David Wolpert

David H. Wolpert

2009
53	EE	Dennis Huo, Qiaoyan Yu, David Wolpert, Paul Ampadu: A simulator for ballistic nanostructures in a 2-D electron gas. JETC 5(1): (2009)
2008
52	EE	David Wolpert, Paul Ampadu: A Low-Power Safety Mode for Variation Tolerant Systems-on-Chip. DFT 2008: 33-41
51	EE	Dev G. Rajnarayan, David Wolpert: Bias-Variance Techniques for Monte Carlo Optimization: Cross-validation for the CE Method CoRR abs/0810.0877: (2008)
50	EE	William G. Macready, David Wolpert: Distributed Constrained Optimization with Semicoordinate Transformations CoRR abs/0811.0823: (2008)
49	EE	David Wolpert, Paul Ampadu: Adaptive Delay Correction for Runtime Variation in Dynamic voltage Scaling Systems. Journal of Circuits, Systems, and Computers 17(6): 1111-1128 (2008)
2007
48	EE	David Wolpert, Paul Ampadu: Temperature-Robust Performance Yield through Supply Voltage Selection. ISCAS 2007: 2279-2282
47	EE	David H. Wolpert, Dev G. Rajnarayan: Parametric Learning and Monte Carlo Optimization CoRR abs/0704.1274: (2007)
46	EE	David H. Wolpert: Physical limits of inference CoRR abs/0708.1362: (2007)
45	EE	David H. Wolpert, William G. Macready: Using self-dissimilarity to quantify complexity. Complexity 12(3): 77-85 (2007)
2005
44	EE	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: 751-752
43	EE	David H. Wolpert: A Predictive Theory of Games CoRR abs/nlin/0512015: (2005)
42	EE	David H. Wolpert, William G. Macready: Coevolutionary free lunches. IEEE Trans. Evolutionary Computation 9(6): 721-735 (2005)
2004
41	EE	Stefan Bieniawski, David Wolpert: Adaptive, Distributed Control of Constrained Multi-Agent Systems. AAMAS 2004: 1230-1231
40	EE	Chiu Fan Lee, David H. Wolpert: Product Distribution Theory for Control of Multi-Agent Systems. AAMAS 2004: 522-529
39	EE	David Wolpert: Information Theory - The Bridge Connecting Bounded Rational Game Theory and Statistical Physics CoRR cond-mat/0402508: (2004)
38	EE	David Wolpert, Stefan Bieniawski: Distributed Control by Lagrangian Steepest Descent CoRR cs.MA/0403012: (2004)
37	EE	David Wolpert: Metrics for more than two points at once CoRR nlin.AO/0404032: (2004)
2003
36	EE	Stéphane Airiau, Sandip Sen, David Wolpert, Kagan Tumer: Providing Effective Access to Shared Resources: A COIN Approach. Engineering Self-Organising Systems 2003: 249-264
35	EE	Kagan Tumer, David Wolpert: Collectives for the Optimal Combination of Imperfect Objects CoRR cond-mat/0301459: (2003)
34	EE	David Wolpert: Product Distribution Field Theory CoRR cond-mat/0307630: (2003)
33	EE	David Wolpert, Kagan Tumer, Esfandiar Bandari: Improving Search Algorithms by Using Intelligent Coordinates CoRR math.OC/0301268: (2003)
2002
32		John W. Lawson, David Wolpert: The Design of Collectives of Agents to Control Non-Markovian Systems. AAAI/IAAI 2002: 332-337
31	EE	David Wolpert, John W. Lawson: Designing agent collectives for systems with Markovian dynamics. AAMAS 2002: 1066-1073
30	EE	Kagan Tumer, Adrian K. Agogino, David Wolpert: Learning sequences of actions in collectives of autonomous agents. AAMAS 2002: 378-385
29	EE	David Wolpert, Kagan Tumer: Collective Intelligence, Data Routing and Braess' Paradox. J. Artif. Intell. Res. (JAIR) 16: 359-387 (2002)
2001
28		David Wolpert, Joseph Sill, Kagan Tumer: Reinforcement Learning in Distributed Domains: Beyond Team Games. IJCAI 2001: 819-824
27		Mario Köppen, David Wolpert, William G. Macready: Remarks on a recent paper on the "no free lunch" theorems. IEEE Trans. Evolutionary Computation 5(3): 295-296 (2001)
2000
26		Kagan Tumer, David Wolpert: Collective Intelligence and Braess' Paradox. AAAI/IAAI 2000: 104-109
25	EE	David Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer: Adaptivity in agent-based routing for data networks. Agents 2000: 396-403
24	EE	David Wolpert: On the computational capabilities of physical systems part I: the impossibility of infallible computation CoRR physics/0005058: (2000)
23	EE	David Wolpert: On the computational capabilities of physical systems part II: relationship with conventional computer science CoRR physics/0005059: (2000)
1999
22	EE	David Wolpert, Kevin R. Wheeler, Kagan Tumer: General Principles of Learning-Based Multi-Agent Systems. Agents 1999: 77-83
21	EE	Kagan Tumer, David Wolpert: Avoiding Braess' Paradox through Collective Intelligence CoRR cs.DC/9912012: (1999)
20	EE	David Wolpert, Kagan Tumer, Jeremy Frank: Using Collective Intelligence to Route Internet Traffic CoRR cs.LG/9905004: (1999)
19	EE	David Wolpert, Kevin R. Wheeler, Kagan Tumer: Collective Intelligence for Control of Distributed Dynamical Systems CoRR cs.LG/9908013: (1999)
18	EE	David Wolpert, Kagan Tumer: An Introduction to Collective Intelligence CoRR cs.LG/9908014: (1999)
17	EE	David Wolpert, Kevin R. Wheeler, Kagan Tumer: General Principles of Learning-Based Multi-Agent Systems CoRR cs.MA/9905005: (1999)
16	EE	David Wolpert, Sergey Kirshner, Christopher J. Merz, Kagan Tumer: Adaptivity in Agent-Based Routing for Data Networks CoRR cs.MA/9912011: (1999)
15		David Wolpert, William G. Macready: An Efficient Method To Estimate Bagging's Generalization Error. Machine Learning 35(1): 41-55 (1999)
14		Philip K. Chan, Salvatore J. Stolfo, David Wolpert: Guest Editors' Introduction. Machine Learning 36(1-2): 5-7 (1999)
13		Padhraic Smyth, David Wolpert: Linearly Combining Density Estimators via Stacking. Machine Learning 36(1-2): 59-83 (1999)
1998
12	EE	David Wolpert, Kagan Tumer, Jeremy Frank: Using Collective Intelligence to Route Internet Traffic. NIPS 1998: 952-960
11		William G. Macready, David Wolpert: Bandit problems and the exploration/exploitation tradeoff. IEEE Trans. Evolutionary Computation 2(1): 2-22 (1998)
1997
10		Padhraic Smyth, David Wolpert: Anytime Exploratory Data Analysis for Massive Data Sets. KDD 1997: 54-60
9		Padhraic Smyth, David Wolpert: Stacked Density Estimation. NIPS 1997
8		David Wolpert, William G. Macready: No free lunch theorems for optimization. IEEE Trans. Evolutionary Computation 1(1): 67-82 (1997)
7	EE	David Wolpert: On Bias Plus Variance. Neural Computation 9(6): 1211-1243 (1997)
1996
6		Ron Kohavi, David Wolpert: Bias Plus Variance Decomposition for Zero-One Loss Functions. ICML 1996: 275-283
1995
5		David Wolpert: Horizonal Generalization. ICML 1995: 566-574
1993
4	EE	David Wolpert: Bayesian Backpropagation Over I-O Functions Rather Than Weights. NIPS 1993: 200-207
1992
3	EE	David Wolpert: On the Use of Evidence in Neural Networks. NIPS 1992: 539-546
2	EE	David H. Wolpert: Stacked generalization. Neural Networks 5(2): 241-259 (1992)
1990
1	EE	David H. Wolpert: Constructing a generalizer superior to NETtalk via a mathematical theory of generalization. Neural Networks 3(4): 445-452 (1990)

