David Wolpert
#9,916
Most Influential Person Now
American mathematician, physicist and computer scientist
David Wolpert's AcademicInfluence.com Rankings
David Wolpertmathematics Degrees
Mathematics
#1669
World Rank
#2685
Historical Rank
#683
USA Rank
Measure Theory
#406
World Rank
#592
Historical Rank
#174
USA Rank
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Computer Science Mathematics
David Wolpert's Degrees
- PhD Physics Princeton University
- Masters Physics Princeton University
- Bachelors Physics Princeton University
Why Is David Wolpert Influential?
(Suggest an Edit or Addition)According to Wikipedia, David Hilton Wolpert is an American physicist and computer scientist. He is a professor at Santa Fe Institute. He is the author of three books, three patents, over one hundred refereed papers, and has received two awards. His name is particularly associated with a theorem in computer science known as "no free lunch".
David Wolpert's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- No free lunch theorems for optimization (1997) (10627)
- Stacked generalization (1992) (6052)
- No Free Lunch Theorems for Search (1995) (1229)
- The Lack of A Priori Distinctions Between Learning Algorithms (1996) (930)
- Bias Plus Variance Decomposition for Zero-One Loss Functions (1996) (759)
- The Supervised Learning No-Free-Lunch Theorems (2002) (457)
- Collective Intelligence (2014) (259)
- Optimal Payoff Functions for Members of Collectives (2001) (257)
- An Introduction to Collective Intelligence (1999) (255)
- Coevolutionary free lunches (2005) (221)
- On Overfitting Avoidance as Bias (1993) (191)
- Information Theory - The Bridge Connecting Bounded Rational Game Theory and Statistical Physics (2004) (173)
- Linearly Combining Density Estimators via Stacking (1999) (153)
- An Efficient Method To Estimate Bagging's Generalization Error (1999) (140)
- The Existence of A Priori Distinctions Between Learning Algorithms (1996) (139)
- Bandit problems and the exploration/exploitation tradeoff (1998) (138)
- On Bias Plus Variance (1997) (127)
- Collective Intelligence and Braess' Paradox (2000) (126)
- The Relationship Between PAC, the Statistical Physics Framework, the Bayesian Framework, and the VC Framework (1995) (124)
- On the Connection between In-sample Testing and Generalization Error (1992) (122)
- Collectives and Design Complex Systems (2004) (122)
- Collective Intelligence for Control of Distributed Dynamical Systems (1999) (119)
- Using Collective Intelligence to Route Internet Traffic (1998) (118)
- General principles of learning-based multi-agent systems (1999) (107)
- Collective Intelligence, Data Routing and Braess' Paradox (2002) (95)
- Nonlinear Information Bottleneck (2017) (93)
- Drivers of Bacterial Maintenance and Minimal Energy Requirements (2017) (88)
- Learning sequences of actions in collectives of autonomous agents (2002) (87)
- Semantic information, autonomous agency and non-equilibrium statistical physics (2018) (86)
- What makes an optimization problem hard? (1995) (82)
- Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach (2016) (76)
- The Mathematics of Generalization: The Proceedings of the SFI/CNLS Workshop on Formal Approaches to Supervised Learning (1994) (76)
- Neural Networks and Related Methods for Classification - Discussion (1994) (75)
- Discrete, Continuous, and Constrained Optimization Using Collectives (2004) (75)
- Cyber-Physical Security: A Game Theory Model of Humans Interacting Over Control Systems (2013) (72)
- A Survey of Collectives (2004) (72)
- Remarks on a recent paper on the "no free lunch" theorems (2001) (70)
- Ubiquity symposium: Evolutionary computation and the processes of life: what the no free lunch theorems really mean: how to improve search algorithms (2013) (66)
- Stacked Density Estimation (1997) (58)
