Under-Approximation Through Optimal Control. - Josu Doncel; Nicolas Gast; Mirco Tribastone; Max Tschaikowski; Andrea Vandin (QEST, 2019)

Size expansions of mean field approximation: Transient and steady-state analysis. - Nicolas Gast; Luca Bortolussi; Mirco Tribastone (Perform. Evaluation, 2019)

Refinements of Mean Field Approximation. (Raffinements de l'approximation champ moyen). - Nicolas Gast (2020)

Refined Mean Field Analysis: The Gossip Shuffle Protocol Revisited. - Nicolas Gast; Diego Latella; Mieke Massink (COORDINATION, 2020)

Vaccination in a Large Population: Mean Field Equilibrium Versus Social Optimum. - Josu Doncel; Nicolas Gast; Bruno Gaujal (NetGCooP, 2020)

On Fair Selection in the Presence of Implicit Variance. - Vitalii Emelianov 001; Nicolas Gast; Krishna P. Gummadi; Patrick Loiseau (EC, 2020)

Refined Mean Field Analysis of the Gossip Shuffle Protocol - extended version -. - Nicolas Gast; Diego Latella; Mieke Massink (CoRR, 2020)

Exponential Convergence Rate for the Asymptotic Optimality of Whittle Index Policy. - Nicolas Gast; Bruno Gaujal; Chen Yan 002 (CoRR, 2020)

Linear Regression from Strategic Data Sources. - Nicolas Gast; Stratis Ioannidis; Patrick Loiseau; Benjamin Roussillon (ACM Trans. Economics and Comput., 2020)

Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism? - Nicolas Gast; Bruno Gaujal; Kimang Khun (CoRR, 2021)

Analysis of Work Stealing with latency. - Nicolas Gast; Mohammed Khatiri; Denis Trystram; Frédéric Wagner (J. Parallel Distributed Comput., 2021)

Performance Analysis Methods for List-Based Caches With Non-Uniform Access. - Giuliano Casale; Nicolas Gast (IEEE/ACM Trans. Netw., 2021)

Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources. - Benjamin Roussillon; Nicolas Gast; Patrick Loiseau; Panayotis Mertikopoulos (ALT, 2022)

To Confine or Not to Confine: A Mean Field Game Analysis of the End of an Epidemic. - Gontzal Sagastabeitia; Josu Doncel; Nicolas Gast (PASM, 2022)

Fairness in Selection Problems with Strategic Candidates. - Vitalii Emelianov 001; Nicolas Gast; Patrick Loiseau (EC, 2022)

On fair selection in the presence of implicit and differential variance. - Vitalii Emelianov 001; Nicolas Gast; Krishna P. Gummadi; Patrick Loiseau (Artif. Intell., 2022)

Computing Whittle (and Gittins) Index in Subcubic Time. - Nicolas Gast; Bruno Gaujal; Kimang Khun (CoRR, 2022)

Mean Field and Refined Mean Field Approximations for Heterogeneous Systems: It Works! - Sebastian Allmeier; Nicolas Gast (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Why (and when) do asymptotic methods work so well? - Nicolas Gast (Queueing Syst. Theory Appl., 2022)

rmf tool - A library to Compute (Refined) Mean Field Approximation(s). - Sebastian Allmeier; Nicolas Gast (SIGMETRICS Perform. Evaluation Rev., 2022)

Special Issue on the Workshop about Reinforcement Learning in Networks and Queues (RLNQ 2021). - Nicolas Gast; Neil Walton (SIGMETRICS Perform. Evaluation Rev., 2022)

Learning Algorithms for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism? - Nicolas Gast; Bruno Gaujal; Kimang Khun (Trans. Mach. Learn. Res., 2022)

Decentralized Model-Free Reinforcement Learning in Stochastic Games with Average-Reward Objective. - Romain Cravic; Nicolas Gast; Bruno Gaujal (AAMAS, 2023)

Trading-off price for data quality to achieve fair online allocation. - Mathieu Molina; Nicolas Gast; Patrick Loiseau; Vianney Perchet (NeurIPS, 2023)

Exponential asymptotic optimality of Whittle index policy. - Nicolas Gast; Bruno Gaujal; Chen Yan 002 (Queueing Syst. Theory Appl., 2023)

Bias and Refinement of Multiscale Mean Field Models. - Sebastian Allmeier; Nicolas Gast (Proc. ACM Meas. Anal. Comput. Syst., 2023)

Testing indexability and computing Whittle and Gittins index in subcubic time. - Nicolas Gast; Bruno Gaujal; Kimang Khun (Math. Methods Oper. Res., 2023)

What is an Optimal Policy in Time-Average MDP? - Nicolas Gast; Bruno Gaujal; Kimang Khun (SIGMETRICS Perform. Evaluation Rev., 2023)

Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise. - Sebastian Allmeier; Nicolas Gast (NeurIPS, 2024)

Prophet Inequalities: Competing with the Top ℓ Items is Easy. - Mathieu Molina; Nicolas Gast; Patrick Loiseau; Vianney Perchet (CoRR, 2024)

Model Predictive Control is Almost Optimal for Restless Bandit. - Nicolas Gast; Dheeraj Narasimha (CoRR, 2024)

Linear Program-Based Policies for Restless Bandits: Necessary and Sufficient Conditions for (Exponentially Fast) Asymptotic Optimality. - Nicolas Gast; Bruno Gaujal; Chen Yan 002 (Math. Oper. Res., 2024)

Approximations to Study the Impact of the Service Discipline in Systems with Redundancy. - Nicolas Gast; Benny Van Houdt (Proc. ACM Meas. Anal. Comput. Syst., 2024)

Model predictive control is almost optimal for restless bandits. - Nicolas Gast; Dheeraj Narasimha (COLT, 2025)

Prophet Inequalities: Competing with the Top ℓ Items is Easy. - Mathieu Molina; Nicolas Gast; Patrick Loiseau; Vianney Perchet (SODA, 2025)

ACM SIGMETRICS 2024 Student Research Competition. - Nicolas Gast; Lishan Yang (SIGMETRICS Perform. Evaluation Rev., 2025)