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D-Index & Metrics

Mathematics

D-Index
37
Citations
14319
World Ranking
2413
National Ranking
15

Overview

László Györfi is affiliated with the Budapest University of Technology and Economics in Hungary. Their research is primarily focused on the intersection of mathematics and computer science.

The main fields of study in their work include:

  • Mathematics
  • Computer Science

Within these fields, their specialization spans several subfields such as:

  • Artificial Intelligence
  • Statistics and Probability
  • Applied Mathematics
  • Statistics, Probability and Uncertainty
  • Finance

The key topics addressed in Györfi's work include:

  • Statistical Methods and Inference
  • Privacy-Preserving Technologies in Data
  • Machine Learning and Algorithms
  • Bayesian Modeling and Causal Inference
  • Advanced Causal Inference Techniques
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference

Recent papers authored by Györfi illustrate the breadth of their research, featuring publication years and venues as follows:

  • "Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces" (2020, arXiv (Cornell University))
  • "Lossless Transformations and Excess Risk Bounds in Statistical Inference" (2023, Entropy)
  • "Multivariate density estimation from privatised data: universal consistency and minimax rates" (2023, Journal of nonparametric statistics)
  • "On Rate Optimal Private Regression Under Local Differential Privacy" (2023, Statistica Sinica)
  • "On the strong stability of ergodic iterations" (2024, Journal of Applied Probability)

The frequent co-authors collaborating with Györfi include:

  • Harro Walk
  • Tamás Linder
  • Martin H. Kroll
  • Roi Weiss
  • Attila Lovas

Györfi has published multiple times in established venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • Entropy
  • Journal of nonparametric statistics
  • Statistica Sinica

Best Publications

  • A Probabilistic Theory of Pattern Recognition

    Luc Devroye;László Györfi;Gábor Lugosi

  • A Distribution-Free Theory of Nonparametric Regression

    László Györfi

  • Nonparametric density estimation : the L[1] view

    Luc Devroye;László Györfi

  • Nonparametric entropy estimation. An overview

    J. Beirlant;EJ Dudewicz;László Györfi;István Dénes

  • 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

  • Constructions of binary constant-weight cyclic codes and cyclically permutable codes

    Nguyen Q. A;L. Gyorfi;J.L. Massey

  • NONPARAMETRIC KERNEL-BASED SEQUENTIAL INVESTMENT STRATEGIES

    László Györfi;Gábor Lugosi;Frederic Udina

  • Consistent Nonparametric Tests of Independence

    Arthur Gretton;Arthur Gretton;László Györfi

  • Distribution estimation consistent in total variation and in two types of information divergence

    A.R. Barron;L. Gyorfi;E.C. van der Meulen

  • Density-free convergence properties of various estimators of entropy

    László Györfi;Edward C. van der Meulen

  • Partitioning-estimates of a regression function under random censoring

    A. Carbonez;L. Györfi;E.C. van der Meulen

  • Nonparametric nearest neighbor based empirical portfolio selection strategies

    László Györfi;Frederic Udina;Harro Walk

  • Strong consistency and rates for recursive probability density estimators of stationary processes

    Elias Masry;László Györfi

  • Lower bounds for Bayes error estimation

    A. Antos;L. Devroye;L. Gyorfi

  • Nonparametric inference for ergodic, stationary time series

    Gusztáv Morvai;Sidney Yakowitz;László Györfi

  • Limits to consistent on-line forecasting for ergodic time series

    L. Gyorfi;G. Morvai;S.J. Yakowitz

  • Constructions of protocol sequences for multiple access collision channel without feedback

    L. Gyorfi;I. Vajda

  • Hannan consistency in on-line learning in case of unbounded losses under partial monitoring

    Chamy Allenberg;Peter Auer;Laszlo Györfi;György Ottucsak

  • The estimation problem of minimum mean squared error

    Luc Devroye;Dominik Schäfer;László Györfi;Harro Walk

  • There is no universal source code for an infinite source alphabet

    L. Gyorfi;I. Pali;E.C. Van der Meulen

Frequent Co-Authors

Gábor Lugosi
Gábor Lugosi Pompeu Fabra University
Luc Devroye
Luc Devroye McGill University
Adam Krzyżak
Adam Krzyżak Concordia University
Jan Beirlant
Jan Beirlant KU Leuven
Elias Masry
Elias Masry University of California, San Diego
Arthur Gretton
Arthur Gretton University College London
András György
András György New York University Abu Dhabi
Andrew R. Barron
Andrew R. Barron Swansea University
Peter Auer
Peter Auer University of Leoben
Ezio Biglieri
Ezio Biglieri Pompeu Fabra University

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