- Distributed control by Lagrangian steepest descent (2004) (58)
- The stochastic thermodynamics of computation (2019) (57)
- Physical limits of inference (2007) (54)
- A Mathematical Theory of Generalization: Part II (1990) (53)
- Fleet Assignment Using Collective Intelligence (2004) (50)
- Hysteresis Effects of Changing Parameters of Noncooperative Games (2010) (50)
- Towards a bayesian network game framework for evaluating DDoS attacks and defense (2012) (49)
- On the Use of Evidence in Neural Networks (1992) (49)
- A comparative study of probability collectives based multi-agent systems and genetic algorithms (2005) (46)
- Decision Making with Imperfect Decision Makers (2011) (43)
- Product distribution theory for control of multi-agent systems (2004) (43)
- Advances in Distributed Optimization Using Probability Collectives (2006) (43)
- Constructing a generalizer superior to NETtalk via a mathematical theory of generalization (1990) (41)
- Alpha, Evidence, and the Entropic Prior (1993) (39)
- The thermodynamic efficiency of computations made in cells across the range of life (2017) (38)
- Computational capabilities of physical systems. (2001) (35)
- Dependence of dissipation on the initial distribution over states (2016) (33)
- Game Theoretic Modeling of Pilot Behavior During Mid-Air Encounters (2011) (33)
- Combining Stacking With Bagging To Improve A Learning Algorithm (1996) (31)
- Using self-dissimilarity to quantify complexity (2007) (30)
- Reinforcement Learning in Distributed Domains: Beyond Team Games (2001) (30)
- Self-dissimilarity: an empirically observable complexity measure (2000) (30)
- The Relationship Between Occam's Razor and Convergent Guessing (1990) (29)
- Improving Search Algorithms by Using Intelligent Coordinates (2003) (28)
- Adaptive, distributed control of constrained multi-agent systems (2004) (28)
- Bayesian Backpropagation Over I-O Functions Rather Than Weights (1993) (28)
- Using Supervised Learning to Improve Monte Carlo Integral Estimation (2011) (27)
- Strategic Choice of Preferences: the Persona Model (2010) (26)
- Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes (2017) (26)
- Extending Landauer's Bound from Bit Erasure to Arbitrary Computation (2015) (25)
- On 2-Armed Gaussian Bandits and Optimization (1996) (25)
- Thermodynamics of computing with circuits (2018) (25)
- Anytime Exploratory Data Analysis for Massive Data Sets (1997) (24)
- Uncertainty relations and fluctuation theorems for Bayes nets (2019) (23)
- Flight Control with Distributed Efiectors (2005) (23)
- The Free Energy Requirements of Biological Organisms; Implications for Evolution (2016) (23)
- Entropy production and thermodynamics of information under protocol constraints (2020) (23)
- Combining Generalizers Using Partitions of the Learning Set (1993) (23)
- OFF-TRAINING SET ERROR AND A PRIORI DISTINCTIONS BETWEEN LEARNING ALGORITHMS (1994) (22)
- Adaptivity in agent-based routing for data networks (1999) (20)
- Upgrading from Gaussian Processes to Student's-T Processes (2018) (20)
- Adaptive Programming of Unconventional Nano-Architectures (2006) (20)
- Number of hidden states needed to physically implement a given conditional distribution (2017) (20)
- The Role of Guidance, Navigation, and Control in Hypersonic Vehicle Multidisciplinary Design and Optimization (2009) (19)
- Designing agent collectives for systems with markovian dynamics (2002) (18)
- Optimal high-level descriptions of dynamical systems (2014) (18)
- Adaptive Multi-Agent Systems for Constrained Optimization (2004) (18)
- Finding Bounded Rational Equilibria. Part 1; Iterative Focusing (2004) (17)
- RECONCILING BAYESIAN AND NON-BAYESIAN ANALYSIS (1996) (17)
- A Mathematical Theory of Generalization: Part I (1990) (17)
