David H. Wolpert

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 36

Top Venues

CoRR

Entropy

NIPS

IEEE Trans. Intell. Transp. Syst.

Publications

David H. Wolpert
Implications of computer science theory for the simulation hypothesis. CoRR (2024)
David H. Wolpert, Jens Kipper
Memory Systems, the Epistemic Arrow of Time, and the Second Law. Entropy 26 (2) (2024)
Maria Alejandra Ramirez, Yoav Kolumbus, Rosemarie Nagel, David H. Wolpert, Jürgen Jost
Game Manipulators - the Strategic Implications of Binding Contracts. CoRR (2023)
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
Is stochastic thermodynamics the key to understanding the energy costs of computation? CoRR (2023)
Farita Tasnim, David H. Wolpert
Stochastic Thermodynamics of Multiple Co-Evolving Systems - Beyond Multipartite Processes. Entropy 25 (7) (2023)
Farita Tasnim, Nahuel Freitas, David H. Wolpert
The fundamental thermodynamic costs of communication. CoRR (2023)
David H. Wolpert
What can we know about that which we cannot even imagine? CoRR (2022)
Timothy A. Kohler, Darcy Bird, David H. Wolpert
Social Scale and Collective Computation: Does Information Processing Limit Rate of Growth in Scale? J. Soc. Comput. 3 (1) (2022)
David H. Wolpert
The Implications of the No-Free-Lunch Theorems for Meta-induction. CoRR (2021)
Artemy Kolchinsky, David H. Wolpert
The state dependence of integrated, instantaneous, and fluctuating entropy production in quantum and classical processes. CoRR (2021)
David H. Wolpert, Michael H. Price, Stefani A. Crabtree, Timothy A. Kohler, Jürgen Jost, James Evans, Peter F. Stadler, Hajime Shimao, Manfred D. Laubichler
The Past as a Stochastic Process. CoRR (2021)
David H. Wolpert
Minimum entropy production in multipartite processes due to neighborhood constraints. CoRR (2020)
David H. Wolpert, David Kinney
Noisy Deductive Reasoning: How Humans Construct Math, and How Math Constructs Universes. CoRR (2020)
Artemy Kolchinsky, David H. Wolpert
Entropy production and thermodynamics of information under protocol constraints. CoRR (2020)
David H. Wolpert
What is important about the No Free Lunch theorems? CoRR (2020)
David H. Wolpert
Stochastic thermodynamics of computation. CoRR (2019)
Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
Nonlinear Information Bottleneck. Entropy 21 (12) (2019)
David H. Wolpert
Uncertainty relations and fluctuation theorems for Bayes nets. CoRR (2019)
Artemy Kolchinsky, David H. Wolpert
Thermodynamic costs of Turing Machines. CoRR (2019)
David H. Wolpert, Justin Grana
How Much Would You Pay to Change a Game before Playing It? Entropy 21 (7) (2019)
Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. IEEE Trans. Intell. Transp. Syst. 20 (4) (2019)
Joshua A. Grochow, David H. Wolpert
Beyond Number of Bit Erasures: New Complexity Questions Raised by Recently Discovered Thermodynamic Costs of Computation. SIGACT News 49 (2) (2018)
Artemy Kolchinsky, Brendan D. Tracey, David H. Wolpert
Nonlinear Information Bottleneck. CoRR (2017)
David H. Wolpert, Artemy Kolchinsky, Jeremy A. Owen
The minimal hidden computer needed to implement a visible computation. CoRR (2017)
Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David H. Wolpert
Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes. CoRR (2017)
Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger, David H. Wolpert
Coarse-graining and the Blackwell order. CoRR (2017)
David H. Wolpert
Constraints on physical reality arising from a formalization of knowledge. CoRR (2017)
Jeremy A. Owen, Artemy Kolchinsky, David H. Wolpert
Number of hidden states needed to physically implement a given conditional distribution. CoRR (2017)
David H. Wolpert, Justin Grana, Brendan D. Tracey, Tim Kohler, Artemy Kolchinsky
Modeling Social Organizations as Communication Networks. CoRR (2017)
Johannes Rauh, Pradeep Kr. Banerjee, Eckehard Olbrich, Jürgen Jost, Nils Bertschinger, David H. Wolpert
Coarse-Graining and the Blackwell Order. Entropy 19 (10) (2017)
Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
A likelihood ratio anomaly detector for identifying within-perimeter computer network attacks. J. Netw. Comput. Appl. 66 (2016)
Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