Coauthor Index

1	Adrian K. Agogino	[30]
2	Stéphane Airiau	[36]
3	Paul Ampadu	[48] [49] [52] [53]
4	Esfandiar Bandari	[33]
5	Stefan Bieniawski	[38] [41] [44]
6	Philip K. Chan	[14]
7	Jeremy Frank	[12] [20]
8	Chien-Feng Huang	[44]
9	Dennis Huo	[53]
10	Sergey Kirshner	[16] [25]
11	Ron Kohavi	[6]
12	Mario Köppen	[27]
13	John W. Lawson	[31] [32]
14	Chiu Fan Lee	[40]
15	William G. Macready	[8] [11] [15] [27] [42] [45] [50]
16	Christopher J. Merz	[16] [25]
17	Dev G. Rajnarayan	[47] [51]
18	Sandip Sen	[36]
19	Joseph Sill	[28]
20	Padhraic Smyth	[9] [10] [13]
21	Salvatore J. Stolfo	[14]
22	Charlie E. M. Strauss	[44]
23	Kagan Tumer	[12] [16] [17] [18] [19] [20] [21] [22] [25] [26] [28] [29] [30] [33] [35] [36]
24	Kevin R. Wheeler	[17] [19] [22]
25	Qiaoyan Yu	[53]

Colors in the list of coauthors