- A Computationally Universal Field Computer That is Purely Linear (1993) (16)
- Scale and information-processing thresholds in Holocene social evolution (2020) (16)
- An Evaluation of Linearly Combining Density Estimators via Stacking (1998) (16)
- On The Bayesian Occam Factors Argument For Occam's Razor (1993) (16)
- Thermodynamic costs of Turing machines (2019) (16)
- A space–time tradeoff for implementing a function with master equation dynamics (2017) (15)
- Memory systems, computation, and the second law of thermodynamics (1992) (15)
- Estimating Functions of Distributions Defined over Spaces of Unknown Size (2013) (15)
- What Bayes has to Say about the Evidence Procedure (1996) (14)
- Parametric Learning and Monte Carlo Optimization (2007) (14)
- Self-dissimilarity as a High Dimensional Complexity Measure (2005) (14)
- Coarse-Graining and the Blackwell Order (2017) (14)
- Mathematics of Generalization: Proceedings: SFI-CNLS Workshop on Formal Approaches to Supervised Learning (1992: Santa Fe, N. M.) (1995) (14)
- Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate the Future (2012) (13)
- Probability Collectives in Optimization (2013) (13)
- Estimating Functions of Distributions from A Finite Set of Samples, Part 2: Bayes Estimators for Mutual Information, Chi-Squared, Covariance and other Statistics (1994) (13)
- Minimal entropy production rate of interacting systems (2020) (13)
- Probability Collectives for Optimization of Computer Simulations (2007) (12)
- Self-Dissimilarity: An Empirical Measure of Complexity (1997) (12)
- Distribution-Valued Solution Concepts (2013) (12)
- Product Distribution Theory and Semi-Coordinate Transformations (2004) (12)
- Decision Making and Imperfection (2013) (12)
- Any Two Learning Algorithms Are (Almost) Exactly Identical (2000) (11)
- The Mathematics of Search (1996) (11)
- An Incompleteness Theorem for Calculating the Future (1996) (11)
- DETERMINING WHETHER TWO DATA SETS ARE FROM THE SAME DISTRIBUTION (1996) (11)
- Why Income Comparison is Rational (2009) (11)
- Avoiding Braess' Paradox through Collective Intelligence (1999) (11)
- The minimal hidden computer needed to implement a visible computation (2017) (10)
- A likelihood ratio anomaly detector for identifying within-perimeter computer network attacks (2016) (10)
- Optimization Under Uncertainty Using Probability Collectives (2006) (10)
- What is important about the No Free Lunch theorems? (2020) (10)
- Improving Simulated Annealing by Recasting it as a Non-Cooperative Game (2001) (10)
- Integrating multiple learned models for improving and scaling machine learning algorithms (1996) (10)
- Reducing the error of Monte Carlo Algorithms by Learning Control Variates (2016) (10)
- Theory of Collective Intelligence (2013) (9)
- Thermodynamic Computing (2019) (8)
- Distributed Constrained Optimization with Semicoordinate Transformations (2008) (8)
- A Predictive Theory of Games (2005) (8)
- A benchmark for how well neural nets generalize (1989) (8)
- Statistical Prediction of the Outcome of a Noncooperative Game (2008) (7)
- The lesson of Newcomb’s paradox (2013) (7)
- Bias-Variance Trade-offs: Novel Applications (2008) (7)
- A Rigorous Investigation of “Evidence” and “Occam Factors” in Bayesian Reasoning (1992) (7)
- Dependence of integrated, instantaneous, and fluctuating entropy production on the initial state in quantum and classical processes. (2021) (7)
- Metrics for more than two points at once (2004) (7)
- Information Theory and Observational Limitations in Decision Making (2012) (7)
- Product Distribution Field Theory (2003) (6)
- Predicting the outcome of a game (2007) (6)
- Predicting the behavior of interacting humans by fusing data from multiple sources (2012) (6)
- Beyond Mechanism Design (2004) (6)
- Information width: a way for the second law to increase complexity (2013) (6)
