World's Best Scientists 2026 revealed!
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Mathematics
Canada
2026
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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
66
Citations
29401
World Ranking
2260
National Ranking
84

Mathematics

D-Index
71
Citations
31235
World Ranking
255
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Mathematics in Canada Leader Award
  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2025 - Research.com Mathematics in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2018 - Wald Memorial Lecturer
  • 2005 - Izaak Walton Killam Memorial Prize, Canada Council

Overview

Luc Devroye is affiliated with McGill University in Canada and has contributed extensively to the fields of computer science and mathematics. Their research spans multiple subfields including artificial intelligence, mathematical physics, statistics and probability, signal processing, and computational theory and mathematics.

Their main research topics cover a range of areas in computational and statistical theory, with notable focus on stochastic processes and statistical mechanics, algorithms and data compression, Bayesian methods and mixture models, data management and algorithms, Markov chains and Monte Carlo methods, optimization and search problems, as well as statistical methods and inference.

Luc Devroye has published papers in various scientific venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Combinatorics Probability Computing
  • Mathematics and Computers in Simulation
  • Electronic Journal of Statistics
  • Random Structures and Algorithms

Recently published papers include:

  • The minimax learning rates of normal and Ising undirected graphical models (2020), Electronic Journal of Statistics
  • An asymptotically optimal algorithm for generating bin cardinalities (2024), Mathematics and Computers in Simulation
  • Exceptional Rotations of Random Graphs: A VC Theory (2021), UNC Libraries
  • Broadcasting on random recursive trees (2022), The Annals of Applied Probability
  • Root estimation in Galton-Watson trees (2022), Random Structures and Algorithms

Frequent co-authors collaborating with Luc Devroye include:

  • Gábor Lugosi
  • Caelan Atamanchuk
  • Marcel K. Goh
  • Louigi Addario-Berry
  • Roberto I. Oliveira

Throughout their career, Luc Devroye has been recognized with notable awards such as the Wald Memorial Lecturer in 2018 and the Izaak Walton Killam Memorial Prize awarded by the Canada Council in 2005.

Best Publications

  • Non-uniform random variate generation

    Luc Devroye

  • A Probabilistic Theory of Pattern Recognition

    Luc Devroye;László Györfi;Gábor Lugosi

  • Nonparametric density estimation

    Luc Devroye

  • Nonparametric density estimation : the L[1] view

    Luc Devroye;László Györfi

  • Combinatorial Methods in Density Estimation

    Luc Devroye;Gábor Lugosi

  • A Course in Density Estimation

    Luc Devroye

  • Consistency of Random Forests and Other Averaging Classifiers

    Gérard Biau;Luc Devroye;Gábor Lugosi

  • Nonparametric Density Estimation: The L 1 View.

    Unknown

  • On the Strong Universal Consistency of Nearest Neighbor Regression Function Estimates

    Luc Devroye;Laszlo Gyorfi;Adam Krzyzak;Gabor Lugosi

  • Distribution-Free Consistency Results in Nonparametric Discrimination and Regression Function Estimation

    Luc P. Devroye;T. J. Wagner

  • On the Almost Everywhere Convergence of Nonparametric Regression Function Estimates

    Luc Devroye

  • A note on the height of binary search trees

    Luc Devroye

  • Lectures on the Nearest Neighbor Method

    Grard Biau;Luc Devroye

  • Distribution-free performance bounds for potential function rules

    L. Devroye;T. Wagner

  • Sample-based non-uniform random variate generation

    Luc Devroye

  • Detection of Abnormal Behavior Via Nonparametric Estimation of the Support

    Luc Devroye;Gary L. Wise

  • The Equivalence of Weak, Strong and Complete Convergence in $L_1$ for Kernel Density Estimates

    Luc Devroye

  • On the Spanning Ratio of Gabriel Graphs and beta -Skeletons

    Prosenjit Bose;Luc Devroye;William Evans;David Kirkpatrick

  • Branching processes in the analysis of the heights of trees

    L Devroye

  • Automatic pattern recognition: a study of the probability of error

    L. Devroye

  • The total variation distance between high-dimensional Gaussians

    Luc Devroye;Abbas Mehrabian;Tommy Reddad

Frequent Co-Authors

Gábor Lugosi
Gábor Lugosi Pompeu Fabra University
László Györfi
László Györfi Budapest University of Technology and Economics
Pat Morin
Pat Morin Carleton University
Prosenjit Bose
Prosenjit Bose Carleton University
David Avis
David Avis McGill University
Adam Krzyżak
Adam Krzyżak Concordia University
Svante Janson
Svante Janson Uppsala University
Sébastien Bubeck
Sébastien Bubeck Microsoft (United States)
Wojciech Szpankowski
Wojciech Szpankowski Purdue University West Lafayette
Jack Snoeyink
Jack Snoeyink University of North Carolina at Chapel Hill

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