Institution

Centre de Recherche en Mathématiques de la Décision

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Recent research

  • AI & ComputingOpen access

    Faster Hamiltonian Monte Carlo by learning leapfrog scale: an offline randomized solution

    Abstract We introduce a Hamiltonian Monte Carlo (HMC) methodology based on an offline empirical calibration of randomized leapfrog parameters. The approach, referred to as eHMC, where e stands for empirical, leverages importance sampling to construct an empirical distribution on...

    Statistics and Computing2026-09-2313 citationsDOI
  • Health & Medicine

    Atenolol or Bisoprolol after Myocardial Infarction without Recorded Heart Failure

    BACKGROUND: Beta-blockers are a cornerstone of therapy following myocardial infarction. The effect of different β-blockers on the outcomes of patients without heart failure after myocardial infarction is not well-studied. METHODS: This observational cohort study used administrati...

    NEJM Evidence2026-09-221 citationsDOI
  • Physics & SpaceOpen access

    Swarming by curvature control in arbitrary dimension

    We consider an interacting particle system proposed in the literature to model fish behavior. In this model, the agents move at constant speed and control the curvature of their trajectory (i.e. the time-derivative of their velocity) so as to align their velocity with that of the...

    Quarterly of Applied Mathematics2026-09-160 citationsDOI
  • AI & ComputingOpen access

    Mean-Field Limit for Stochastic Control Problems under State Constraint

    Abstract. We study the convergence problem of mean-field control theory in the presence of state constraints and nondegenerate idiosyncratic noise. Our main result is the convergence of the value functions associated to stochastic control problems for many interacting particles s...

    SIAM Journal on Control and Optimization2026-09-090 citationsDOI
  • Society & EconomicsOpen access

    A nested factor model for equity markets: reconciling multifractal stock returns and rough index volatilities

    The Nested factor model was introduced by Chicheportiche et al. to represent non-linear correlations between stocks. Stock returns are explained by a standard factor model, but the (log)-volatilities of factors and residuals are themselves decomposed into factor modes, with a com...

    Quantitative Finance2026-09-040 citationsDOI
  • AI & ComputingOpen access

    A Rockafellar Theorem for cyclically quasi-monotone maps: the regular non-vanishing case

    We study the connection between cyclic quasi-monotonicity and quasi-convexity, focusing on whether every cyclically quasi-monotone (possibly multi-valued) map is included in the normal cone operator of a quasi-convex function, in analogy with Rockafellar's theorem for convex func...

    Communications in Contemporary Mathematics2026-08-200 citationsDOI