- The design of collectives of agents to control non-Markovian systems (2002) (6)
- Entropy production given constraints on the energy functions. (2021) (6)
- Constraints on physical reality arising from a formalization of knowledge (2017) (6)
- Bayesian and Computational Learning Theory (2006) (5)
- Thermodynamic Uncertainty Relations for Multipartite Processes (2021) (5)
- Inference Concerning Physical Systems (2010) (5)
- A Survey of Collective Intelligence (2013) (5)
- A framework for optimal high-level descriptions in science and engineering - preliminary report (2014) (5)
- Filter likelihoods and exhaustive learning (1994) (4)
- Product Distributions for Distributed Optimization (2005) (4)
- Generalization, surface-fitting, and network structures (1990) (4)
- Finding Bounded Rational Equilibria. Part 2; Alternative Lagrangians and Uncountable Move Spaces (2004) (4)
- The Bootstrap is Inconsistent with Probability Theory (1996) (4)
- The Implications of the No-Free-Lunch Theorems for Meta-induction (2021) (4)
- Exact, complete expressions for the thermodynamic costs of circuits (2018) (4)
- Stochastic thermodynamics and fluctuation theorems for non-linear systems (2020) (4)
- PGT: A Statistical Approach to Prediction and Mechanism Design (2010) (4)
- The Second Law, Computation, And The Temporal (a)symmetry Of Memory (1992) (4)
- Maximizing free energy gain (2017) (4)
- Beyond Number of Bit Erasures: New Complexity Questions Raisedby Recently discovered thermodynamic costs of computation (2018) (4)
- Schelling Formalized: Strategic Choices of Non-Rational Personas (2008) (4)
- Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method (2008) (4)
- Off-training-set error for the Gibbs and the Bayes optimal generalizers (1995) (4)
- The Many Faces of State Space Compression (2017) (4)
- Overview of Information Theory, Computer Science Theory, and Stochastic Thermodynamics for Thermodynamics of Computation (2018) (4)
- Decision-Theoretic Prediction and Policy Design of GDP Slot Auctions (2013) (4)
- Using Machine Learning to Improve Stochastic Optimization (2013) (4)
- Modeling Humans as Reinforcement Learners: How to Predict Human Behavior in Multi-Stage Games (2011) (4)
- Extending Landauer's Bound to Arbitrary Computation (2015) (3)
- Thermodynamic cost due to changing the initial distribution over states (2016) (3)
- Game-theoretic Management of Interacting Adaptive Systems (2008) (3)
- Minimal work required for arbitrary computation (2015) (3)
- Providing Effective Access to Shared Resources: A COIN Approach (2003) (3)
- Predicting Behavior in Unstructured Bargaining with a Probability Distribution (2010) (3)
- Fluctuation theorems for multipartite processes (2020) (3)
- Predictive Game Theory (2005) (3)
- The Effects of Observational Limitations on Optimal Decision making (2009) (3)
- Noisy Deductive Reasoning: How Humans Construct Math, and How Math Constructs Universes (2020) (3)
- What Information Theory Says About Best Response and About Binding Contracts (2004) (3)
- Minimal entropy production due to constraints on rate matrix dependencies in multipartite processes (2020) (3)
- When is a bit worth much more than kT ln2 (2017) (3)
- Reinforcement Learning in Distributed Domains: An Inverse Game theoretic Approach (2001) (3)
- Optimal lost-link policies for unmanned aircraft (2015) (3)
- Trembling hand perfection for mixed quantal/best response equilibria (2009) (3)
- Thermodynamic speed limits for co-evolving systems (2021) (3)
- Semantic information, agency, and nonequilibrium statistical physics (2018) (3)
- Game-theoretic Management of Interacting Adaptive Systems (2008) (3)
- What Information Theory Says About Bounded Rational Best Response (2006) (3)
- Distributed Adaptive Control: Beyond Single-Instant, Discrete Variables (2005) (2)