A Likelihood Ratio Detector for Identifying Within-Perimeter Computer Network Attacks. CoRR (2016)
Rémi Lam, Karen Willcox, David H. Wolpert
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach. NIPS (2016)
David H. Wolpert
The Free Energy Requirements of Biological Organisms; Implications for Evolution. Entropy 18 (4) (2016)
Artemy Kolchinsky, David H. Wolpert
Thermodynamic cost due to changing the initial distribution over states. CoRR (2016)
David H. Wolpert
, 138. Entropy 18 (6) (2016)
David H. Wolpert, Joshua A. Grochow, Eric Libby, Simon DeDeo
A framework for optimal high-level descriptions in science and engineering - preliminary report. CoRR (2014)
Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
Predicting the behavior of interacting humans by fusing data from multiple sources. CoRR (2014)
Nils Bertschinger, David H. Wolpert, Eckehard Olbrich, Jürgen Jost
Information geometry of influence diagrams and noncooperative games. CoRR (2014)
David H. Wolpert, James W. Bono
Predicting Behavior in Unstructured Bargaining with a Probability Distribution. J. Artif. Intell. Res. 46 (2013)
David H. Wolpert, Simon DeDeo
Estimating Functions of Distributions Defined over Spaces of Unknown Size. Entropy 15 (11) (2013)
David H. Wolpert, Dev G. Rajnarayan
Using Machine Learning to Improve Stochastic Optimization. AAAI (Late-Breaking Developments) (2013)
Scott Backhaus, Russell Bent, James W. Bono, Ritchie Lee, Brendan D. Tracey, David H. Wolpert, Dongping Xie, Yildiray Yildiz
Cyber-Physical Security: A Game Theory Model of Humans Interacting Over Control Systems. IEEE Trans. Smart Grid 4 (4) (2013)
Scott Backhaus, Russell Bent, James W. Bono, Ritchie Lee, Brendan D. Tracey, David H. Wolpert, Dongping Xie, Yildiray Yildiz
Cyber-Physical Security: A Game Theory Model of Humans Interacting over Control Systems CoRR (2013)
David H. Wolpert, Gregory Benford
The lesson of Newcomb's paradox. Synth. 190 (9) (2013)
David H. Wolpert
Ubiquity symposium: Evolutionary computation and the processes of life: what the no free lunch theorems really mean: how to improve search algorithms. Ubiquity 2013 (December) (2013)
Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
Predicting the behavior of interacting humans by fusing data from multiple sources. UAI (2012)
Erik J. Schlicht, Ritchie Lee, David H. Wolpert, Mykel J. Kochenderfer, Brendan D. Tracey
Predicting the behavior of interacting humans by fusing data from multiple sources CoRR (2012)
Guanhua Yan, Ritchie Lee, Alex Kent, David H. Wolpert
Towards a bayesian network game framework for evaluating DDoS attacks and defense. CCS (2012)
Ritchie Lee, David H. Wolpert, James W. Bono, Scott Backhaus, Russell Bent, Brendan D. Tracey
Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate The Future CoRR (2012)
Ritchie Lee, David H. Wolpert
Game theoretic modeling of pilot behavior during mid-air encounters CoRR (2011)
Kagan Tumer, David H. Wolpert
Collective Intelligence, Data Routing and Braess' Paradox CoRR (2011)
Brendan D. Tracey, David H. Wolpert, Juan J. Alonso
Using Supervised Learning to Improve Monte Carlo Integral Estimation CoRR (2011)
David H. Wolpert, Michael Harré, Eckehard Olbrich, Nils Bertschinger, Jürgen Jost
Hysteresis effects of changing parameters of noncooperative games CoRR (2010)
David H. Wolpert, Gregory Benford
What does Newcomb's paradox teach us? CoRR (2010)
David H. Wolpert
Inference Concerning Physical Systems. CiE (2010)
David H. Wolpert, James W. Bono
PGT: A Statistical Approach to Prediction and Mechanism Design. SBP (2010)
David H. Wolpert
Why income comparison is rational. Games Econ. Behav. 69 (2) (2010)
David H. Wolpert, Gregory Benford
What does Newcomb's paradox teach us? CoRR (2009)
David H. Wolpert
Trembling hand perfection for mixed quantal/best response equilibria. Int. J. Game Theory 38 (4) (2009)
William G. Macready, David H. Wolpert
Distributed Constrained Optimization with Semicoordinate Transformations CoRR (2008)
David H. Wolpert, Nilesh V. Kulkarni
Managing Multiple Interacting Adaptive Systems Via Game Theory. AHS (2008)
Dev G. Rajnarayan, David H. Wolpert
Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method CoRR (2008)
David H. Wolpert
Physical limits of inference CoRR (2007)
David H. Wolpert, William G. Macready
