David H. Wolpert

133 papers A* 5A 6C 1Journal 100Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Disentangling Boltzmann Brains, the Time-Asymmetry of Memory, and the Second Law. Entropy David H. Wolpert, Carlo Rovelli, Jordan Scharnhorst
2025	J	`jnl`	Non-coercive extortion in game theory. CoRR Maria Alejandra Ramirez, Rosemarie Nagel, David H. Wolpert, Jürgen Jost
2024	J	`jnl`	Implications of computer science theory for the simulation hypothesis. CoRR David H. Wolpert
2024	J	`jnl`	Maximizing Free Energy Gain. Entropy Artemy Kolchinsky, Iman Marvian, Can Gokler, Zi-Wen Liu, Peter W. Shor, Oles Shtanko, Kevin Thompson, David H. Wolpert, Seth Lloyd
2024	J	`jnl`	Memory Systems, the Epistemic Arrow of Time, and the Second Law. Entropy David H. Wolpert, Jens Kipper
2024	J	`jnl`	Stochastic Process Turing Machines. CoRR David H. Wolpert, Jordan Scharnhorst
2024	J	`jnl`	The computational power of a human society: a new model of social evolution. CoRR David H. Wolpert, Kyle Harper
2023	J	`jnl`	Game Manipulators - the Strategic Implications of Binding Contracts. CoRR Maria Alejandra Ramirez, Yoav Kolumbus, Rosemarie Nagel, David H. Wolpert, Jürgen Jost
2023	J	`jnl`	Is stochastic thermodynamics the key to understanding the energy costs of computation? CoRR David H. Wolpert, Jan Korbel, Christopher Lynn, Farita Tasnim, Joshua A. Grochow, Gülce Kardes, James B. Aimone, Vijay Balasubramanian, Eric De Giuli, David Doty, Nahuel Freitas, Matteo Marsili, Thomas E. Ouldridge, Andréa W. Richa, Paul M. Riechers, Édgar Roldán, Brenda M. Rubenstein, Zoltán Toroczkai, Joseph A. Paradiso
2023	J	`jnl`	Stochastic Thermodynamics of Multiple Co-Evolving Systems - Beyond Multipartite Processes. Entropy Farita Tasnim, David H. Wolpert
2023	J	`jnl`	The fundamental thermodynamic costs of communication. CoRR Farita Tasnim, Nahuel Freitas, David H. Wolpert
2022	J	`jnl`	Social Scale and Collective Computation: Does Information Processing Limit Rate of Growth in Scale? J. Soc. Comput. Timothy A. Kohler, Darcy Bird, David H. Wolpert
2022	J	`jnl`	What can we know about that which we cannot even imagine? CoRR David H. Wolpert
2021	J	`jnl`	The Implications of the No-Free-Lunch Theorems for Meta-induction. CoRR David H. Wolpert
2021	J	`jnl`	The Past as a Stochastic Process. CoRR David H. Wolpert, Michael H. Price, Stefani A. Crabtree, Timothy A. Kohler, Jürgen Jost, James Evans, Peter F. Stadler, Hajime Shimao, Manfred D. Laubichler
2021	J	`jnl`	The state dependence of integrated, instantaneous, and fluctuating entropy production in quantum and classical processes. CoRR Artemy Kolchinsky, David H. Wolpert
2020	J	`jnl`	Entropy production and thermodynamics of information under protocol constraints. CoRR Artemy Kolchinsky, David H. Wolpert
2020	J	`jnl`	Minimum entropy production in multipartite processes due to neighborhood constraints. CoRR David H. Wolpert
2020	J	`jnl`	Noisy Deductive Reasoning: How Humans Construct Math, and How Math Constructs Universes. CoRR David H. Wolpert, David Kinney
2020	J	`jnl`	What is important about the No Free Lunch theorems? CoRR David H. Wolpert
2019	J	`jnl`	Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. IEEE Trans. Intell. Transp. Syst. Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
2019	J	`jnl`	How Much Would You Pay to Change a Game before Playing It? Entropy David H. Wolpert, Justin Grana
2019	J	`jnl`	Nonlinear Information Bottleneck. Entropy Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