- Strengthened second law for multi-dimensional systems coupled to multiple thermodynamic reservoirs (2020) (2)
- No Free Lunch Theorems for SearchSFI-TR-95-02-010 (2012) (2)
- Thermodynamics of deterministic finite automata operating locally and periodically (2022) (2)
- Decision Making: Uncertainty, Imperfection, Deliberation and Scalability (2015) (2)
- Trembling Hand Perfection for Mixed Quantal Response/Nash Equilibria (2008) (2)
- A theory of unstructured bargaining using distribution-valued solution concepts (2010) (2)
- Product Distributions for Distributed Optimization. Chapter 1 (2004) (2)
- Combining lower bounds on entropy production in complex systems with multiple interacting components (2022) (2)
- Distributed Control with Collective Intelligence (1998) (2)
- The Gaping Holes in Social Science (2015) (2)
- How to Use Decision Theory to Choose Among Mechanisms (2009) (2)
- What Does Newcomb's Paradox Teach Us? (2009) (2)
- It can be smart to be dumb (2007) (2)
- Optimal Reward Functions in Distributed Reinforcement Learning (2001) (2)
- Optimal Wonderful Life Utility Functions in Multi-Agent Systems (2000) (2)
- Adaptive Metropolis Sampling and Optimization with Product Distributions (2005) (2)
- Inclusive Thermodynamics of Computational Machines (2022) (2)
- Minimum entropy production in multipartite processes due to neighborhood constraints (2020) (2)
- Strengthened Landauer bound for composite systems (2020) (2)
- Correction: Wolpert, D.H. The Free Energy Requirements of Biological Organisms; Implications for Evolution. Entropy 2016, 18, 138 (2016) (2)
- HMMs for Optimal Detection of Cybernet Attacks (2014) (1)
- Distributed Adaptive Control: Beyond Single-Instant, Discrete Control Variables (2004) (1)
- Application of Game Theoretic Models to Evaluate Airline Equipage Dynamics of NextGen Technologies (2013) (1)
- Analyzing Policy Risk and Accounting for Strategy: Auctions in the National Airspace System (2010) (1)
- Adaptive Metropolis Sampling with Product Distributions (2005) (1)
- Some results concerning off-training-set and IID error for the Gibbs and the Bayes optimal generalizers (1998) (1)
- Collective Intelligence. Chapter 17 (2003) (1)
- Game Mining: How to Make Money from Those About to Play a Game (2013) (1)
- The state dependence of integrated, instantaneous, and fluctuating entropy production in quantum and classical processes (2021) (1)
- An adaptive Metropolis-Hastings scheme: Sampling and optimization (2005) (1)
- Thermodynamic speed limits for multiple, co-evolving systems (2021) (1)
- Information geometry of noncooperative games (2013) (1)
- Modeling Social Organizations as Communication Networks (2017) (1)
- Chapter 1 Distributed Optimization (2004) (1)
- Using self-dissimilarity to quantify complexity: Research Articles (2007) (1)
- How Much Would You Pay to Change a Game before Playing It? (2019) (1)
- Information Geometry and Game Theory (2016) (1)
- Reasoning About ‘When’ Instead of ‘What’: Collusive Equilibria with Stochastic Timing in Repeated Oligopoly (2019) (1)
- Evolution and Rationality: Schelling formalized (2012) (1)
- A quantitative definition of organismality and its application to lichen (2016) (1)
- What can we know about that which we cannot even imagine? (2022) (1)
- Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems (2016) (1)
- Value of information in noncooperative games (2013) (1)
- A Likelihood Ratio Detector for Identifying Within-Perimeter Computer Network Attacks (2016) (1)
- Finding Bounded Rational Equilibria (2013) (1)
- Information geometry of influence diagrams and noncooperative games (2014) (1)
- Publisher Correction: A space–time tradeoff for implementing a function with master equation dynamics (2019) (1)
- Theories of Knowledge and Theories of Everything (2018) (1)