Using self-dissimilarity to quantify complexity. Complex. 12 (3) (2007)
David H. Wolpert, Dev G. Rajnarayan
Parametric Learning and Monte Carlo Optimization CoRR (2007)
David H. Wolpert, Charlie E. M. Strauss, Dev G. Rajnarayan
Advances in Distributed Optimization Using Probability Collectives. Adv. Complex Syst. 9 (4) (2006)
David H. Wolpert
A Predictive Theory of Games CoRR (2005)
David H. Wolpert, William G. Macready
Coevolutionary free lunches. IEEE Trans. Evol. Comput. 9 (6) (2005)
Chien-Feng Huang, Stefan Bieniawski, David H. Wolpert, Charlie E. M. Strauss
A comparative study of probability collectives based multi-agent systems and genetic algorithms. GECCO (2005)
David H. Wolpert, Stefan Bieniawski
Distributed control by Lagrangian steepest descent. CDC (2004)
David H. Wolpert
Information Theory - The Bridge Connecting Bounded Rational Game Theory and Statistical Physics CoRR (2004)
David H. Wolpert, Stefan Bieniawski
Distributed Control by Lagrangian Steepest Descent CoRR (2004)
Stefan Bieniawski, David H. Wolpert
Adaptive, Distributed Control of Constrained Multi-Agent Systems. AAMAS (2004)
Chiu Fan Lee, David H. Wolpert
Product Distribution Theory for Control of Multi-Agent Systems. AAMAS (2004)
David H. Wolpert
Metrics for more than two points at once CoRR (2004)
David H. Wolpert, Stefan Bieniawski
Distributed Adaptive Control: Beyond Single-Instant, Discrete Control Variables. MSRAS (2004)
Kagan Tumer, David H. Wolpert
Collectives for the Optimal Combination of Imperfect Objects CoRR (2003)
David H. Wolpert, Kagan Tumer, Esfandiar Bandari
Improving Search Algorithms by Using Intelligent Coordinates CoRR (2003)
David H. Wolpert
Product Distribution Field Theory CoRR (2003)
Stéphane Airiau, Sandip Sen, David H. Wolpert, Kagan Tumer
Providing Effective Access to Shared Resources: A COIN Approach. Engineering Self-Organising Systems (2003)
David H. Wolpert, Kagan Tumer
Collective Intelligence, Data Routing and Braess' Paradox. J. Artif. Intell. Res. 16 (2002)
Kagan Tumer, Adrian K. Agogino, David H. Wolpert
Learning sequences of actions in collectives of autonomous agents. AAMAS (2002)
John W. Lawson, David H. Wolpert
The Design of Collectives of Agents to Control Non-Markovian Systems. AAAI/IAAI (2002)
David H. Wolpert, John W. Lawson
Designing agent collectives for systems with Markovian dynamics. AAMAS (2002)
Mario Köppen, David H. Wolpert, William G. Macready
Remarks on a recent paper on the "no free lunch" theorems. IEEE Trans. Evol. Comput. 5 (3) (2001)
David H. Wolpert, Joseph Sill, Kagan Tumer
Reinforcement Learning in Distributed Domains: Beyond Team Games. IJCAI (2001)
David H. Wolpert, Kagan Tumer
Optimal Payoff Functions for Members of Collectives. Adv. Complex Syst. 4 (2-3) (2001)
David H. Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer
Adaptivity in agent-based routing for data networks. Agents (2000)
David H. Wolpert
On the computational capabilities of physical systems part I: the impossibility of infallible computation CoRR (2000)
David H. Wolpert
On the computational capabilities of physical systems part II: relationship with conventional computer science CoRR (2000)
Kagan Tumer, David H. Wolpert
Collective Intelligence and Braess' Paradox. AAAI/IAAI (2000)
David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
General Principles of Learning-Based Multi-Agent Systems CoRR (1999)
David H. Wolpert, Kevin R. Wheeler, Kagan Tumer
General Principles of Learning-Based Multi-Agent Systems. Agents (1999)
David H. Wolpert, Kagan Tumer
An Introduction to Collective Intelligence CoRR (1999)
David H. Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer
Adaptivity in Agent-Based Routing for Data Networks. CoRR (1999)
David H. Wolpert, Kagan Tumer, Jeremy Frank
Using Collective Intelligence to Route Internet Traffic CoRR (1999)
Padhraic Smyth, David H. Wolpert
Linearly Combining Density Estimators via Stacking. Mach. Learn. 36 (1-2) (1999)
Kagan Tumer, David H. Wolpert
Avoiding Braess' Paradox through Collective Intelligence CoRR (1999)
David H. Wolpert, William G. Macready
An Efficient Method To Estimate Bagging's Generalization Error. Mach. Learn. 35 (1) (1999)

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Publication Activity (10 Years)

Top Topics

Top Venues

David H. Wolpert