2019	J	`jnl`	Stochastic thermodynamics of computation. CoRR David H. Wolpert
2019	J	`jnl`	Thermodynamic Computing. CoRR Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander A. Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman H. Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David H. Wolpert, J. Joshua Yang, Yan Yufik
2019	J	`jnl`	Thermodynamic costs of Turing Machines. CoRR Artemy Kolchinsky, David H. Wolpert
2019	J	`jnl`	Uncertainty relations and fluctuation theorems for Bayes nets. CoRR David H. Wolpert
2018	J	`jnl`	Beyond Number of Bit Erasures: New Complexity Questions Raised by Recently Discovered Thermodynamic Costs of Computation. SIGACT News Joshua A. Grochow, David H. Wolpert
2017	—	`ch.`	Bias-Variance Trade-Offs: Novel Applications. Encyclopedia of Machine Learning and Data Mining Dev G. Rajnarayan, David H. Wolpert
2017	J	`jnl`	Coarse-Graining and the Blackwell Order. Entropy Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger, David H. Wolpert
2017	J	`jnl`	Coarse-graining and the Blackwell order. CoRR Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger, David H. Wolpert
2017	J	`jnl`	Constraints on physical reality arising from a formalization of knowledge. CoRR David H. Wolpert
2017	J	`jnl`	Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. CoRR Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
2017	J	`jnl`	Modeling Social Organizations as Communication Networks. CoRR David H. Wolpert, Justin Grana, Brendan D. Tracey, Tim Kohler, Artemy Kolchinsky
2017	J	`jnl`	Nonlinear Information Bottleneck. CoRR Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
2017	J	`jnl`	Number of hidden states needed to physically implement a given conditional distribution. CoRR Jeremy A. Owen, Artemy Kolchinsky, David H. Wolpert
2017	—	`ed.`	Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality, Barcelona, Spain, December 9, 2016. IDM@NIPS Tatiana V. Guy, Miroslav Kárný, David Ríos Insua, David H. Wolpert
2017	J	`jnl`	The minimal hidden computer needed to implement a visible computation. CoRR David H. Wolpert, Artemy Kolchinsky, Jeremy A. Owen
2016	J	`jnl`	A Likelihood Ratio Detector for Identifying Within-Perimeter Computer Network Attacks. CoRR Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
2016	J	`jnl`	A likelihood ratio anomaly detector for identifying within-perimeter computer network attacks. J. Netw. Comput. Appl. Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
2016	—	`conf`	Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach. NIPS Rémi Lam, Karen Willcox, David H. Wolpert
2016	J	`jnl`	The Free Energy Requirements of Biological Organisms; Implications for Evolution. Entropy David H. Wolpert
2016	J	`jnl`	Thermodynamic cost due to changing the initial distribution over states. CoRR Artemy Kolchinsky, David H. Wolpert
2015	—	`book`	Decision Making: Uncertainty, Imperfection, Deliberation and Scalability Decision Making Tatiana V. Guy, Miroslav Kárný, David H. Wolpert
2014	J	`jnl`	A framework for optimal high-level descriptions in science and engineering - preliminary report. CoRR David H. Wolpert, Joshua A. Grochow, Eric Libby, Simon DeDeo
2014	J	`jnl`	Information geometry of influence diagrams and noncooperative games. CoRR Nils Bertschinger, David H. Wolpert, Eckehard Olbrich, Jürgen Jost
2014	J	`jnl`	Predicting the behavior of interacting humans by fusing data from multiple sources. CoRR Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
