World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
37753
World Ranking
5454
National Ranking
2486

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to optimization, machine learning, distributed control, and game theory

Overview

David H. Wolpert is affiliated with the Santa Fe Institute in the United States. Their research primarily spans the field of Physics and Astronomy, with a focus on Statistical and Nonlinear Physics as a significant subfield.

The scientist's scholarly output includes contributions to several research topics such as Advanced Thermodynamics and Statistical Mechanics, Neural dynamics and brain function, Quantum Computing Algorithms and Architecture, Statistical Mechanics and Entropy, Quantum Mechanics and Applications, Origins and Evolution of Life, and Evolutionary Game Theory and Cooperation.

Frequent co-authors in their research collaborations include Artemy Kolchinsky, Farita Tasnim, Gülce Kardeş, Thomas E. Ouldridge, and James W. Bono.

David H. Wolpert has published numerous papers in various venues. The most common publication venues include arXiv (Cornell University), New Journal of Physics, Entropy, RePEc: Research Papers in Economics, and Physical Review E.

Selected recent papers by David H. Wolpert are:

  • Uncertainty Relations and Fluctuation Theorems for Bayes Nets, 2020, Physical Review Letters
  • Is stochastic thermodynamics the key to understanding the energy costs of computation?, 2024, Proceedings of the National Academy of Sciences
  • The Implications of the No-Free-Lunch Theorems for Meta-induction, 2023, Journal for General Philosophy of Science

Other notable related papers, although not authored by Wolpert, that intersect their research interests include:

  • Work, entropy production, and thermodynamics of information under protocol constraints, 2020, arXiv (Cornell University)
  • Scale and information-processing thresholds in Holocene social evolution, 2020, Nature Communications

David H. Wolpert's work also relates to themes such as optimization, machine learning, distributed control, and game theory, recognized by the award of IEEE Fellow in 2016 for contributions in these areas.

Best Publications

  • No free lunch theorems for optimization

    D.H. Wolpert;W.G. Macready

  • Original Contribution: Stacked generalization

    David H. Wolpert

  • The lack of a priori distinctions between learning algorithms

    David H. Wolpert

  • No Free Lunch Theorems for Search

    David H. Wolpert;William G. Macready

  • Bias plus variance decomposition for zero-one loss functions

    Ron Kohavi;David Wolpert

  • The Supervised Learning No-Free-Lunch Theorems

    David H. Wolpert

  • OPTIMAL PAYOFF FUNCTIONS FOR MEMBERS OF COLLECTIVES

    David H. Wolpert;Kagan Tumer

  • Covariation of mutations in the V3 loop of human immunodeficiency virus type 1 envelope protein: an information theoretic analysis.

    Bette T. M. Korber;Robert M. Farber;David H. Wolpert;Alan S. Lapedes

  • Coevolutionary free lunches

    D.H. Wolpert;W.G. Macready

  • AN INTRODUCTION TO COLLECTIVE INTELLIGENCE

    David H. Wolpert;Kagan Tumer

  • Estimating functions of probability distributions from a finite set of samples

    David H. Wolpert;David H. Wolpert;David R. Wolf;David R. Wolf

  • An Efficient Method To Estimate Bagging‘s Generalization Error

    David H. Wolpert;William G. Macready

  • Surfaid predictor: web-based system for predicting surfer behavior

    David Charles Martin;Hansel Joseph Miranda;Mark Paul Plutowski;William Scott Spangler

  • Linearly Combining Density Estimators via Stacking

    Padhraic Smyth;David Wolpert

  • Bandit problems and the exploration/exploitation tradeoff

    W.G. Macready;D.H. Wolpert

  • The Relationship Between PAC, the Statistical Physics Framework, the Bayesian Framework, and the VC Framework

    David H. Wolpert

  • Semantic information, autonomous agency and non-equilibrium statistical physics.

    Artemy Kolchinsky;David H. Wolpert

  • On the Connection between In-sample Testing and Generalization Error.

    David H. Wolpert

  • Information Theory - The Bridge Connecting Bounded Rational Game Theory and Statistical Physics

    David H. Wolpert

  • Collectives and the Design of Complex Systems

    Kagan Tumer;David H. Wolpert

  • On Overfitting Avoidance as Bias

    David H. Wolpert

Frequent Co-Authors

Kagan Tumer
Kagan Tumer Oregon State University
William G. Macready
William G. Macready D-Wave Systems (Canada)
Dureseti Chidambarrao
Dureseti Chidambarrao IBM (United States)
Russell Bent
Russell Bent Los Alamos National Laboratory
Padhraic Smyth
Padhraic Smyth University of California, Irvine
Emanuel Knill
Emanuel Knill National Institute of Standards and Technology
Alper Buyuktosunoglu
Alper Buyuktosunoglu IBM (United States)
Bette T. Korber
Bette T. Korber Los Alamos National Laboratory

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