- Predicting what reinforcement learning will tell you: a model of human decision-making in multi-stage games (2011) (1)
- A pr 2 01 7 Maximizing free energy gain (2018) (0)
- Bias-Variance Tradeoffs: Novel Applications (2008) (0)
- Editorial (2022) (0)
- Horizontal Generalization (2007) (0)
- Nonequilibrium thermodynamics of uncertain stochastic processes (2022) (0)
- Overview of Information Theory, Computer Science Theory, and Stochastic Thermodynamics of Computation (2019) (0)
- Thermodynamics of Turing Machines (2019) (0)
- FORMALIZATION OF STRUCTURAL CONSTRAINTS OF RELATIONSHIPS IN MODEL „ ENTITY-RELATIONSHIP ” (2007) (0)
- Improving Simulated Annealing by Replacing Its Variables with Game-Theoretic Utility Maximizers (2001) (0)
- A ug 2 01 9 The thermodynamic costs of circuits (2019) (0)
- The Past as a Stochastic Process (2021) (0)
- Chapter 1 Product Distributions for Distributed Optimization (2004) (0)
- Non-Rationality in non-repeated games (2008) (0)
- Statistical Physics, Bounded Rationality and Distributed Control (2004) (0)
- Scalable Decision Making : Uncertainty , Imperfection , Deliberation (2014) (0)
- Scale and information-processing thresholds in Holocene social evolution (2020) (0)
- Thermodynamics of nonequilibrium systems with uncertain parameters (2021) (0)
- How bounded rationality can be optimal (2008) (0)
- Statistical prediction of the outcome of a game (2008) (0)
- The fundamental thermodynamic costs of communication (2023) (0)
- Statistical Physics for Adaptive Distributed Control (2013) (0)
- Statistical Machine Learning for Large-Scale Optimization Contributors (0)
- New results in stochastic thermodynamics derived using informational divergences (2018) (0)
- Preface (2019) (0)
- Collectives for the Optimal Combination of Imperfect Objects (2003) (0)
- On the computational capabilities of physical systems part I: the impossibility of infallible computation (2000) (0)
- 1 0 D ec 2 01 9 Thermodynamic costs of Turing Machines (2019) (0)
- Managing Multiple Interacting Adaptive Systems Via Game Theory (2008) (0)
- The minimal “hidden” computer needed to implement a computation (2018) (0)
- On Exhaustive Learning (2018) (0)
- Social Scale and Collective Computation: Does Information Processing Limit Rate of Growth in Scale? (2022) (0)
- A STOCHASTIC MODEL OF MATHEMATICS AND SCIENCE (2023) (0)
- Publisher Correction: A space–time tradeoff for implementing a function with master equation dynamics (2019) (0)
- Cross-validation, learning set transformations, and generalization (1990) (0)
- Guest Editors' Introduction (2004) (0)
- Distributed Optimization (2005) (0)
- Chapter 1 Adaptive Metropolis Sampling with Product Distributions (2004) (0)
- Stochastic Mathematical Systems (2022) (0)
- ON THE COMPUTATIONAL CAPABILITIES OF PHYSICAL SYSTEMS PART II: RELATIONSHIP WITH CONVENTIONAL COMPUTER SCIENCE (2000) (0)
- The lesson of Newcomb’s paradox (2011) (0)
- CHAPTER 17 COLLECTIVE INTELLIGENCE (2003) (0)
- Corrigendum: Number of hidden states needed to physically implement a given conditional distribution (2019 New Journal of Physics 21 013022) (2020) (0)
- No free lunch theorems for optimization — Source link (0)
- A space–time tradeoff for implementing a function with master equation dynamics (2019) (0)
- From Scale to Information and Back: Human Social Evolution in the Holocene (2019) (0)
- L Product Distribution Theory and Semi-Coordinate Transformations (2004) (0)
- 2010-13 Distribution-valued solution concepts (2020) (0)
- Beyond Number of Bit Erasures: Computer Science Theory of the Thermodynamics of Computation (2019) (0)
- Agent Collectives Coupled to Markovian Systems (2003) (0)
- Novel physical constraints on implementation of computational processes (2017) (0)
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