2013	—	`ch.`	Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate the Future. Decision Making and Imperfection Ritchie Lee, David H. Wolpert, James W. Bono, Scott Backhaus, Russell Bent, Brendan D. Tracey
2013	J	`jnl`	Cyber-Physical Security: A Game Theory Model of Humans Interacting Over Control Systems. IEEE Trans. Smart Grid Scott Backhaus, Russell Bent, James W. Bono, Ritchie Lee, Brendan D. Tracey, David H. Wolpert, Dongping Xie, Yildiray Yildiz
2013	J	`jnl`	Cyber-Physical Security: A Game Theory Model of Humans Interacting over Control Systems CoRR Scott Backhaus, Russell Bent, James W. Bono, Ritchie Lee, Brendan D. Tracey, David H. Wolpert, Dongping Xie, Yildiray Yildiz
2013	—	`book`	Decision Making and Imperfection Decision Making and Imperfection Tatiana V. Guy, Miroslav Kárný, David H. Wolpert
2013	J	`jnl`	Estimating Functions of Distributions Defined over Spaces of Unknown Size. Entropy David H. Wolpert, Simon DeDeo
2013	J	`jnl`	Predicting Behavior in Unstructured Bargaining with a Probability Distribution. J. Artif. Intell. Res. David H. Wolpert, James W. Bono
2013	J	`jnl`	The lesson of Newcomb's paradox. Synth. David H. Wolpert, Gregory Benford
2013	J	`jnl`	Ubiquity symposium: Evolutionary computation and the processes of life: what the no free lunch theorems really mean: how to improve search algorithms. Ubiquity David H. Wolpert
2013	—	`conf`	Using Machine Learning to Improve Stochastic Optimization. AAAI (Late-Breaking Developments) David H. Wolpert, Dev G. Rajnarayan
2012	J	`jnl`	Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate The Future CoRR Ritchie Lee, David H. Wolpert, James W. Bono, Scott Backhaus, Russell Bent, Brendan D. Tracey
2012	J	`jnl`	Predicting the behavior of interacting humans by fusing data from multiple sources CoRR Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
2012	A	`conf`	Predicting the behavior of interacting humans by fusing data from multiple sources. UAI Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
2012	A*	`conf`	Towards a bayesian network game framework for evaluating DDoS attacks and defense. CCS Guanhua Yan, Ritchie Lee, Alex Kent, David H. Wolpert
2011	J	`jnl`	Collective Intelligence, Data Routing and Braess' Paradox CoRR Kagan Tumer, David H. Wolpert
2011	J	`jnl`	Game theoretic modeling of pilot behavior during mid-air encounters CoRR Ritchie Lee, David H. Wolpert
2011	J	`jnl`	Using Supervised Learning to Improve Monte Carlo Integral Estimation CoRR Brendan D. Tracey, David H. Wolpert, Juan J. Alonso
2010	—	`ch.`	Bias-Variance Trade-offs: Novel Applications. Encyclopedia of Machine Learning Dev G. Rajnarayan, David H. Wolpert
2010	J	`jnl`	Hysteresis effects of changing parameters of noncooperative games CoRR David H. Wolpert, Michael Harré, Eckehard Olbrich, Nils Bertschinger, Jürgen Jost
2010	C	`conf`	Inference Concerning Physical Systems. CiE David H. Wolpert
2010	—	`conf`	PGT: A Statistical Approach to Prediction and Mechanism Design. SBP David H. Wolpert, James W. Bono
2010	J	`jnl`	What does Newcomb's paradox teach us? CoRR David H. Wolpert, Gregory Benford
2010	J	`jnl`	Why income comparison is rational. Games Econ. Behav. David H. Wolpert
2009	J	`jnl`	Trembling hand perfection for mixed quantal/best response equilibria. Int. J. Game Theory David H. Wolpert
2009	J	`jnl`	What does Newcomb's paradox teach us? CoRR David H. Wolpert, Gregory Benford
2008	J	`jnl`	Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method CoRR Dev G. Rajnarayan, David H. Wolpert
2008	J	`jnl`	Distributed Constrained Optimization with Semicoordinate Transformations CoRR William G. Macready, David H. Wolpert
