In this paper, we study the local geometry of the expected log-likelihood function to prove several rates of convergence for the MLE. We also give a complete ...
Jun 3, 2017 · In this paper, we study the local geometry of the expected log-likelihood function to prove several rates of convergence for the MLE. We also ...
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Determinantal point processes (DPPs) describe a family of repulsive point processes; they induce probability distributions that favor configurations of points ...
Determinantal point processes (DPPs) describe a family of repulsive point processes; they induce probability distributions that favor configurations of points.
Rates of Estimation for. Discrete Determinantal Point Processes. V.-E. Brunel, A. Moitra, P. Rigollet, J. Urschel. COLT 2017, Amsterdam. Page 2. Discrete DPPs.
Discrete Determinantal Point. Processes. Stats/ML in Saclay. Jan 27, 2020. Victor-Emmanuel Brunel. Department of Statistics. ENSAE/CREST. Page 2 ...
In this paper, we study the local geometry of the expected log-likelihood function to prove several rates of convergence for the MLE. We also give a complete ...
Feb 1, 2022 · Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet, John C. Urschel: Rates of estimation for determinantal point processes.
We discuss about DPPs' definitions, important properties and examples in various aspects of mathe- matics. In the third chapter we study the maximum likelihood ...
Rates of estimation for determinantal point processes · Victor-Emmanuel BrunelAnkur MoitraP. RigolletJohn C. Urschel. Computer Science, Mathematics. COLT. 2017.