2008	—	`conf`	Managing Multiple Interacting Adaptive Systems Via Game Theory. AHS David H. Wolpert, Nilesh V. Kulkarni
2007	J	`jnl`	Parametric Learning and Monte Carlo Optimization CoRR David H. Wolpert, Dev G. Rajnarayan
2007	J	`jnl`	Physical limits of inference CoRR David H. Wolpert
2007	J	`jnl`	Using self-dissimilarity to quantify complexity. Complex. David H. Wolpert, William G. Macready
2006	J	`jnl`	Advances in Distributed Optimization Using Probability Collectives. Adv. Complex Syst. David H. Wolpert, Charlie E. M. Strauss, Dev G. Rajnarayan
2005	J	`jnl`	A Predictive Theory of Games CoRR David H. Wolpert
2005	A	`conf`	A comparative study of probability collectives based multi-agent systems and genetic algorithms. GECCO Chien-Feng Huang, Stefan Bieniawski, David H. Wolpert, Charlie E. M. Strauss
2005	J	`jnl`	Coevolutionary free lunches. IEEE Trans. Evol. Comput. David H. Wolpert, William G. Macready
2004	A	`conf`	Adaptive, Distributed Control of Constrained Multi-Agent Systems. AAMAS Stefan Bieniawski, David H. Wolpert
2004	—	`conf`	Distributed Adaptive Control: Beyond Single-Instant, Discrete Control Variables. MSRAS David H. Wolpert, Stefan Bieniawski
2004	J	`jnl`	Distributed Control by Lagrangian Steepest Descent CoRR David H. Wolpert, Stefan Bieniawski
2004	—	`conf`	Distributed control by Lagrangian steepest descent. CDC David H. Wolpert, Stefan Bieniawski
2004	J	`jnl`	Information Theory - The Bridge Connecting Bounded Rational Game Theory and Statistical Physics CoRR David H. Wolpert
2004	J	`jnl`	Metrics for more than two points at once CoRR David H. Wolpert
2004	A	`conf`	Product Distribution Theory for Control of Multi-Agent Systems. AAMAS Chiu Fan Lee, David H. Wolpert
2003	J	`jnl`	Collectives for the Optimal Combination of Imperfect Objects CoRR Kagan Tumer, David H. Wolpert
2003	J	`jnl`	Improving Search Algorithms by Using Intelligent Coordinates CoRR David H. Wolpert, Kagan Tumer, Esfandiar Bandari
2003	J	`jnl`	Product Distribution Field Theory CoRR David H. Wolpert
2003	—	`conf`	Providing Effective Access to Shared Resources: A COIN Approach. Engineering Self-Organising Systems Stéphane Airiau, Sandip Sen, David H. Wolpert, Kagan Tumer
2002	J	`jnl`	Collective Intelligence, Data Routing and Braess' Paradox. J. Artif. Intell. Res. David H. Wolpert, Kagan Tumer
2002	A	`conf`	Designing agent collectives for systems with Markovian dynamics. AAMAS David H. Wolpert, John W. Lawson
2002	A	`conf`	Learning sequences of actions in collectives of autonomous agents. AAMAS Kagan Tumer, Adrian K. Agogino, David H. Wolpert
2002	—	`conf`	The Design of Collectives of Agents to Control Non-Markovian Systems. AAAI/IAAI John W. Lawson, David H. Wolpert
2001	J	`jnl`	Optimal Payoff Functions for Members of Collectives. Adv. Complex Syst. David H. Wolpert, Kagan Tumer
2001	A*	`conf`	Reinforcement Learning in Distributed Domains: Beyond Team Games. IJCAI David H. Wolpert, Joseph Sill, Kagan Tumer
2001	J	`jnl`	Remarks on a recent paper on the "no free lunch" theorems. IEEE Trans. Evol. Comput. Mario Köppen, David H. Wolpert, William G. Macready
2000	—	`conf`	Adaptivity in agent-based routing for data networks. Agents David H. Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer
2000	—	`conf`	Collective Intelligence and Braess' Paradox. AAAI/IAAI Kagan Tumer, David H. Wolpert
2000	J	`jnl`	On the computational capabilities of physical systems part I: the impossibility of infallible computation CoRR David H. Wolpert
2000	J	`jnl`	On the computational capabilities of physical systems part II: relationship with conventional computer science CoRR David H. Wolpert
1999	J	`jnl`	Adaptivity in Agent-Based Routing for Data Networks. CoRR David H. Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer
1999	J	`jnl`	An Efficient Method To Estimate Bagging's Generalization Error. Mach. Learn. David H. Wolpert, William G. Macready
1999	J	`jnl`	An Introduction to Collective Intelligence CoRR David H. Wolpert, Kagan Tumer
1999	J	`jnl`	Avoiding Braess' Paradox through Collective Intelligence CoRR Kagan Tumer, David H. Wolpert
1999	J	`jnl`	Collective Intelligence for Control of Distributed Dynamical Systems CoRR David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
1999	J	`jnl`	General Principles of Learning-Based Multi-Agent Systems CoRR David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
1999	—	`conf`	General Principles of Learning-Based Multi-Agent Systems. Agents David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
1999	J	`jnl`	Guest Editors' Introduction. Mach. Learn. Philip K. Chan, Salvatore J. Stolfo, David H. Wolpert
1999	J	`jnl`	Linearly Combining Density Estimators via Stacking. Mach. Learn. Padhraic Smyth, David H. Wolpert
1999	J	`jnl`	Using Collective Intelligence to Route Internet Traffic CoRR David H. Wolpert, Kagan Tumer, Jeremy Frank
1998	J	`jnl`	Bandit problems and the exploration/exploitation tradeoff. IEEE Trans. Evol. Comput. William G. Macready, David H. Wolpert
1998	J	`jnl`	Some results concerning off-training-set and IID error for the Gibbs and the Bayes optimal generalizers. Stat. Comput. David H. Wolpert, Emanuel Knill, Tal Grossman
1998	—	`conf`	Using Collective Intelligence to Route Internet Traffic. NIPS David H. Wolpert, Kagan Tumer, Jeremy Frank
1997	A*	`conf`	Anytime Exploratory Data Analysis for Massive Data Sets. KDD Padhraic Smyth, David H. Wolpert
1997	J	`jnl`	No free lunch theorems for optimization. IEEE Trans. Evol. Comput. David H. Wolpert, William G. Macready
1997	J	`jnl`	On Bias Plus Variance. Neural Comput. David H. Wolpert
1997	—	`conf`	Stacked Density Estimation. NIPS Padhraic Smyth, David H. Wolpert
1996	A*	`conf`	Bias Plus Variance Decomposition for Zero-One Loss Functions. ICML Ron Kohavi, David H. Wolpert
1996	J	`jnl`	The Existence of A Priori Distinctions Between Learning Algorithms. Neural Comput. David H. Wolpert
1996	J	`jnl`	The Lack of A Priori Distinctions Between Learning Algorithms. Neural Comput. David H. Wolpert
1996	J	`jnl`	What makes an optimization problem hard? Complex. William G. Macready, David H. Wolpert
1995	A*	`conf`	Horizonal Generalization. ICML David H. Wolpert
1993	—	`conf`	Bayesian Backpropagation Over I-O Functions Rather Than Weights. NIPS David H. Wolpert
1992	J	`jnl`	On the Connection between In-sample Testing and Generalization Error. Complex Syst. David H. Wolpert
1992	—	`conf`	On the Use of Evidence in Neural Networks. NIPS David H. Wolpert
1992	J	`jnl`	Stacked generalization. Neural Networks David H. Wolpert
1990	J	`jnl`	A Mathematical Theory of Generalization: Part I. Complex Syst. David H. Wolpert
1990	J	`jnl`	A Mathematical Theory of Generalization: Part II. Complex Syst. David H. Wolpert
1990	J	`jnl`	Constructing a generalizer superior to NETtalk via a mathematical theory of generalization. Neural Networks David H. Wolpert
1990	J	`jnl`	The Relationship Between Occam's Razor and Convergent Guessing. Complex Syst. David H. Wolpert